50 jobs found

Job Description Job Description OUR STORY TechInsights is the information Platform for the semiconductor industry. Regarded as the most trusted source of actionable, in-depth intelligence related to semiconductor innovation and surrounding markets, TechInsights' content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry-past, present, or future. Over 650 companies and 150,000 users access the TechInsights Platform, the world's largest vertically integrated collection of unmatched reverse engineering, teardown, and market intelligence in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary. TechInsights' customers include the most successful technology companies who rely on TechInsights' analysis to make informed business, design, and product decisions faster and with greater confidence. For more information, visit . WHY WORK WITH US Company-sponsored training and development opportunities Comprehensive benefits package (health, dental, vision, wellness, 401K Matching, annual fitness reimbursement) Flexible vacation policy Trusted device reimbursement program Community involvement opportunities through charitable alliances: -involvement Wellness resources and support Inclusive environment that prioritizes diversity, equity, and accessibility High-growth company driven by high performance Expected salary range: $140,000-$149,200 USD THE OPPORTUNITY: Our Data & Analytics team is committed to transforming data into readable, goal-oriented insights used to advise the company's leadership when developing strategies for operational improvements and future business initiatives. We own corporate data, corporate reporting, and ensure data is at the heart of every decision. As our Data & Analytics Manager, you will lead a team of analysts to deliver high-impact analytics solutions while fostering a culture of continuous improvement, collaboration, and data-driven decision-making. You will balance hands-on analytics work with team development, strategic planning, and stakeholder management, translating business priorities and leadership vision into team objectives while championing our commitment to Impact, Speed, Repeatability, Accuracy, and Reliability. WHAT YOU'LL DO Provide technical guidance and direction on complex analytics projects, serving as an escalation point for challenging technical problems Establish and maintain team standards for data quality, documentation, naming conventions, and analytics best practices Lead efforts to define and industrialize corporate metrics and KPIs, ensuring consistency and accuracy across all reporting Oversee data reconciliation processes and ensure all outputs align with sources of truth Drive initiatives to improve data governance, including data cataloging, quality metrics, and stewardship practices Stay current with emerging technologies and methodologies; evaluate and recommend new tools and approaches that could benefit the team Lead or contribute to high-priority, high-visibility analytics initiatives, particularly those requiring advanced technical expertise or of strategic importance Conduct complex data analyses and provide insights that inform strategic business decisions Serve as subject matter expert in data visualization, analytical methodologies, and business intelligence tools Develop and execute the team's strategic roadmap in alignment with organizational priorities and the Data & Analytics team's mandate Drive initiatives focused on operational excellence, rationalization and automation, and comprehensive documentation Define and track team success metrics (Impact, Speed, Repeatability, Accuracy, Reliability); monitor, assess, and communicate team performance Identify opportunities for process improvements and implement changes that enhance team efficiency and output quality Lead, coach, and develop a team of analysts, including performance management and career development WHAT YOU'LL BRING 5+ years of experience in business intelligence, data analytics, or a related field, including at least 1 year in a leadership or management role Expert proficiency in data visualization and business intelligence tools; Tableau Cloud experience required, including Tableau Prep Strong technical foundation in data preparation, ETL/ELT processes, data engineering concepts, modern data stack tools, and cloud data platforms Advanced understanding of Large Language Models and AI tools, with the ability to guide the team in leveraging these technologies effectively Exceptional communication and presentation skills; able to convey complex technical concepts to diverse audiences, including senior executives Strong business acumen and strategic thinking; understands how analytics initiatives connect to organizational goals Excellent project management and organizational skills; able to manage multiple priorities and initiatives simultaneously Experience establishing team processes, standards, and best practices; committed to operational excellence and documentation Strong problem-solving abilities and critical thinking; comfortable navigating ambiguity and making informed decisions with incomplete information Collaborative leadership style with the ability to influence across organizational boundaries without direct authority Commitment to continuous improvement and learning; models a growth mindset and encourages innovation Experience with the Atlassian suite of collaborative software preferred Passion for data quality, accuracy, and ensuring analytics outputs are usable, actionable, and trustworthy As part of the recruitment process for this position, you will be required to submit your latest citizenship and/or permanent residency information. This information will be used to comply with U.S. Export Control Laws and Regulations. WORKING ARRANGEMENT This is a full-time, in-office position based in our Greenwood Village, CO office. Technology knows no bounds, and neither does TechInsights. Bringing together talented humans from different perspectives, backgrounds and abilities is something we take seriously. We're committed to building an inclusive environment that welcomes you to be your authentic self and allows us to push past the boundaries together. TechInsights is committed to meeting the needs of people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. AI technology may be used to assist in the screening and assessment of applications for this position. Our recruiters are involved at every stage, and all hiring decisions are made by People and hiring teams. As part of any recruitment process, TechInsights collects and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. Our Privacy policy can be referenced here: -policy Powered by JazzHR m02Qi5jdcb

