L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. San Diego and Carlsbad Career Fair Date: Thursday, June 25th, 2026 Time: 9am-12pm and 3pm-6pm Career Fair Location: Hampton Inn - 14068 Stowe Drive Poway, Ca. 92064 Are you ready to take your career to new heights? L3Harris is a leading name in aerospace and defense, particularly recognized for our contributions in propulsion and energetics for space, missile defense, and other advanced programs. This career fair is your chance to engage directly with our hiring managers and interview on-the-spot! We are seeking talented and experienced candidates for numerous full-time positions in our thriving CSD segment. If you are passionate about innovation and excellence, this event is for you! We will be interviewing and hiring for various positions across multiple shifts, including: Electrical Engineering Mechanical Engineering Project Engineering Systems Engineering Software Engineering Systems Engineering Contracts Information Security Systems Engineer Program Management Program Finance/Financial Analyst Click 'APPLY NOW' to confirm your attendance. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
06/08/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. San Diego and Carlsbad Career Fair Date: Thursday, June 25th, 2026 Time: 9am-12pm and 3pm-6pm Career Fair Location: Hampton Inn - 14068 Stowe Drive Poway, Ca. 92064 Are you ready to take your career to new heights? L3Harris is a leading name in aerospace and defense, particularly recognized for our contributions in propulsion and energetics for space, missile defense, and other advanced programs. This career fair is your chance to engage directly with our hiring managers and interview on-the-spot! We are seeking talented and experienced candidates for numerous full-time positions in our thriving CSD segment. If you are passionate about innovation and excellence, this event is for you! We will be interviewing and hiring for various positions across multiple shifts, including: Electrical Engineering Mechanical Engineering Project Engineering Systems Engineering Software Engineering Systems Engineering Contracts Information Security Systems Engineer Program Management Program Finance/Financial Analyst Click 'APPLY NOW' to confirm your attendance. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. San Diego and Carlsbad Career Fair Date: Thursday, June 25th, 2026 Time: 9am-12pm and 3pm-6pm Career Fair Location: Hampton Inn - 14068 Stowe Drive Poway, Ca. 92064 Are you ready to take your career to new heights? L3Harris is a leading name in aerospace and defense, particularly recognized for our contributions in propulsion and energetics for space, missile defense, and other advanced programs. This career fair is your chance to engage directly with our hiring managers and interview on-the-spot! We are seeking talented and experienced candidates for numerous full-time positions in our thriving CSD segment. If you are passionate about innovation and excellence, this event is for you! We will be interviewing and hiring for various positions across multiple shifts, including: Electrical Engineering Mechanical Engineering Project Engineering Systems Engineering Software Engineering Systems Engineering Contracts Information Security Systems Engineer Program Management Program Finance/Financial Analyst Click 'APPLY NOW' to confirm your attendance. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
06/08/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. San Diego and Carlsbad Career Fair Date: Thursday, June 25th, 2026 Time: 9am-12pm and 3pm-6pm Career Fair Location: Hampton Inn - 14068 Stowe Drive Poway, Ca. 92064 Are you ready to take your career to new heights? L3Harris is a leading name in aerospace and defense, particularly recognized for our contributions in propulsion and energetics for space, missile defense, and other advanced programs. This career fair is your chance to engage directly with our hiring managers and interview on-the-spot! We are seeking talented and experienced candidates for numerous full-time positions in our thriving CSD segment. If you are passionate about innovation and excellence, this event is for you! We will be interviewing and hiring for various positions across multiple shifts, including: Electrical Engineering Mechanical Engineering Project Engineering Systems Engineering Software Engineering Systems Engineering Contracts Information Security Systems Engineer Program Management Program Finance/Financial Analyst Click 'APPLY NOW' to confirm your attendance. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary Location: This role is located in either Seattle or San Jose with a preference for Seattle. NetApp is seeking a highly technically skilled and force multiplier Vice President of Product for Cloud Storage. You have an opportunity to define and drive the strategy and growth of our first party storage service in Microsoft Azure. The successful candidate will have a proven track record of owning large, complex product portfolios, driving business outcomes at scale, and partnering with any of the Hyperscalers to align strategy and deliver market-leading solutions as an external ISV leader into the cloud. They will have deep knowledge and experience in high scale cloud infrastructure services, cloud architecture, and enterprise workloads as the overall product leader for Azure NetApp Files. Why should you be interestesd NetApp has been pioneering and leading the Cloud File Storage market. NetApp is the only storage option available as a first party service in the leading cloud with strategic alignment and OEM products. Interested in learning more? Visit Azure NetApp Files NetApp NetApp had a great culture before most companies realized the importance of having great culture. We embrace diversity and openness because it's in our DNA. We push limits and reward great ideas. Our volunteer time off program is best in class, offering employees 40 hours of paid time off per year to volunteer with their favorite organizations. See NetApp Serves for our social impact program. We have world-class compensation and benefits. We want employees to participate in the wealth and value creation they drive. We also offer educational assistance and child and elder care resources. Interested in not just building products but building and growing a Fortune 500 innovative tech company? Come join us! Job Requirements Key Responsibilities Have you got what it takes to succeed The following information should be read carefully by all candidates. • Provide leadership and guidance to the organization within our cloud storage division with a focus on Microsoft Azure Platform. • Envision and execute plans for business growth and customer focused products which often might be built by multiple teams in multiple organizations. Drive outcomes that have a bottom-line impact and/or yield a competitive advantage for the business. • Partner with Microsoft to drive product and business strategy of Cloud Services, including tight integration with the field and sales organization. • Lead storage innovation in partnership with the hyperscalers, adopting newest cloud capabilities/options and building optimize storage and workloads offerings. • Owns prioritization of product portfolio and driving clarity across the company on the rationale behind prioritization. Defines the 2+ year strategic vision and long-term roadmap. • Drives strategic industry communications including analyst relations and press briefings. This role will present multiple opportunities to be a speaker at national or international external events. • Drives communication strategy with product marketing and PR for major launches of existing or new product offerings. • Build and manage a high-performing product team and deliver successful products into the cloud. • Work closely with cross-functional teams including engineering, other product management teams, sales, and marketing to ensure a cohesive approach to delivering cloud storage on GCP. • Collaborate with executive-level stakeholders, including the CEO staff, technical leaders at Microsoft Azure, and top customers to ensure alignment and integration with our broader product portfolio. • Help teams be excellent and flawless in execution. Be relentless, have grit, be disciplined. Also build organization which moves at cloud speed and yet have the patience to build truly great things. Key Qualifications 15+ years of technical product management experience with 10+ years leading enterprise or platform PM teams Experience building products with high scale and as cloud native services Proficiency in building and operating cloud services PnL Experience in leading a complex large organization and driving revenue and market share growth. Strong customer discovery background with the ability to translate ambiguity into clarity Possess a decent understanding of Microsoft Azure services or any other Hyperscalers. Experience in storage technologies is advantageous but not required. Strong verbal and written communication and collaboration skills with the ability to work effectively with cross-functional teams. Strong leadership skills with the ability to dive deep, strong ownership and sense of urgency to drive innovation to delight customers Genuinely a servant leader. You have authentic leadership that arises not from exercise of power or self-interested actions but from a fundamental desire to first help, coach, mentor others and make them great. Up to date with the latest advancements and trends in Hyperscalers as well as in the field of AI and ability to leaverage that knowledge to drive innovation and deliver best-in-class solutions. Education • Bachelor's or master's degree in computer science or related field • Master's in business administration preferred but not mandatory Compensation: The target salary range for this position is 314,500 - 407,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. xibtplm We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
06/08/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary Location: This role is located in either Seattle or San Jose with a preference for Seattle. NetApp is seeking a highly technically skilled and force multiplier Vice President of Product for Cloud Storage. You have an opportunity to define and drive the strategy and growth of our first party storage service in Microsoft Azure. The successful candidate will have a proven track record of owning large, complex product portfolios, driving business outcomes at scale, and partnering with any of the Hyperscalers to align strategy and deliver market-leading solutions as an external ISV leader into the cloud. They will have deep knowledge and experience in high scale cloud infrastructure services, cloud architecture, and enterprise workloads as the overall product leader for Azure NetApp Files. Why should you be interestesd NetApp has been pioneering and leading the Cloud File Storage market. NetApp is the only storage option available as a first party service in the leading cloud with strategic alignment and OEM products. Interested in learning more? Visit Azure NetApp Files NetApp NetApp had a great culture before most companies realized the importance of having great culture. We embrace diversity and openness because it's in our DNA. We push limits and reward great ideas. Our volunteer time off program is best in class, offering employees 40 hours of paid time off per year to volunteer with their favorite organizations. See NetApp Serves for our social impact program. We have world-class compensation and benefits. We want employees to participate in the wealth and value creation they drive. We also offer educational assistance and child and elder care resources. Interested in not just building products but building and growing a Fortune 500 innovative tech company? Come join us! Job Requirements Key Responsibilities Have you got what it takes to succeed The following information should be read carefully by all candidates. • Provide leadership and guidance to the organization within our cloud storage division with a focus on Microsoft Azure Platform. • Envision and execute plans for business growth and customer focused products which often might be built by multiple teams in multiple organizations. Drive outcomes that have a bottom-line impact and/or yield a competitive advantage for the business. • Partner with Microsoft to drive product and business strategy of Cloud Services, including tight integration with the field and sales organization. • Lead storage innovation in partnership with the hyperscalers, adopting newest cloud capabilities/options and building optimize storage and workloads offerings. • Owns prioritization of product portfolio and driving clarity across the company on the rationale behind prioritization. Defines the 2+ year strategic vision and long-term roadmap. • Drives strategic industry communications including analyst relations and press briefings. This role will present multiple opportunities to be a speaker at national or international external events. • Drives communication strategy with product marketing and PR for major launches of existing or new product offerings. • Build and manage a high-performing product team and deliver successful products into the cloud. • Work closely with cross-functional teams including engineering, other product management teams, sales, and marketing to ensure a cohesive approach to delivering cloud storage on GCP. • Collaborate with executive-level stakeholders, including the CEO staff, technical leaders at Microsoft Azure, and top customers to ensure alignment and integration with our broader product portfolio. • Help teams be excellent and flawless in execution. Be relentless, have grit, be disciplined. Also build organization which moves at cloud speed and yet have the patience to build truly great things. Key Qualifications 15+ years of technical product management experience with 10+ years leading enterprise or platform PM teams Experience building products with high scale and as cloud native services Proficiency in building and operating cloud services PnL Experience in leading a complex large organization and driving revenue and market share growth. Strong customer discovery background with the ability to translate ambiguity into clarity Possess a decent understanding of Microsoft Azure services or any other Hyperscalers. Experience in storage technologies is advantageous but not required. Strong verbal and written communication and collaboration skills with the ability to work effectively with cross-functional teams. Strong leadership skills with the ability to dive deep, strong ownership and sense of urgency to drive innovation to delight customers Genuinely a servant leader. You have authentic leadership that arises not from exercise of power or self-interested actions but from a fundamental desire to first help, coach, mentor others and make them great. Up to date with the latest advancements and trends in Hyperscalers as well as in the field of AI and ability to leaverage that knowledge to drive innovation and deliver best-in-class solutions. Education • Bachelor's or master's degree in computer science or related field • Master's in business administration preferred but not mandatory Compensation: The target salary range for this position is 314,500 - 407,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. xibtplm We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Own Every Moment at NetApp Is this the role you are looking for If so read on for more details, and make sure to apply today. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are seeking an analytical and collaborative Strategy & Operations Analyst to join our team. In this mid-level role, you will act as a key partner to our business and Go-To-Market (GTM) leaders, using data-driven insights to optimize operational workflows, support GTM initiatives, and track business performance. As an IC3, you will take ownership of key analytical processes and help execute cross-functional initiatives that align sales, marketing, finance and product strategies with our core organizational goals. This is a highly visible and impactful role that requires strong analytical skills, a collaborative mindset, and the ability to translate data into actionable business recommendations. Ideal candidates will reside in Raleigh, NC, New York City, NY, Boulder, CO, San Jose, CA. Job Responsibilities Provide data-driven insights and strategic recommendations to support the next phase of cloud business growth. Collaborate with sales, product, and cloud leadership to build operational frameworks and business cases that drive strategic GTM initiatives and market penetration. Identify bottlenecks and inefficiencies in current GTM and operational workflows, proposing and implementing process improvements to increase scalability across all business lines. Work with senior leaders to develop a 3-year plan for the cloud business, providing input on operating models, scale GTM motions, and new customer acquisition. Conduct ad-hoc research on market trends, competitor positioning, and customer segments to help inform strategic planning and targeting. Requirements & Education Typically requires a minimum of 5+ years of experience in strategy, business operations, sales operations, management consulting, or a related analytical role. A bachelor's degree in Business, Finance, Computer Science, Economics, or a related quantitative field is preferred. Strong proficiency with SFDC (Salesforce) is desired. High proficiency in data analysis and visualization tools (e.g., Excel/Google Sheets, SQL, Tableau, Looker). Familiarity with Go-To-Market frameworks, sales funnels, and marketing operations. Experience working within a consumption-based business model is a significant plus. Strong project management skills, with the proven ability to manage multiple priorities, take initiative, and drive cross-functional initiatives in a fast-paced environment. Excellent executive communication skills (both verbal and written); highly capable of synthesizing complex data into clear, compelling takeaways and presentations for senior leadership and stakeholders. Strong analytical and problem-solving skills with an ability to work through ambiguity. The target salary range for this position is 100,300 - 149,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. xibtplm We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
06/08/2026
Full time
Own Every Moment at NetApp Is this the role you are looking for If so read on for more details, and make sure to apply today. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are seeking an analytical and collaborative Strategy & Operations Analyst to join our team. In this mid-level role, you will act as a key partner to our business and Go-To-Market (GTM) leaders, using data-driven insights to optimize operational workflows, support GTM initiatives, and track business performance. As an IC3, you will take ownership of key analytical processes and help execute cross-functional initiatives that align sales, marketing, finance and product strategies with our core organizational goals. This is a highly visible and impactful role that requires strong analytical skills, a collaborative mindset, and the ability to translate data into actionable business recommendations. Ideal candidates will reside in Raleigh, NC, New York City, NY, Boulder, CO, San Jose, CA. Job Responsibilities Provide data-driven insights and strategic recommendations to support the next phase of cloud business growth. Collaborate with sales, product, and cloud leadership to build operational frameworks and business cases that drive strategic GTM initiatives and market penetration. Identify bottlenecks and inefficiencies in current GTM and operational workflows, proposing and implementing process improvements to increase scalability across all business lines. Work with senior leaders to develop a 3-year plan for the cloud business, providing input on operating models, scale GTM motions, and new customer acquisition. Conduct ad-hoc research on market trends, competitor positioning, and customer segments to help inform strategic planning and targeting. Requirements & Education Typically requires a minimum of 5+ years of experience in strategy, business operations, sales operations, management consulting, or a related analytical role. A bachelor's degree in Business, Finance, Computer Science, Economics, or a related quantitative field is preferred. Strong proficiency with SFDC (Salesforce) is desired. High proficiency in data analysis and visualization tools (e.g., Excel/Google Sheets, SQL, Tableau, Looker). Familiarity with Go-To-Market frameworks, sales funnels, and marketing operations. Experience working within a consumption-based business model is a significant plus. Strong project management skills, with the proven ability to manage multiple priorities, take initiative, and drive cross-functional initiatives in a fast-paced environment. Excellent executive communication skills (both verbal and written); highly capable of synthesizing complex data into clear, compelling takeaways and presentations for senior leadership and stakeholders. Strong analytical and problem-solving skills with an ability to work through ambiguity. The target salary range for this position is 100,300 - 149,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. xibtplm We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Job Description Location: Tacoma, WA, Venice, FL, or Harrisburg, PA. Pay Range: $103,700 - $129,700 Depending on experience and qualifications. Adjusted for the Tacoma market: $111,135 - $142,700 Depending on experience and qualifications. MITER Brands is a residential window and door manufacturer that provides a leading portfolio of window and door brands for the new construction and replacement segments. MITER Brands, also known as Milgard, MI Windows & Doors and Western Window Systems is one of the nation's largest suppliers of vinyl windows and patio doors and aluminum windows and doors with plants across the country. The Manager of Quality Assurance for IT is responsible for establishing, implementing, and maintaining a quality assurance environment and procedures to ensure successful release of developed or configured software applications used in the production of MITER products. This individual will lead a team of QA professionals, managing processes and team members to conduct quality assurance testing, and manage the day-to-day activities of the QA teams. Responsibilities Manages the day-to-day activities of the QA team, including scheduling, training, and evaluations. Manages testing schedules, ensuring the QA team meets expectations and deadlines. Oversees team members' work to ensure process and procedures are adhered to specifications. Serves as a QA liaison across the IT Software Solution teams and collaborates with various IT team members (team leads, developers, business analysts, etc.) to complete software initiatives. Establishes and implements processes and procedures to test all software prior to release into the production environment. Facilitates automated and manual testing methods such as integration testing, functional testing, load testing and regression testing where required. Create and execute test plans and related documents that accurately reflect testing of requirements found in the functional design specifications, creates use case scenarios, and conduct pre-release tests with the user community. Reports test results to development staff and monitors correction and retest of all pre-production code. Uses a change management tool to track tasks and assignments related to software implementations and modifications. Maintains accurate log of all incidents as they pertain to a software release. Performs software test processes for all code/software placed into the QA test environment to identify any software defects. Participates in integration testing, functionality testing, and regression testing. Tests and validates business requirements and functional specifications have been accurately implemented into software applications. Identifies gaps between business/user requirements and software functionality. Coordinate activities and manage assignments involving QA analysts, interns, etc. Provides status reports regularly including established metrics and KPIs. Develops, maintains, and executes formal written QA Release procedures. Provides governance and confirmation that the necessary testing has been successfully completed and code is ready to be released into the MITER production environments. Identifies and recommends continuous improvement initiatives to increase team efficiencies and minimize defects in software applications and manufactured products. Apply industry best practices and developing new tools and processes to ensure quality goals are met. Practice and ensure change management standardized methods and procedures are used for efficient and prompt handling of all software changes via the company's change management system. Qualifications Bachelor's degree in a Technology or Business-related degree. 5+ years of experience as a Quality Assurance Analyst in software development or computer related field. 2+ years of experience as a Quality Assurance Lead is preferred. Strong computer skills. Experience in Manufacturing industry is a plus. Familiarity with ITIL concepts, such as change management, change advisory board, incident, etc. Familiarity with SDLC methodologies. Familiarity with automated testing tools. Strong critical thinking skills; use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems. Attention to detail and ability to develop and follow procedures required. Ability to work effectively with internal and external groups with different levels of technological knowledge. Requires strong analytical and problem-solving skills to work effectively in a cross-functional team environment What We Offer Our benefits package includes coverage of your health, wealth, and wellness for you and your eligible spouse/dependents. We offer a competitive salary and benefits package, including a 401k with company match and generous paid time off to help you balance your life. Below is a list of benefits you will enjoy while working with our company. - Three comprehensive Medical plan options Prescription Dental Vision - Company Paid Life Insurance - Voluntary Life Insurance - Supplemental Hospital Indemnity, Critical Illness, and Accident Insurance - Company-paid Short-Term Disability - Company-paid Long-Term Disability - Paid time off (PTO) and paid Holidays - 401k retirement plan with company match - Employee Assistance Program - Teladoc - Legal Insurance - Identity Theft Protection - Pet Insurance - Team Member Discount Program - Tuition Reimbursement - Yearly Wellness Clinic MITER Brands, also known as MI Windows and Doors, Milgard and PGT Industries are an equal-opportunity employer. The company does not discriminate based on religion, race, creed, color, national origin, sex, age, disability, handicap, veteran status, sexual orientation, genetic information, or any other applicable legally protected category.