Job Description Job Description Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. You will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success. We'll Trust you to: Work with cross-functional project teams in the design and development of high-quality deliverables for clients. Collaborate with leadership to define project scope, approach, and development strategies. Contribute to Beghou's internal data warehouse build. Demonstrate knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices. Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams. Work on projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight. Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting. Coordinate with global and diverse teams to ensure seamless project execution. Contribute to internal firm initiatives to drive organizational growth. You'll Need to Have: Bachelor's or advanced degree with at least 2+ years of relevant professional experience, preferably in the pharmaceutical or life sciences industry. Experience with one or more additional UI-based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy), preferred. Experience with relational database technologies, such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL. Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel. Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA, etc.) and experience with data visualization software (e.g., Tableau, Power BI) is highly preferred. Experience with Claude Code or ChatGPT Codex is preferred. Excellent analytical and quantitative skills, with a proven ability to solve complex problems. Exceptional communication skills, both written and verbal. Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously. Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment. Familiarity with industry best practices in data analytics within the pharmaceutical sector. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $90,000 to $110,000. We are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization . Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization. At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact! Compensation and Benefits: Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following: Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best. Work-Life Balance Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you'll enjoy the balance of in-person collaboration and remote flexibility. Financial Wellness We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You'll also receive a monthly phone stipend and access to an employee discount program. Growth & Giving Back Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match. Culture & Values Collaboration, innovation, and inclusion define us. Here, you'll join a community that values your ideas and celebrates your impact. Equal Opportunity Employer We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company's vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles. Must be legally authorized to work in the United States. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers' greatest challenges. We recognize that the most effective environment for your projects doesn't always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done-while having the flexibility to work from home when needed to achieve focused results. Why Enlighten? At Enlighten, our team's unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company's success, so we seek to take care of you as much as you take care of us. Here are a few highlights of our benefits package: • 100% paid employee premium for healthcare, vision and dental plans. • 10% 401k benefit. • Generous PTO + 10 paid holidays. • Education/training allowances. Anticipated Salary Range: $137,510.00 - $195,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process. Job Description As a member of the Data Operations Team at Enlighten, you will lead a technically focused team responsible for the reliability, uptime, and speed-to-delivery of mission-critical data sets. This role requires a heavy focus on customer interface, serving as the primary technical point of contact for stakeholders. You will translate complex mission requirements into technical workflows, ensuring that our data pipelines are automated, documented, and precisely aligned with customer needs. This position focuses on the systems engineering and platform stability required to manage high-velocity data across complex ecosystems. You will oversee the transition from reactive data fixing to an adaptive, self-healing platform, managing the "Flow Owners" who monitor, troubleshoot, and optimize data infrastructure while maintaining high-touch communication with the client. Level Essential Job Responsibilities Customer Interface & Engagement: Serve as the liaison between the customer and the technical team. You will manage expectations, communicate technical roadmaps, and translate mission-specific data needs into actionable engineering tasks. Operational Leadership: Assist in managing the daily operations of the DataOps team, focusing on accelerating data availability and minimizing the latency between initial data identification and final database availability. Systems Engineering Oversight: Oversee the deployment and maintenance of data flows using standardized templates and core libraries provided by the Engineering team. Performance Tuning: Responsible for immediate cluster performance tuning and pipeline monitoring to ensure data health and discovery latency are minimized. Strategic Alignment: Drive the technical evolution of the data platform, moving the organization from a reactive maintenance state toward a proactive, automated, and adaptive operational model. Ecosystem Coordination: Facilitate technical exchanges to ensure scripts, flow strategies, and wins in one area of the ecosystem are adapted and utilized across others. Quality Governance: Implement automated "Quality Gates" and schema validations to ensure data integrity before it reaches production environments. Technical Troubleshooting: Assist with the decomposition of complex technical problems and troubleshoot systemic dataflow issues across distributed messaging, orchestration, and cloud environments. Other duties as assigned. Minimum Qualifications Clearance Requirement: Must currently have and maintain an active Secret U.S. Government Security Clearance with the ability to obtain and maintain a TS/SCI; U.S. Citizenship required. Must have 9+ years in technical operations, systems engineering, or data management with a Bachelor's degree; OR 7 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 13 years relevant experience. Distributed Systems & Cloud Platforms: Proven experience managing high-volume data flow and storage solutions, specifically distributed messaging queues, data orchestration engines, and cloud-native storage. Observability & Log Analysis: Strong familiarity with enterprise observability platforms and log analysis tools for monitoring system health and minimizing data discovery latency. Data Standards: Deep understanding of network data, metadata fill rates, and various log formats such as JSON and XML. ETL Management: Fluency in managing extraction, translation, and loading (ETL) processes to enable rapid analytics. Data Validation: Experience with Structure Query Language (SQL) for the purposes of data validation in conjunction with members of the team and the customer. Scripting for Automation: Ability to utilize scripting languages (e.g., Python or Java) to implement shared libraries that automate repetitive tasks and improve operational efficiency. Technical Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and translate customer mission requirements into technical specifications. Must have a current/active DoD 8140 / 8570 IAT Level II compliance certifications. Must be able to work on customer site in Fort Meade, MD on average 2 days a week. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements A current TS/SCI level clearance is desired. Customer Success Background: Prior experience in a technical account management or customer-facing engineering role. Scalable Architectures: Experience with distributed data processing and cloud-native storage solutions. Security Operations: Prior experience supporting cyber or network security operations. Governance & Access: Knowledge of implementing automated Attribute Based Access Control (ABAC) or data masking within production pipelines. We have many more additional great benefits/perks that you can find on our website at .

Job Description Job Description Overview Job Title: Data Product Manager Location: Arnold AFB, TN Job Family Code: Q - Program Management & Operations (tech) Function/Branch: MIS/Data Team Directorate: MIS Position Type:Regular, Full-Time Pay Type: Exempt Sponsorship: Position Not Sponsored Grade: L10 (QA1005)/L11 (QA1103) Salary Range or Starting Hourly Rate: L10: $146,500 - $179,000; L11: $160,000 - $213,000/ per year Overview BNH is seeking a strategic, business-oriented Data Product Manager to lead our enterprise data transformation and define the roadmap for BNH's data products supporting the TOS II contract at Arnold Air Force Base. In this hands-on leadership role, you will treat enterprise data as a core product, bridging the gap between technical teams (data engineering, analytics, business intelligence) and key business stakeholders (aerospace test operations, finance, and compliance). You will define product vision, manage the data product backlog, and lead the technical team in delivering secure, self-service data capabilities that support aerospace testing throughput. As a key member of the senior leadership team, the Data Product Manager will define and execute the organization's data strategy, ensuring that data becomes a core driver of business performance, innovation, and competitive advantage. This is a hands-on leadership role that balances strategic vision with operational excellence Open to internal & external candidates. The selected candidate for this requisition may be required to occasionally (e.g. application upgrades) work outside normal business hours. Job Summary The successful candidate will be a strategic, business-oriented data leader responsible for defining the enterprise data product vision, establishing the long-term product roadmap, managing and prioritizing the feature backlog, and optimizing resource investments to ensure BNH's data assets deliver measurable business value and directly support the modernization goals of the TOS II contract. Job Duties and Key Responsibilities: Strategic leadership: Define and continuously evolve the enterprise data strategy aligned with business objectives; Establish KPIs that directly link data initiatives to business outcomes (revenue growth, churn reduction, cost savings, etc.); Act as the primary advocate for data initiatives at the executive level. Team Leadership: Build, lead, and scale a high-performing Data team (Data Engineering, Analytics, Data Science, Governance); Foster