06/08/2026
Full time
Job Description Location: Tacoma, WA, Venice, FL, or Harrisburg, PA. Pay Range: $103,700 - $129,700 Depending on experience and qualifications. Adjusted for the Tacoma market: $111,135 - $142,700 Depending on experience and qualifications. MITER Brands is a residential window and door manufacturer that provides a leading portfolio of window and door brands for the new construction and replacement segments. MITER Brands, also known as Milgard, MI Windows & Doors and Western Window Systems is one of the nation's largest suppliers of vinyl windows and patio doors and aluminum windows and doors with plants across the country. The Manager of Quality Assurance for IT is responsible for establishing, implementing, and maintaining a quality assurance environment and procedures to ensure successful release of developed or configured software applications used in the production of MITER products. This individual will lead a team of QA professionals, managing processes and team members to conduct quality assurance testing, and manage the day-to-day activities of the QA teams. Responsibilities Manages the day-to-day activities of the QA team, including scheduling, training, and evaluations. Manages testing schedules, ensuring the QA team meets expectations and deadlines. Oversees team members' work to ensure process and procedures are adhered to specifications. Serves as a QA liaison across the IT Software Solution teams and collaborates with various IT team members (team leads, developers, business analysts, etc.) to complete software initiatives. Establishes and implements processes and procedures to test all software prior to release into the production environment. Facilitates automated and manual testing methods such as integration testing, functional testing, load testing and regression testing where required. Create and execute test plans and related documents that accurately reflect testing of requirements found in the functional design specifications, creates use case scenarios, and conduct pre-release tests with the user community. Reports test results to development staff and monitors correction and retest of all pre-production code. Uses a change management tool to track tasks and assignments related to software implementations and modifications. Maintains accurate log of all incidents as they pertain to a software release. Performs software test processes for all code/software placed into the QA test environment to identify any software defects. Participates in integration testing, functionality testing, and regression testing. Tests and validates business requirements and functional specifications have been accurately implemented into software applications. Identifies gaps between business/user requirements and software functionality. Coordinate activities and manage assignments involving QA analysts, interns, etc. Provides status reports regularly including established metrics and KPIs. Develops, maintains, and executes formal written QA Release procedures. Provides governance and confirmation that the necessary testing has been successfully completed and code is ready to be released into the MITER production environments. Identifies and recommends continuous improvement initiatives to increase team efficiencies and minimize defects in software applications and manufactured products. Apply industry best practices and developing new tools and processes to ensure quality goals are met. Practice and ensure change management standardized methods and procedures are used for efficient and prompt handling of all software changes via the company's change management system. Qualifications Bachelor's degree in a Technology or Business-related degree. 5+ years of experience as a Quality Assurance Analyst in software development or computer related field. 2+ years of experience as a Quality Assurance Lead is preferred. Strong computer skills. Experience in Manufacturing industry is a plus. Familiarity with ITIL concepts, such as change management, change advisory board, incident, etc. Familiarity with SDLC methodologies. Familiarity with automated testing tools. Strong critical thinking skills; use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems. Attention to detail and ability to develop and follow procedures required. Ability to work effectively with internal and external groups with different levels of technological knowledge. Requires strong analytical and problem-solving skills to work effectively in a cross-functional team environment What We Offer Our benefits package includes coverage of your health, wealth, and wellness for you and your eligible spouse/dependents. We offer a competitive salary and benefits package, including a 401k with company match and generous paid time off to help you balance your life. Below is a list of benefits you will enjoy while working with our company. - Three comprehensive Medical plan options Prescription Dental Vision - Company Paid Life Insurance - Voluntary Life Insurance - Supplemental Hospital Indemnity, Critical Illness, and Accident Insurance - Company-paid Short-Term Disability - Company-paid Long-Term Disability - Paid time off (PTO) and paid Holidays - 401k retirement plan with company match - Employee Assistance Program - Teladoc - Legal Insurance - Identity Theft Protection - Pet Insurance - Team Member Discount Program - Tuition Reimbursement - Yearly Wellness Clinic MITER Brands, also known as MI Windows and Doors, Milgard and PGT Industries are an equal-opportunity employer. The company does not discriminate based on religion, race, creed, color, national origin, sex, age, disability, handicap, veteran status, sexual orientation, genetic information, or any other applicable legally protected category.
Date Posted: 2026-04-28 Country: United States of America Location: US-MA-TEWKSBURY-TB2 50 Apple Hill Dr SUDBURY BLDG, Tewksbury Tb2 200 Sudbury Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), system performance, System Security Engineering (SSE), integration and system level testing, identifying and resolving hardware, software, and networking issues, and developing automated or operator-driven tests in support of system-level integration, verification and validation. Within SE&TC, Life Cycle Engineering (LCE) is responsible for ensuring our products are Safe, Reliable, Maintainable and delivered on time. Life Cycle Engineering consists of multiple disciplines that support engineering, our program offices and our customers. Our Life Cycle Engineering disciplines participate in the total life cycle of our products from conception to deactivation. Our focus area is product support, including the following disciplines: Logistics, Technical Manuals, Training, Reliability, Maintainability, Supportability and Repair. What You Will Do : As a Sustainment Data Analyst, you'll be assigned to one or more LTAMDS or IRAD programs and will be responsible for providing innovative and trusted solutions that optimize the efficiency and effectiveness of the Land and Air Defense products and services over their life cycle. You'll accomplish this mission by leveraging existing and new capabilities being developed within sustainment and by working with the following entities: Systems, Software and Hardware design organizations Engineering Cross Product Teams (CPTs) LTAMDS Integrated Product Teams (IPTs) Chief Engineers, Program Directors and Program Managers National and International Customers Domestic and International Travel May Be Required This position will be based in Tewksbury, MA. What You Will Do: Responsibilities include the following: Manage highly agile teams (5-10 employees) Develop Long-Term Roadmaps for technology development Support of Open source and FOSS integration with D4 data pipeline Development capabilities in alignment with modern programming languages Support and manage projects ranging from Small to Large scale investment Balance project budget up to 750K+ in cost Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 8 years of prior engineering experience or equivalent experience. Experience of Agile development Product lead Experience Qualifications We Prefer: Experience using program management tools such as Earned Value Management System (EVMS) or similar tools Ability to lead, along with peers, the development of long-range plans to capitalize on future opportunities Ability to overcome obstacles and negotiate change Demonstrated comprehensive planning skills with the ability to analyze technical and financial data and reports Exceptional judgment and decision-making A candidate who demonstrates initiative, quickly learns processes, and is capable of independently managing tasks and driving them to completion What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
06/08/2026
Full time
Date Posted: 2026-04-28 Country: United States of America Location: US-MA-TEWKSBURY-TB2 50 Apple Hill Dr SUDBURY BLDG, Tewksbury Tb2 200 Sudbury Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), system performance, System Security Engineering (SSE), integration and system level testing, identifying and resolving hardware, software, and networking issues, and developing automated or operator-driven tests in support of system-level integration, verification and validation. Within SE&TC, Life Cycle Engineering (LCE) is responsible for ensuring our products are Safe, Reliable, Maintainable and delivered on time. Life Cycle Engineering consists of multiple disciplines that support engineering, our program offices and our customers. Our Life Cycle Engineering disciplines participate in the total life cycle of our products from conception to deactivation. Our focus area is product support, including the following disciplines: Logistics, Technical Manuals, Training, Reliability, Maintainability, Supportability and Repair. What You Will Do : As a Sustainment Data Analyst, you'll be assigned to one or more LTAMDS or IRAD programs and will be responsible for providing innovative and trusted solutions that optimize the efficiency and effectiveness of the Land and Air Defense products and services over their life cycle. You'll accomplish this mission by leveraging existing and new capabilities being developed within sustainment and by working with the following entities: Systems, Software and Hardware design organizations Engineering Cross Product Teams (CPTs) LTAMDS Integrated Product Teams (IPTs) Chief Engineers, Program Directors and Program Managers National and International Customers Domestic and International Travel May Be Required This position will be based in Tewksbury, MA. What You Will Do: Responsibilities include the following: Manage highly agile teams (5-10 employees) Develop Long-Term Roadmaps for technology development Support of Open source and FOSS integration with D4 data pipeline Development capabilities in alignment with modern programming languages Support and manage projects ranging from Small to Large scale investment Balance project budget up to 750K+ in cost Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 8 years of prior engineering experience or equivalent experience. Experience of Agile development Product lead Experience Qualifications We Prefer: Experience using program management tools such as Earned Value Management System (EVMS) or similar tools Ability to lead, along with peers, the development of long-range plans to capitalize on future opportunities Ability to overcome obstacles and negotiate change Demonstrated comprehensive planning skills with the ability to analyze technical and financial data and reports Exceptional judgment and decision-making A candidate who demonstrates initiative, quickly learns processes, and is capable of independently managing tasks and driving them to completion What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Principal Associate, Capital Markets & Risk - Systems Analyst The Treasury Systems & Business Solutions team, a department within Treasury that falls under Capital Markets and Risk organization, consists of business process and system experts who are passionate about creating a simple, well-integrated and intelligent solution that enables superior decision making and best-in-class execution, operations, and risk management for the Treasury department. We are responsible for maintaining Treasury software applications that support both business users and data consumers, while influencing strategic technology decisions. Working back from business imperatives, and internal customer needs, we lead Agile teams to implement new products for Treasury, develop new capabilities, and deliver high quality data. We are looking for a Principal Analyst to work with the team and Agile pod in delivering cloud-based solutions for the overall business intent through close collaboration across internal partners. This role will be responsible for leading the necessary customer interviews and analysis to ground the problems to be solved, running impact analysis, and working with Agile teams to define, test and implement solutions. The Principal Analyst will also be responsible for delivering and ensuring the integrity of all data changed or produced as a result of any new intent delivery. General Responsibilities: Define solutions (requirements, designs, services, recommendations) to business/systems problems Liaison between tech and business SMEs to translate business requirements into highly specified project briefs Partner with consumers, business SMEs, and source system teams to analyze, internalize, and translate business requirements and source data to develop: data requirements for upstream source systems, source to target mapping, data quality requirements, processing requirements (business rules, aggregation, transformation), user acceptance test cases, negative test scenarios Prepare systems analysis documentation/specifications Identify roadblocks to projected timeline and present possible solutions Ensure solution integrity through user acceptance testing (UAT) and finalize disposition of solution for business as usual (BAU) acceptance Responsible for various support functions including assisting core system users, downstream systems issues and responding to internal/external audit requests Responsible for the development, maintenance, management, and delivery of technical information or documentation Own the design of configuration changes needed within Treasury's Cash Management system Quantum Manage inter-team and technology dependencies to mitigate project and product risks Support the Product Owner with prioritization, road map development, and test coordination Basic Qualifications: Bachelor's Degree or military experience At least 4 years of experience working in a business system analysis role At least 3 years of experience with Capital Markets, Treasury, Payments or Cash Management (such as Quantum or other Cash Management tools) or a combination Preferred Qualifications: MBA or Master's degree in Business, Computer Science, Information Systems, or Engineering 3+ years' experience designing and conducting unit testing 3+ years' experience with SQL, Python, or a combination 3+ years' experience of experience in Agile methodologies 1+ year of experience working with AWS At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $131,300 - $149,800 for Principal Analyst, Capital Mkts & Risk Richmond, VA: $119,400 - $136,200 for Principal Analyst, Capital Mkts & Risk Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
06/08/2026
Full time
Principal Associate, Capital Markets & Risk - Systems Analyst The Treasury Systems & Business Solutions team, a department within Treasury that falls under Capital Markets and Risk organization, consists of business process and system experts who are passionate about creating a simple, well-integrated and intelligent solution that enables superior decision making and best-in-class execution, operations, and risk management for the Treasury department. We are responsible for maintaining Treasury software applications that support both business users and data consumers, while influencing strategic technology decisions. Working back from business imperatives, and internal customer needs, we lead Agile teams to implement new products for Treasury, develop new capabilities, and deliver high quality data. We are looking for a Principal Analyst to work with the team and Agile pod in delivering cloud-based solutions for the overall business intent through close collaboration across internal partners. This role will be responsible for leading the necessary customer interviews and analysis to ground the problems to be solved, running impact analysis, and working with Agile teams to define, test and implement solutions. The Principal Analyst will also be responsible for delivering and ensuring the integrity of all data changed or produced as a result of any new intent delivery. General Responsibilities: Define solutions (requirements, designs, services, recommendations) to business/systems problems Liaison between tech and business SMEs to translate business requirements into highly specified project briefs Partner with consumers, business SMEs, and source system teams to analyze, internalize, and translate business requirements and source data to develop: data requirements for upstream source systems, source to target mapping, data quality requirements, processing requirements (business rules, aggregation, transformation), user acceptance test cases, negative test scenarios Prepare systems analysis documentation/specifications Identify roadblocks to projected timeline and present possible solutions Ensure solution integrity through user acceptance testing (UAT) and finalize disposition of solution for business as usual (BAU) acceptance Responsible for various support functions including assisting core system users, downstream systems issues and responding to internal/external audit requests Responsible for the development, maintenance, management, and delivery of technical information or documentation Own the design of configuration changes needed within Treasury's Cash Management system Quantum Manage inter-team and technology dependencies to mitigate project and product risks Support the Product Owner with prioritization, road map development, and test coordination Basic Qualifications: Bachelor's Degree or military experience At least 4 years of experience working in a business system analysis role At least 3 years of experience with Capital Markets, Treasury, Payments or Cash Management (such as Quantum or other Cash Management tools) or a combination Preferred Qualifications: MBA or Master's degree in Business, Computer Science, Information Systems, or Engineering 3+ years' experience designing and conducting unit testing 3+ years' experience with SQL, Python, or a combination 3+ years' experience of experience in Agile methodologies 1+ year of experience working with AWS At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $131,300 - $149,800 for Principal Analyst, Capital Mkts & Risk Richmond, VA: $119,400 - $136,200 for Principal Analyst, Capital Mkts & Risk Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job DescriptionJob Description We are seeking an experienced Dynamics 365 & Power Apps Developer with a minimum of 5 years of hands-on experience designing, developing, and customizing solutions within the Model Driven Apps in Microsoft Power Platform and Dynamics CRM. The ideal candidate will be adept at building scalable business applications, integrating with other systems, and optimizing workflows to meet business needs. Key Responsibilities Design, develop, and implement custom business applications using Dynamics 365 and Power Apps (Canvas and Model-Driven Apps). Customize and configure Dynamics 365 CRM to align with business processes. Develop and manage Power Automate flows for process automation. Integrate Dynamics 365 with third-party applications and internal systems using APIs, web services, and Azure integrations. Create and maintain plugins, custom workflows, and JavaScript customizations. Collaborate with business analysts and stakeholders to gather requirements and translate them into technical solutions. Ensure solutions are secure, optimized for performance, and compliant with best practices. Provide ongoing support, troubleshooting, and enhancements for deployed solutions. Stay current with Microsoft Power Platform updates and features. Required Qualifications 5+ years of experience in Dynamics 365 development and customization. Strong expertise in Microsoft Power Apps (Canvas & Model-Driven Apps) and Power Automate. Proficiency in JavaScript, C#, and Power Fx. Solid experience with Dataverse and data modeling. Experience integrating with APIs and web services. Familiarity with Azure services (Logic Apps, Functions, Service Bus). Strong understanding of solution management, ALM (Application Lifecycle Management), and environment strategies. Excellent problem-solving skills and the ability to work independently or in a team environment. Preferred Qualifications Microsoft Certified: Power Platform Developer Associate or equivalent. Background in Agile/Scrum development practices. Knowledge of Power BI and data visualization Trillion is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local law.
06/08/2026
Full time
Job DescriptionJob Description We are seeking an experienced Dynamics 365 & Power Apps Developer with a minimum of 5 years of hands-on experience designing, developing, and customizing solutions within the Model Driven Apps in Microsoft Power Platform and Dynamics CRM. The ideal candidate will be adept at building scalable business applications, integrating with other systems, and optimizing workflows to meet business needs. Key Responsibilities Design, develop, and implement custom business applications using Dynamics 365 and Power Apps (Canvas and Model-Driven Apps). Customize and configure Dynamics 365 CRM to align with business processes. Develop and manage Power Automate flows for process automation. Integrate Dynamics 365 with third-party applications and internal systems using APIs, web services, and Azure integrations. Create and maintain plugins, custom workflows, and JavaScript customizations. Collaborate with business analysts and stakeholders to gather requirements and translate them into technical solutions. Ensure solutions are secure, optimized for performance, and compliant with best practices. Provide ongoing support, troubleshooting, and enhancements for deployed solutions. Stay current with Microsoft Power Platform updates and features. Required Qualifications 5+ years of experience in Dynamics 365 development and customization. Strong expertise in Microsoft Power Apps (Canvas & Model-Driven Apps) and Power Automate. Proficiency in JavaScript, C#, and Power Fx. Solid experience with Dataverse and data modeling. Experience integrating with APIs and web services. Familiarity with Azure services (Logic Apps, Functions, Service Bus). Strong understanding of solution management, ALM (Application Lifecycle Management), and environment strategies. Excellent problem-solving skills and the ability to work independently or in a team environment. Preferred Qualifications Microsoft Certified: Power Platform Developer Associate or equivalent. Background in Agile/Scrum development practices. Knowledge of Power BI and data visualization Trillion is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local law.