a culture of innovation, continuous learning, and technical excellence; Set priorities and make final decisions on project resourcing Cross-Functional Team Coordination: Lead and act as a bridge between cross-functional teams of data engineers, data scientists, analysts, and business leaders to ensure alignment and unblock technical progress. Product Roadmap & Delivery: Define product-level Objectives and Key Results (OKRs) and establish product success criteria; manage the data product lifecycle from concept through launch, user adoption, and continuous iteration. Maximize team velocity and resource allocation using Agile product management tools, shifting focus from "delivering on time" to "delivering high-value, high-adoption features. Requirement Translation: Convert high-level business goals into clear, actionable technical requirements for the data team. Test Operations Modernization: Partner with O&M, instrumentation, and test engineering directorates to design and modernize legacy data acquisition and telemetry pipelines. Build secure, reliable data products that scale testing capacity, directly supporting the contract's goal to double testing throughput. Data Governance and Quality Management: Oversee enterprise data governance, data quality, master data management, and data security; Ensure data collection, storage, and sharing comply with internal data governance standards, security policies and compliance with all regulatory and privacy requirements; Anticipate and mitigate technical, ethical, or financial hurdles while ensuring data accuracy; Champion best practices in data architecture and data management. Data Product Lifecycle Management: Define the long-term vision, strategy, and product roadmap for BNH's data infrastructure, analytics dashboards, and automated reporting systems. Workflow Management: Utilize Agile frameworks like Scrum or Kanban to manage data pipelines, handle unknowns, and iterate deliverables. Stakeholder Communication and Reporting: Translate complex technical progress into plain-language business insights for non-technical stakeholders and keep leadership informed on project health, risks, and ROI. Perform other duties as required. Basic Qualifications: Bachelor's in computer science, data science, software engineering, information systems, business analytics, or operations reasearch, OR Bachelor's degree in any field, plus 2 additional years of expereince in technical data management or product analytics. (10) Ten Years as a product owner, product manager, data scientist, business intelligence, data engineering or data analytics. Must be able to obtain and maintain an active security clearance and mainatain authorized user access to the AEDC local area network. U.S. Citizenship is required due to federal governement contract compliance requirements and the necessity to access secure federal databases and networks on Arnold Air Force Bsae. Preferred Qualifications Data Management Fundamentals: Understanding of data warehousing, ETL (Extract, Transform, Load) pipelines, database structures, and data modeling. Enterprise-Scale Modernization: Experience migrating legacy on-premises systems (e.g., legacy databases, analog test telemetry) to modern, cloud-based data warehouses or unified lakes. Business Intelligence & Analytics Tools: Familiarity with visualization and reporting platforms like Tableau, Power BI, or Looker. Data Science & Big Data Concepts: Working knowledge of how machine learning models, big data frameworks, and analytics workflows operate. Query & Scripting Basics: Literacy in foundational languages or tools like SQL or Python to communicate effectively with technical contributors Translation & Communication: Ability to explain complex technical metrics and machine learning outputs in plain language to non-technical business partners. Collaboration Frameworks: Experience running agile or hybrid project frameworks (such as Scrum or Kanban). Problem-Solving & Critical Thinking: Aptitude for troubleshooting data bottlenecks, missing variables, or shifting project requirements. Stakeholder Management: Skill in balancing competing demands, managing expectations, and driving project buy-in across different departments. What We Offer Competitive salaries Continuing education assistance Multiple healthcare benefits packages 401K with employer matching Paid time off (PTO) along with a federally recognized holiday schedule Who We Are Beyond New Horizons (BNH) is a fully populated joint venture of Astrion and Fluor Federal Services, Inc. formed to provide unmatched Test Operations and Sustainment services for the Arnold Engineering Development Complex. We chose our name to serve as an enduring reminder of our commitment to AEDC's rich aerospace research and development legacy anchored in AEDC's Toward New Horizons founding study and the unprecedented opportunities to greatly expand AEDC's capabilities and capacity Beyond those existing today. Leveraging the capabilities of our parent companies, BNH specializes in testing and evaluation for military and space systems combined with proven capability in large-scale Government program management, integration, engineering, and construction services for specialized and technically advanced high-hazard facilities. Join our Team! U.S. Citizenship is required. At this time BNH will not sponsor any applicants for employment authorization or offer any immigration related support for this position (i.e. H1b, F1 OPT, F-1 STEM OPT, F-1 CPT, J-1, E-2, E-3, L-1, or other forms of work authorization that require immigration support from an employer). 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 BNH is willing to pay at the time of this posting. Salaries for part-time jobs will be adjusted based upon the number of hours agreed to work at location Tennessee: Arnold Air Force, TN. L10: $146,500 - $179,000; L11: $160,000 - $213,000/ year at Arnold Air Force Base, TN. BNH is an Equal Employment Opportunity/Affirmative Action Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. . click apply for full job details