Job DescriptionJob Description We are seeking an experienced Dynamics 365 & Power Apps Developer with a minimum of 5 years of hands-on experience designing, developing, and customizing solutions within the Model Driven Apps in Microsoft Power Platform and Dynamics CRM. The ideal candidate will be adept at building scalable business applications, integrating with other systems, and optimizing workflows to meet business needs. Key Responsibilities Design, develop, and implement custom business applications using Dynamics 365 and Power Apps (Canvas and Model-Driven Apps). Customize and configure Dynamics 365 CRM to align with business processes. Develop and manage Power Automate flows for process automation. Integrate Dynamics 365 with third-party applications and internal systems using APIs, web services, and Azure integrations. Create and maintain plugins, custom workflows, and JavaScript customizations. Collaborate with business analysts and stakeholders to gather requirements and translate them into technical solutions. Ensure solutions are secure, optimized for performance, and compliant with best practices. Provide ongoing support, troubleshooting, and enhancements for deployed solutions. Stay current with Microsoft Power Platform updates and features. Required Qualifications 5+ years of experience in Dynamics 365 development and customization. Strong expertise in Microsoft Power Apps (Canvas & Model-Driven Apps) and Power Automate. Proficiency in JavaScript, C#, and Power Fx. Solid experience with Dataverse and data modeling. Experience integrating with APIs and web services. Familiarity with Azure services (Logic Apps, Functions, Service Bus). Strong understanding of solution management, ALM (Application Lifecycle Management), and environment strategies. Excellent problem-solving skills and the ability to work independently or in a team environment. Preferred Qualifications Microsoft Certified: Power Platform Developer Associate or equivalent. Background in Agile/Scrum development practices. Knowledge of Power BI and data visualization Trillion is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local law.
06/08/2026
Full time
Job DescriptionJob Description We are seeking an experienced Dynamics 365 & Power Apps Developer with a minimum of 5 years of hands-on experience designing, developing, and customizing solutions within the Model Driven Apps in Microsoft Power Platform and Dynamics CRM. The ideal candidate will be adept at building scalable business applications, integrating with other systems, and optimizing workflows to meet business needs. Key Responsibilities Design, develop, and implement custom business applications using Dynamics 365 and Power Apps (Canvas and Model-Driven Apps). Customize and configure Dynamics 365 CRM to align with business processes. Develop and manage Power Automate flows for process automation. Integrate Dynamics 365 with third-party applications and internal systems using APIs, web services, and Azure integrations. Create and maintain plugins, custom workflows, and JavaScript customizations. Collaborate with business analysts and stakeholders to gather requirements and translate them into technical solutions. Ensure solutions are secure, optimized for performance, and compliant with best practices. Provide ongoing support, troubleshooting, and enhancements for deployed solutions. Stay current with Microsoft Power Platform updates and features. Required Qualifications 5+ years of experience in Dynamics 365 development and customization. Strong expertise in Microsoft Power Apps (Canvas & Model-Driven Apps) and Power Automate. Proficiency in JavaScript, C#, and Power Fx. Solid experience with Dataverse and data modeling. Experience integrating with APIs and web services. Familiarity with Azure services (Logic Apps, Functions, Service Bus). Strong understanding of solution management, ALM (Application Lifecycle Management), and environment strategies. Excellent problem-solving skills and the ability to work independently or in a team environment. Preferred Qualifications Microsoft Certified: Power Platform Developer Associate or equivalent. Background in Agile/Scrum development practices. Knowledge of Power BI and data visualization Trillion is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local law.
Job DescriptionJob Description CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers' bespoke mission requirements, are enabling this future every day. The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community. We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative customer-centric technologies and solutions that support the Office of Personnel Management's (OPM) Health and Insurance business unit and Office of the Chief Information Officer (OCIO). Duties and Responsibilities: Data Pipeline & ETL Development: Design, develop, and maintain scalable ETL pipelines and data workflows to ingest, transform, and integrate data from legacy systems and external sources into modern cloud-based data platforms. Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases. Data Migration Support: Support phased data migration from legacy databases and ETL tools to Azure Databricks environments, including transformation documentation and data mapping. Lakehouse & Data Layer Design: Implement layered lakehouse data architectures (e.g., bronze, silver, gold layers) in Databricks to support data quality, performance, and downstream reporting needs. Python & PySpark Development: Develop data processing notebooks, workflows, and distributed data transformations using Python and PySpark within Databricks environments. Data Quality & Validation: Develop data validation, reconciliation, and testing processes to ensure data accuracy, completeness, and consistency across data domains. Data Integration & Interoperability: Integrate Databricks data platforms with analytics and reporting tools to enable business intelligence and operational dashboards. Data Governance & Security Implementation: Support data governance initiatives including metadata management, data catalog integration, encryption, access controls, and compliance with federal data protection requirements. DevOps & CI/CD Support: Maintain source control and CI/CD pipelines for Databricks and data engineering workflows, supporting automated promotion across environments. Technical Collaboration: Work closely with data architects, solution architects, business analysts, and reporting teams to implement approved data solutions. Operational Support & Troubleshooting: Provide ongoing support for Databricks workflows, resolve pipeline failures, and troubleshoot complex data processing issues. Mentorship & Knowledge Sharing: Provide guidance to junior data engineers and contribute to documentation and team enablement. Works under minimal supervision with minor guidance from senior personnel. Skills & Work Experience: Professional Experience: 7+ years of experience in data engineering, ETL development, or large-scale data integration environments. Strong experience designing and developing ETL pipelines and data transformations in Azure Databricks environments. Strong proficiency in SQL and Python, with hands-on experience using PySpark for distributed data processing. Experience working with cloud-based data platforms, data lakes, and lakehouse environments, preferably on Microsoft Azure. Experience implementing layered lakehouse data architectures (bronze, silver, gold) for enterprise analytics. Familiarity with Spark-based big data processing frameworks. Experience supporting data migration from legacy databases and ETL tools to Databricks-based platforms. Experience integrating Databricks platforms with business intelligence and reporting tools such as Power BI. Familiarity with data governance, metadata management, and data security best practices. Experience with source control and CI/CD pipelines for data engineering and Databricks workflows. Working knowledge of SDLC and Agile delivery methodologies. Excellent organizational, communication, and collaboration skills. Preferred: Hands-on experience with Azure Databricks workflows, Delta tables, and Databricks job orchestration. Experience with Azure Data Lake, Azure Data Factory, or similar Azure data services. Experience supporting federal IT modernization or large-scale enterprise data transformation initiatives. Familiarity with healthcare, insurance, or benefits administration data environments. Experience implementing data governance or data catalog platforms. Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline. Equivalent education or professional experience will be considered in lieu of a degree. Clearance: Must be a U.S. citizen and be able to obtain a Public Trust clearance. If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including: Paid vacation & Sick leave Health insurance coverage Career training Performance bonus programs 401K contribution & Employer Match 11 Federal Holidays
06/08/2026
Full time
Job DescriptionJob Description CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers' bespoke mission requirements, are enabling this future every day. The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community. We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative customer-centric technologies and solutions that support the Office of Personnel Management's (OPM) Health and Insurance business unit and Office of the Chief Information Officer (OCIO). Duties and Responsibilities: Data Pipeline & ETL Development: Design, develop, and maintain scalable ETL pipelines and data workflows to ingest, transform, and integrate data from legacy systems and external sources into modern cloud-based data platforms. Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases. Data Migration Support: Support phased data migration from legacy databases and ETL tools to Azure Databricks environments, including transformation documentation and data mapping. Lakehouse & Data Layer Design: Implement layered lakehouse data architectures (e.g., bronze, silver, gold layers) in Databricks to support data quality, performance, and downstream reporting needs. Python & PySpark Development: Develop data processing notebooks, workflows, and distributed data transformations using Python and PySpark within Databricks environments. Data Quality & Validation: Develop data validation, reconciliation, and testing processes to ensure data accuracy, completeness, and consistency across data domains. Data Integration & Interoperability: Integrate Databricks data platforms with analytics and reporting tools to enable business intelligence and operational dashboards. Data Governance & Security Implementation: Support data governance initiatives including metadata management, data catalog integration, encryption, access controls, and compliance with federal data protection requirements. DevOps & CI/CD Support: Maintain source control and CI/CD pipelines for Databricks and data engineering workflows, supporting automated promotion across environments. Technical Collaboration: Work closely with data architects, solution architects, business analysts, and reporting teams to implement approved data solutions. Operational Support & Troubleshooting: Provide ongoing support for Databricks workflows, resolve pipeline failures, and troubleshoot complex data processing issues. Mentorship & Knowledge Sharing: Provide guidance to junior data engineers and contribute to documentation and team enablement. Works under minimal supervision with minor guidance from senior personnel. Skills & Work Experience: Professional Experience: 7+ years of experience in data engineering, ETL development, or large-scale data integration environments. Strong experience designing and developing ETL pipelines and data transformations in Azure Databricks environments. Strong proficiency in SQL and Python, with hands-on experience using PySpark for distributed data processing. Experience working with cloud-based data platforms, data lakes, and lakehouse environments, preferably on Microsoft Azure. Experience implementing layered lakehouse data architectures (bronze, silver, gold) for enterprise analytics. Familiarity with Spark-based big data processing frameworks. Experience supporting data migration from legacy databases and ETL tools to Databricks-based platforms. Experience integrating Databricks platforms with business intelligence and reporting tools such as Power BI. Familiarity with data governance, metadata management, and data security best practices. Experience with source control and CI/CD pipelines for data engineering and Databricks workflows. Working knowledge of SDLC and Agile delivery methodologies. Excellent organizational, communication, and collaboration skills. Preferred: Hands-on experience with Azure Databricks workflows, Delta tables, and Databricks job orchestration. Experience with Azure Data Lake, Azure Data Factory, or similar Azure data services. Experience supporting federal IT modernization or large-scale enterprise data transformation initiatives. Familiarity with healthcare, insurance, or benefits administration data environments. Experience implementing data governance or data catalog platforms. Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline. Equivalent education or professional experience will be considered in lieu of a degree. Clearance: Must be a U.S. citizen and be able to obtain a Public Trust clearance. If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including: Paid vacation & Sick leave Health insurance coverage Career training Performance bonus programs 401K contribution & Employer Match 11 Federal Holidays
Job DescriptionJob Description Position Title: Power BI Data Engineer Reports To: Data Analytics Director Location: Hybrid About Us Paradigm Max Q is redefining defense industry support. Founded in 2023, we combine elite talent with advanced analytics to deliver actionable solutions that improve readiness and reduce costs for the government and warfighter. With rapid growth and operations in 16 U.S. locations, we're driven by performance, innovation, and impact. Our mission: to deliver measurable results that strengthen national defense and empower those who serve. Join us as we shape the future of defense support. Position Summary The Data Engineer - Power BI is responsible for designing, building, and maintaining scalable data pipelines and data models that support business intelligence and analytics initiatives. This role partners closely with business stakeholders, analysts, and Power BI developers to deliver high-quality, trusted datasets and optimized reporting solutions. The ideal candidate combines strong data engineering expertise with deep knowledge of Power BI architecture, ensuring robust, performant, and secure data solutions. Key Responsibilities Data Engineering & Pipeline Development Design, build, and maintain ETL/ELT pipelines to ingest, clean, and transform data from various sources (SQL Server, cloud platforms, APIs, flat files, etc.). Develop and manage data integration workflows using tools such as Azure Data Factory, SSIS, or similar. Ensure data quality, integrity, and reliability across all pipelines. Enforce data governance standards, including data lineage, cataloging, and documentation. Data Modeling & Power BI Enablement Design and implement optimized data models (star schema, snowflake) tailored for Power BI reporting. Create reusable semantic models and datasets for enterprise reporting. Optimize Power BI datasets for performance, scalability, and usability. Work closely with Power BI developers to align models with reporting requirements. Cloud & Platform Management Develop and maintain data solutions in cloud environments (e.g., Azure Synapse, Azure SQL, Data Lake). Implement best practices for data storage, processing, and orchestration. Support deployment and lifecycle management (CI/CD) for data pipelines and Power BI artifacts. Collaboration & Stakeholder Engagement Collaborate closely with stakeholders to define modeling requirements and deliver value-driven solutions. Communicate technical concepts clearly to non-technical audiences, influencing strategic and tactical decisions. Translate business needs into scalable technical solutions. Qualifications Bachelor's degree in computer science, Information Systems, Data Engineering, or related field. 3+ years of experience in data engineering or BI development Proven experience developing solutions with Microsoft Power BI Strong knowledge of DAX, Power Query, and data modeling in Microsoft Environment Active Secret Clearence Preferred Characteristics SQL skills (query optimization, stored procedures, data modeling) Experience with Microsoft Power Platform (Dataverse, Power Apps, Power Automate, etc.)_ Experience with cloud data platforms (Azure, AWS, or equivalent) Experience supporting executive-level reporting and decision support Microsoft certifications Microsoft Certified: Power BI Data Analyst Associate (PL 300) Microsoft Certified: Azure Data Engineer Associate (DP 203) Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Fundamentals (DP 900) Benefits Statement: Paradigm Max Q provides eligible employees with a comprehensive benefits package that includes medical, dental, and vision insurance; life insurance; short term and long term disability coverage; a 401(k) retirement plan; paid time off (PTO) for vacation; and company paid holidays. The benefits package also includes reimbursement for a Planet Fitness Black Card membership. EEO Statement: We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other characteristics protected by applicable law.
06/08/2026
Full time
Job DescriptionJob Description Position Title: Power BI Data Engineer Reports To: Data Analytics Director Location: Hybrid About Us Paradigm Max Q is redefining defense industry support. Founded in 2023, we combine elite talent with advanced analytics to deliver actionable solutions that improve readiness and reduce costs for the government and warfighter. With rapid growth and operations in 16 U.S. locations, we're driven by performance, innovation, and impact. Our mission: to deliver measurable results that strengthen national defense and empower those who serve. Join us as we shape the future of defense support. Position Summary The Data Engineer - Power BI is responsible for designing, building, and maintaining scalable data pipelines and data models that support business intelligence and analytics initiatives. This role partners closely with business stakeholders, analysts, and Power BI developers to deliver high-quality, trusted datasets and optimized reporting solutions. The ideal candidate combines strong data engineering expertise with deep knowledge of Power BI architecture, ensuring robust, performant, and secure data solutions. Key Responsibilities Data Engineering & Pipeline Development Design, build, and maintain ETL/ELT pipelines to ingest, clean, and transform data from various sources (SQL Server, cloud platforms, APIs, flat files, etc.). Develop and manage data integration workflows using tools such as Azure Data Factory, SSIS, or similar. Ensure data quality, integrity, and reliability across all pipelines. Enforce data governance standards, including data lineage, cataloging, and documentation. Data Modeling & Power BI Enablement Design and implement optimized data models (star schema, snowflake) tailored for Power BI reporting. Create reusable semantic models and datasets for enterprise reporting. Optimize Power BI datasets for performance, scalability, and usability. Work closely with Power BI developers to align models with reporting requirements. Cloud & Platform Management Develop and maintain data solutions in cloud environments (e.g., Azure Synapse, Azure SQL, Data Lake). Implement best practices for data storage, processing, and orchestration. Support deployment and lifecycle management (CI/CD) for data pipelines and Power BI artifacts. Collaboration & Stakeholder Engagement Collaborate closely with stakeholders to define modeling requirements and deliver value-driven solutions. Communicate technical concepts clearly to non-technical audiences, influencing strategic and tactical decisions. Translate business needs into scalable technical solutions. Qualifications Bachelor's degree in computer science, Information Systems, Data Engineering, or related field. 3+ years of experience in data engineering or BI development Proven experience developing solutions with Microsoft Power BI Strong knowledge of DAX, Power Query, and data modeling in Microsoft Environment Active Secret Clearence Preferred Characteristics SQL skills (query optimization, stored procedures, data modeling) Experience with Microsoft Power Platform (Dataverse, Power Apps, Power Automate, etc.)_ Experience with cloud data platforms (Azure, AWS, or equivalent) Experience supporting executive-level reporting and decision support Microsoft certifications Microsoft Certified: Power BI Data Analyst Associate (PL 300) Microsoft Certified: Azure Data Engineer Associate (DP 203) Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Fundamentals (DP 900) Benefits Statement: Paradigm Max Q provides eligible employees with a comprehensive benefits package that includes medical, dental, and vision insurance; life insurance; short term and long term disability coverage; a 401(k) retirement plan; paid time off (PTO) for vacation; and company paid holidays. The benefits package also includes reimbursement for a Planet Fitness Black Card membership. EEO Statement: We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other characteristics protected by applicable law.