Job Description Job Description The Data Analytics and Reporting Manager is responsible for leading the day-to-day execution of OANA's Data & Analytics organization, ensuring the successful delivery of reporting, analytics, data engineering, data integration, and operational data services across the enterprise. This role serves as the operational leader of the Data Team and is accountable for managing the team's daily workload, project execution, production support, incident management, stakeholder engagement, and personnel development. The Data Analytics and Reporting Manager executes the strategic vision established by the Director of Data & Software Development and ensures alignment with enterprise architecture, governance standards, and business priorities. As OANA continues its modernization journey through the Cortex Data Mesh platform, this role will help drive the implementation and operation of enterprise data products, APIs, reporting solutions, and analytical capabilities that support Underwriting, Claims, Accounting, Sales, Risk Management, and future business domains. KEY RESPONSIBILITIES Team Leadership & People Management Lead and manage daily operations of the Data & Analytics team Conduct regular one-on-one meetings and performance reviews Manage employee performance, coaching, mentoring, and career development Establish workload priorities and resource allocation Support recruiting, interviewing, onboarding, and training activities Develop succession plans and growth opportunities within the team Foster a culture of accountability, continuous improvement, and customer service Data Delivery & Operational Management Own successful execution of enterprise reporting, dashboards, data products, and engineering initiatives Ensure timely delivery of Accounting month-end, Claims, Underwriting, Executive, and Regulatory reporting Manage data integration efforts, operational support, production incidents, and data quality investigations Monitor team performance against service level agreements and delivery commitments Project & Portfolio Execution Oversee data platform initiatives, BI projects, reporting enhancements, data migration, and API development Lead sprint planning, backlog grooming, resource planning, and task prioritization Manage dependencies, identify risks, and maintain stakeholder communication Provide regular status updates to the Director of Data & Software Development Incident & Production Support Management Serve as operational owner for data incidents, reporting failures, integration/ETL issues, and data quality concerns Lead incident triage, root cause analysis, escalation management, and resolution tracking Develop preventative action plans and maintain proper monitoring and support processes Data Product & Data Mesh Operations Support implementation and operation of OANA's Cortex Data Mesh architecture Manage data product lifecycle, quality monitoring, domain ownership, and data catalog maintenance Ensure data products remain aligned with enterprise standards and business requirements API & Integration Delivery Lead operational delivery of APIs and integrations, including but not limited to Guidewire InsuranceSuite. Manage API backlog, integration prioritization, data contracts, and performance monitoring Support the evolution of Cortex as the enterprise source of truth and integration hub Stakeholder Management Act as primary operational contact for Accounting, Claims, Underwriting, Sales, Risk Management, and IT Operations Lead requirement clarification, prioritization discussions, status communications, and issue resolution Escalate strategic decisions and conflicts to the Director. TECHNICAL RESPONSIBILITIES The Data Analytics and Reporting Manager should possess sufficient technical expertise to guide the team, review designs, and participate in solution architecture discussions across the following areas: Data Architecture Data Mesh, Data Warehouse, Data Lakehouse, Operational Data Stores Master Data Management and Data Product architecture Software Development Practices Agile/Scrum, SDLC, CI/CD, Source Control, API Lifecycle Management, Testing Methodologies Data Engineering ETL/ELT methodologies, data modeling, transformation and quality frameworks, data lineage Analytics & Reporting Executive dashboards, operational reporting, self-service analytics, KPI development, performance scorecard Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field 10+ years in Data Analytics, Business Intelligence, Data Engineering, or Data Management 10+ years of Property & Casualty insurance industry experience 3+ years of leadership experience managing technical teams Experience managing both analysts and engineers Experience delivering enterprise reporting and analytics solutions Strong understanding of data architecture principles Experience leading Agile teams and project delivery Strong communication and stakeholder management skills