Job DescriptionJob Description The Sponsor requires Data Engineering support to evaluate, optimize, and implement robust data infrastructure that enables reliable, accessible, and scalable data delivery across the organization. The Contractor will work collaboratively with data consumers, technical teams, leadership, and stakeholders to assess current data pipelines, identify gaps in data accessibility and reliability, and architect solutions that establish trusted data foundations. Work involves applying engineering best practices to implement proper data modeling and integration patterns, ensuring data quality and observability throughout pipelines, and creating maintainable infrastructure that supports analytics, reporting, and operational use cases. The Sponsor's data landscape includes enterprise operational systems such as ServiceNow, network management platforms (NetIM), and network modeling tools (Forward Networks). The Data Engineering support must be adept at extracting data from these systems via APIs (Application Programming Interface), exports, and vendor-specific interfaces, often with limited documentation or non-standard data structures, and transforming this operational data into accessible, integrated datasets. WORK REQUIREMENTS: • The Contractor shall conduct comprehensive assessments of existing data pipelines, infrastructure, and data flows including integrations with operational systems like ServiceNow, network management platforms, and business applications to identify technical debt, bottlenecks, and reliability issues. • The Contractor shall evaluate current data architecture against industry best practices and organizational needs; develop technical recommendations and roadmaps for data infrastructure improvements. • The Contractor shall design, build, and maintain production-grade data pipelines using orchestration tools such as Airflow or Prefect. • The Contractor shall develop robust ETL (Extract-Transform-Load) / ELT (Extract-Load-Transform) processes from diverse sources: SaaS platforms, network management systems, databases, APIs, files, and streams. • The Contractor shall build API integrations handling authentication (OAuth, API keys, and Single Sign-On (SSO , rate limiting, pagination, retry logic, and error handling. • The Contractor shall extract data from systems not designed for export; reverse-engineer undocumented data structures and relationships. • The Contractor shall handle semi-structured data (JSON and XML); and transform into structured datasets with consistent schemas. • The Contractor shall design dimensional models, data warehouses, and data marts following industry methodologies. • The Contractor shall create conceptual, logical, and physical data models optimized for query performance and storage efficiency. • The Contractor shall implement slowly changing dimensions and other data warehousing patterns. • The Contractor shall establish naming conventions, data standards, and modeling best practices. • The Contractor shall implement comprehensive data quality checks, validation rules, and automated monitoring with alerting. • The Contractor shall build error handling, failure recovery, logging, and observability into all processes. • The Contractor shall optimize pipelines for performance, cost, and resource utilization. • The Contractor shall develop reusable components and frameworks; refactor legacy pipelines for reliability. • The Contractor shall build and maintain data infrastructure on cloud platforms (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP using infrastructure-as-code using Terraform and CloudFormation. • The Contractor shall implement CI/CD pipelines, version control (Git), and automated testing frameworks. • The Contractor shall manage database performance tuning, indexing, partitioning, and capacity planning. • The Contractor shall establish backup, recovery, security controls, access controls, and compliance measures. • The Contractor shall partner with analysts, software developers, and business stakeholders to translate requirements into technical solutions. • The Contractor shall create comprehensive documentation for systems, processes, and integrations. • The Contractor shall provide technical guidance on data availability and proper usage; enable self-service access. • The Contractor shall troubleshoot pipeline failures, performance issues, and data discrepancies; perform root cause analysis. TRAVEL: Travel is anticipated for this contract: YES Travel is anticipated for this contractor upon Sponsor approval for the following categories: Local travel/POV will be on an as needed basis, within the local place of performance. Required Skills: 1. Demonstrated experience building and managing data pipelines. Demonstrated experience with python. 2. Demonstrated experience with cloud computing using AWS services. Demonstrated experience processing data using Apache Spark. 3. Demonstrated experience with an RDBMS (Relational Database Management System) (Postgres, Oracle, MySQL) and writing SQL queries. 4. Demonstrated experience with Linux and shell scripting. 5. Demonstrated experience analyzing data in different file formats like csv, xml, json, avro, parquet, etc. 6. Demonstrated experience writing and validating unit tests. Desired Skills: 1. Demonstrated experience in NiFi, Apache AirFlow, or an equivalent solution or tool for orchestrating data pipelines. 2. Demonstrated experience with java or scala. 3. Demonstrated experience administering an EMR/Spark cluster. 4. Demonstrated experience conducting performance tuning of a spark job. 5. Demonstrated experience supporting Hive, Iceberg, or another technology providing SQL access to data. 6. Demonstrated experience developing cloud-based security solutions. 7. Demonstrated experience following a configuration management process to review and deploy code as part of releases. Requirements Active TS/SCI w/ FS poly required prior to application Required Skills: 1. Demonstrated experience building and managing data pipelines. Demonstrated experience with python. 2. Demonstrated experience with cloud computing using AWS services. Demonstrated experience processing data using Apache Spark. 3. Demonstrated experience with an RDBMS (Relational Database Management System) (Postgres, Oracle, MySQL) and writing SQL queries. 4. Demonstrated experience with Linux and shell scripting. 5. Demonstrated experience analyzing data in different file formats like csv, xml, json, avro, parquet, etc. 6. Demonstrated experience writing and validating unit tests. Desired Skills: 1. Demonstrated experience in NiFi, Apache AirFlow, or an equivalent solution or tool for orchestrating data pipelines. 2. Demonstrated experience with java or scala. 3. Demonstrated experience administering an EMR/Spark cluster. 4. Demonstrated experience conducting performance tuning of a spark job. 5. Demonstrated experience supporting Hive, Iceberg, or another technology providing SQL access to data. 6. Demonstrated experience developing cloud-based security solutions. 7. Demonstrated experience following a configuration management process to review and deploy code as part of releases. Benefits Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!
06/08/2026
Full time
Job DescriptionJob Description The Sponsor requires Data Engineering support to evaluate, optimize, and implement robust data infrastructure that enables reliable, accessible, and scalable data delivery across the organization. The Contractor will work collaboratively with data consumers, technical teams, leadership, and stakeholders to assess current data pipelines, identify gaps in data accessibility and reliability, and architect solutions that establish trusted data foundations. Work involves applying engineering best practices to implement proper data modeling and integration patterns, ensuring data quality and observability throughout pipelines, and creating maintainable infrastructure that supports analytics, reporting, and operational use cases. The Sponsor's data landscape includes enterprise operational systems such as ServiceNow, network management platforms (NetIM), and network modeling tools (Forward Networks). The Data Engineering support must be adept at extracting data from these systems via APIs (Application Programming Interface), exports, and vendor-specific interfaces, often with limited documentation or non-standard data structures, and transforming this operational data into accessible, integrated datasets. WORK REQUIREMENTS: • The Contractor shall conduct comprehensive assessments of existing data pipelines, infrastructure, and data flows including integrations with operational systems like ServiceNow, network management platforms, and business applications to identify technical debt, bottlenecks, and reliability issues. • The Contractor shall evaluate current data architecture against industry best practices and organizational needs; develop technical recommendations and roadmaps for data infrastructure improvements. • The Contractor shall design, build, and maintain production-grade data pipelines using orchestration tools such as Airflow or Prefect. • The Contractor shall develop robust ETL (Extract-Transform-Load) / ELT (Extract-Load-Transform) processes from diverse sources: SaaS platforms, network management systems, databases, APIs, files, and streams. • The Contractor shall build API integrations handling authentication (OAuth, API keys, and Single Sign-On (SSO , rate limiting, pagination, retry logic, and error handling. • The Contractor shall extract data from systems not designed for export; reverse-engineer undocumented data structures and relationships. • The Contractor shall handle semi-structured data (JSON and XML); and transform into structured datasets with consistent schemas. • The Contractor shall design dimensional models, data warehouses, and data marts following industry methodologies. • The Contractor shall create conceptual, logical, and physical data models optimized for query performance and storage efficiency. • The Contractor shall implement slowly changing dimensions and other data warehousing patterns. • The Contractor shall establish naming conventions, data standards, and modeling best practices. • The Contractor shall implement comprehensive data quality checks, validation rules, and automated monitoring with alerting. • The Contractor shall build error handling, failure recovery, logging, and observability into all processes. • The Contractor shall optimize pipelines for performance, cost, and resource utilization. • The Contractor shall develop reusable components and frameworks; refactor legacy pipelines for reliability. • The Contractor shall build and maintain data infrastructure on cloud platforms (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP using infrastructure-as-code using Terraform and CloudFormation. • The Contractor shall implement CI/CD pipelines, version control (Git), and automated testing frameworks. • The Contractor shall manage database performance tuning, indexing, partitioning, and capacity planning. • The Contractor shall establish backup, recovery, security controls, access controls, and compliance measures. • The Contractor shall partner with analysts, software developers, and business stakeholders to translate requirements into technical solutions. • The Contractor shall create comprehensive documentation for systems, processes, and integrations. • The Contractor shall provide technical guidance on data availability and proper usage; enable self-service access. • The Contractor shall troubleshoot pipeline failures, performance issues, and data discrepancies; perform root cause analysis. TRAVEL: Travel is anticipated for this contract: YES Travel is anticipated for this contractor upon Sponsor approval for the following categories: Local travel/POV will be on an as needed basis, within the local place of performance. Required Skills: 1. Demonstrated experience building and managing data pipelines. Demonstrated experience with python. 2. Demonstrated experience with cloud computing using AWS services. Demonstrated experience processing data using Apache Spark. 3. Demonstrated experience with an RDBMS (Relational Database Management System) (Postgres, Oracle, MySQL) and writing SQL queries. 4. Demonstrated experience with Linux and shell scripting. 5. Demonstrated experience analyzing data in different file formats like csv, xml, json, avro, parquet, etc. 6. Demonstrated experience writing and validating unit tests. Desired Skills: 1. Demonstrated experience in NiFi, Apache AirFlow, or an equivalent solution or tool for orchestrating data pipelines. 2. Demonstrated experience with java or scala. 3. Demonstrated experience administering an EMR/Spark cluster. 4. Demonstrated experience conducting performance tuning of a spark job. 5. Demonstrated experience supporting Hive, Iceberg, or another technology providing SQL access to data. 6. Demonstrated experience developing cloud-based security solutions. 7. Demonstrated experience following a configuration management process to review and deploy code as part of releases. Requirements Active TS/SCI w/ FS poly required prior to application Required Skills: 1. Demonstrated experience building and managing data pipelines. Demonstrated experience with python. 2. Demonstrated experience with cloud computing using AWS services. Demonstrated experience processing data using Apache Spark. 3. Demonstrated experience with an RDBMS (Relational Database Management System) (Postgres, Oracle, MySQL) and writing SQL queries. 4. Demonstrated experience with Linux and shell scripting. 5. Demonstrated experience analyzing data in different file formats like csv, xml, json, avro, parquet, etc. 6. Demonstrated experience writing and validating unit tests. Desired Skills: 1. Demonstrated experience in NiFi, Apache AirFlow, or an equivalent solution or tool for orchestrating data pipelines. 2. Demonstrated experience with java or scala. 3. Demonstrated experience administering an EMR/Spark cluster. 4. Demonstrated experience conducting performance tuning of a spark job. 5. Demonstrated experience supporting Hive, Iceberg, or another technology providing SQL access to data. 6. Demonstrated experience developing cloud-based security solutions. 7. Demonstrated experience following a configuration management process to review and deploy code as part of releases. Benefits Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!
Job DescriptionJob Description Candidates must be local to the Washington D.C. metro area. About Infinitive: Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named "Best Small Firms to Work For" by Consulting Magazine 8 times most recently in 2025. Infinitive has also been named a Washington Post "Top Workplace", Washington Business Journal "Best Places to Work", and Virginia Business "Best Places to Work." About the Role: We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault). As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency. Responsibilities: Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies. DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure. Data Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainability. Performance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performance. Data Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency. Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions. Documentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processes. Training and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the team. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred. Proven experience as a Data Engineer, preferably in a cloud-based environment. Strong proficiency in Databricks for data processing and analytics. Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation. In-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data Vault. Proficiency in SQL and programming languages such as Python or Scala. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Powered by JazzHR tSyB06zCqs
06/08/2026
Full time
Job DescriptionJob Description Candidates must be local to the Washington D.C. metro area. About Infinitive: Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named "Best Small Firms to Work For" by Consulting Magazine 8 times most recently in 2025. Infinitive has also been named a Washington Post "Top Workplace", Washington Business Journal "Best Places to Work", and Virginia Business "Best Places to Work." About the Role: We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault). As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency. Responsibilities: Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies. DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure. Data Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainability. Performance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performance. Data Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency. Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions. Documentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processes. Training and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the team. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred. Proven experience as a Data Engineer, preferably in a cloud-based environment. Strong proficiency in Databricks for data processing and analytics. Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation. In-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data Vault. Proficiency in SQL and programming languages such as Python or Scala. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Powered by JazzHR tSyB06zCqs
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
Creative Information Technology, Inc.
Falls Church, Virginia
Job DescriptionJob Description Data Engineer - Baltimore City, MD About us Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II. Join us in driving growth and seizing new business opportunities. Background Client is seeking a hands-on Data Engineer to design, develop, and optimize large-scale data pipelines in support of our Enterprise Data Warehouse (EDW) and Data Lake solutions. This role requires deep technical expertise in coding, pipeline orchestration, and cloud-native data engineering on AWS. The Data Engineer will be directly responsible for implementing ingestion, transformation, and integration workflows - ensuring data is high-quality, compliant, and analytics-ready. This role may support other projects or teams within MDH as needed. Role and Responsibilities Responsible for designing, building, and maintaining data pipelines and infrastructure to support data-driven decisions and analytics. The individual is responsible for the following tasks: Design, develop and maintain data pipelines, and extract, transform, load (ETL) processes to collect, process and store structured and unstructured data Build data architecture and storage solutions, including data lakehouses, data lakes, data warehouse, and data marts to support analytics and reporting Develop data reliability, efficiency, and qualify checks and processes Prepare data for data modeling Monitor and optimize data architecture and data processing systems Collaboration with multiple teams to understand requirements and objectives Administer testing and troubleshooting related to performance, reliability, and scalability H. Create and update documentation Hands-On Data Pipeline Development Design, code, and deploy ETL/ELT pipelines across bronze, silver, and gold layers of the Data Lakehouse. Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR. Implement incremental loads, deduplication, error handling, and data validation. Actively troubleshoot, debug, and optimize pipelines for scalability and cost efficiency. EDW & Data Lake Implementation Develop dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting. Build and maintain tables in Iceberg, Delta Lake, or equivalent OTF formats. Optimize partitioning, indexing, and metadata for fast query performance. Healthcare Data Integration Build ingestion and transformation pipelines for EDI X12 transactions (837, 835, 278, etc.). Implement mapping and transformation of EDI data with FHIR and HL7 frameworks. Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data. Data Quality, Security & Compliance Develop automated validation scripts to enforce data quality and integrity. Implement IAM roles, encryption, and auditing to meet HIPAA and CMS compliance standards. Maintain lineage and governance documentation for all pipelines. Collaboration & Delivery Work closely with the Lead Data Engineer, analysts, and data scientists to deliver pipelines that support enterprise-wide analytics. Actively contribute to CI/CD pipelines, Infrastructure-as-Code (IaC), and automation. Continuously improve pipelines and adopt new technologies where appropriate. Minimum Qualifications The candidate should have experience as data engineer or similar role with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable of distributed computing and parallel processing. This position requires a bachelor's or master's degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or a related field. Three (3) years of equivalent experience in a related field may be substituted for the Bachelor's degree. 3+ years hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms. Strong coding skills in Python and SQL (Scala or Java a plus). Proven experience with Apache Spark (PySpark) for large-scale processing. Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation. Strong debugging and performance optimization skills in distributed systems. Hands-on experience with Iceberg, Delta Lake, or other OTF table formats. Experience with Airflow or other pipeline orchestration frameworks. Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation). Practical experience with EDI X12, HL7, or FHIR data formats. Strong understanding of Medallion Architecture for data lake houses. Hands-on experience building dimensional models and data warehouses. Working knowledge of HIPAA and CMS interoperability requirements.
06/08/2026
Full time
Job DescriptionJob Description Data Engineer - Baltimore City, MD About us Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II. Join us in driving growth and seizing new business opportunities. Background Client is seeking a hands-on Data Engineer to design, develop, and optimize large-scale data pipelines in support of our Enterprise Data Warehouse (EDW) and Data Lake solutions. This role requires deep technical expertise in coding, pipeline orchestration, and cloud-native data engineering on AWS. The Data Engineer will be directly responsible for implementing ingestion, transformation, and integration workflows - ensuring data is high-quality, compliant, and analytics-ready. This role may support other projects or teams within MDH as needed. Role and Responsibilities Responsible for designing, building, and maintaining data pipelines and infrastructure to support data-driven decisions and analytics. The individual is responsible for the following tasks: Design, develop and maintain data pipelines, and extract, transform, load (ETL) processes to collect, process and store structured and unstructured data Build data architecture and storage solutions, including data lakehouses, data lakes, data warehouse, and data marts to support analytics and reporting Develop data reliability, efficiency, and qualify checks and processes Prepare data for data modeling Monitor and optimize data architecture and data processing systems Collaboration with multiple teams to understand requirements and objectives Administer testing and troubleshooting related to performance, reliability, and scalability H. Create and update documentation Hands-On Data Pipeline Development Design, code, and deploy ETL/ELT pipelines across bronze, silver, and gold layers of the Data Lakehouse. Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR. Implement incremental loads, deduplication, error handling, and data validation. Actively troubleshoot, debug, and optimize pipelines for scalability and cost efficiency. EDW & Data Lake Implementation Develop dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting. Build and maintain tables in Iceberg, Delta Lake, or equivalent OTF formats. Optimize partitioning, indexing, and metadata for fast query performance. Healthcare Data Integration Build ingestion and transformation pipelines for EDI X12 transactions (837, 835, 278, etc.). Implement mapping and transformation of EDI data with FHIR and HL7 frameworks. Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data. Data Quality, Security & Compliance Develop automated validation scripts to enforce data quality and integrity. Implement IAM roles, encryption, and auditing to meet HIPAA and CMS compliance standards. Maintain lineage and governance documentation for all pipelines. Collaboration & Delivery Work closely with the Lead Data Engineer, analysts, and data scientists to deliver pipelines that support enterprise-wide analytics. Actively contribute to CI/CD pipelines, Infrastructure-as-Code (IaC), and automation. Continuously improve pipelines and adopt new technologies where appropriate. Minimum Qualifications The candidate should have experience as data engineer or similar role with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable of distributed computing and parallel processing. This position requires a bachelor's or master's degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or a related field. Three (3) years of equivalent experience in a related field may be substituted for the Bachelor's degree. 3+ years hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms. Strong coding skills in Python and SQL (Scala or Java a plus). Proven experience with Apache Spark (PySpark) for large-scale processing. Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation. Strong debugging and performance optimization skills in distributed systems. Hands-on experience with Iceberg, Delta Lake, or other OTF table formats. Experience with Airflow or other pipeline orchestration frameworks. Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation). Practical experience with EDI X12, HL7, or FHIR data formats. Strong understanding of Medallion Architecture for data lake houses. Hands-on experience building dimensional models and data warehouses. Working knowledge of HIPAA and CMS interoperability requirements.
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