Job Description Job Description The Data Analytics and Reporting Manager is responsible for leading the day-to-day execution of OANA's Data & Analytics organization, ensuring the successful delivery of reporting, analytics, data engineering, data integration, and operational data services across the enterprise. This role serves as the operational leader of the Data Team and is accountable for managing the team's daily workload, project execution, production support, incident management, stakeholder engagement, and personnel development. The Data Analytics and Reporting Manager executes the strategic vision established by the Director of Data & Software Development and ensures alignment with enterprise architecture, governance standards, and business priorities. As OANA continues its modernization journey through the Cortex Data Mesh platform, this role will help drive the implementation and operation of enterprise data products, APIs, reporting solutions, and analytical capabilities that support Underwriting, Claims, Accounting, Sales, Risk Management, and future business domains. KEY RESPONSIBILITIES Team Leadership & People Management Lead and manage daily operations of the Data & Analytics team Conduct regular one-on-one meetings and performance reviews Manage employee performance, coaching, mentoring, and career development Establish workload priorities and resource allocation Support recruiting, interviewing, onboarding, and training activities Develop succession plans and growth opportunities within the team Foster a culture of accountability, continuous improvement, and customer service Data Delivery & Operational Management Own successful execution of enterprise reporting, dashboards, data products, and engineering initiatives Ensure timely delivery of Accounting month-end, Claims, Underwriting, Executive, and Regulatory reporting Manage data integration efforts, operational support, production incidents, and data quality investigations Monitor team performance against service level agreements and delivery commitments Project & Portfolio Execution Oversee data platform initiatives, BI projects, reporting enhancements, data migration, and API development Lead sprint planning, backlog grooming, resource planning, and task prioritization Manage dependencies, identify risks, and maintain stakeholder communication Provide regular status updates to the Director of Data & Software Development Incident & Production Support Management Serve as operational owner for data incidents, reporting failures, integration/ETL issues, and data quality concerns Lead incident triage, root cause analysis, escalation management, and resolution tracking Develop preventative action plans and maintain proper monitoring and support processes Data Product & Data Mesh Operations Support implementation and operation of OANA's Cortex Data Mesh architecture Manage data product lifecycle, quality monitoring, domain ownership, and data catalog maintenance Ensure data products remain aligned with enterprise standards and business requirements API & Integration Delivery Lead operational delivery of APIs and integrations, including but not limited to Guidewire InsuranceSuite. Manage API backlog, integration prioritization, data contracts, and performance monitoring Support the evolution of Cortex as the enterprise source of truth and integration hub Stakeholder Management Act as primary operational contact for Accounting, Claims, Underwriting, Sales, Risk Management, and IT Operations Lead requirement clarification, prioritization discussions, status communications, and issue resolution Escalate strategic decisions and conflicts to the Director. TECHNICAL RESPONSIBILITIES The Data Analytics and Reporting Manager should possess sufficient technical expertise to guide the team, review designs, and participate in solution architecture discussions across the following areas: Data Architecture Data Mesh, Data Warehouse, Data Lakehouse, Operational Data Stores Master Data Management and Data Product architecture Software Development Practices Agile/Scrum, SDLC, CI/CD, Source Control, API Lifecycle Management, Testing Methodologies Data Engineering ETL/ELT methodologies, data modeling, transformation and quality frameworks, data lineage Analytics & Reporting Executive dashboards, operational reporting, self-service analytics, KPI development, performance scorecard Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field 10+ years in Data Analytics, Business Intelligence, Data Engineering, or Data Management 10+ years of Property & Casualty insurance industry experience 3+ years of leadership experience managing technical teams Experience managing both analysts and engineers Experience delivering enterprise reporting and analytics solutions Strong understanding of data architecture principles Experience leading Agile teams and project delivery Strong communication and stakeholder management skills

Vantor seeks a Constellation Integration Program Manager to lead complex software and data integration initiatives for modern web and cloud solutions. You'll own program delivery from discovery through rollout, aligning client goals with technical roadmaps, APIs, and data flows. Partnering with engineering and stakeholders, you'll coordinate agile teams, manage dependencies and risk, and ensure scalable, secure architectures. You'll promote integration standards, automation, and reusability while communicating progress clearly and driving measurable results in a collaborative, low-ego culture focused on learning and impact. Responsibilities Lead end-to-end delivery of Constellation integration programs for client software ecosystems Translate client business goals into technical integration roadmaps and milestones Coordinate cross-functional teams including developers, data engineers, and QADesign, document, and govern integration architectures, APIs, and data flows Manage schedules, risks, dependencies, and budgets using agile practices Establish integration standards, KPIs, and quality benchmarks Partner with clients to gather requirements, run demos, and manage expectations Ensure secure, scalable, and resilient integrations across cloud environments Drive continuous improvement, automation, and reusability of integration components Prepare status reports and communicate progress to stakeholders and leadership Required Skills Program management Systems integration API design and management Cloud platforms (AWS/Azure/GCP) Data mapping and ETLAgile/Scrum delivery Technical requirements analysis Risk and dependency management Integration architecture Stakeholder communication

Job Description Job Description Title : Principal Data Engineer Location: Madison, WI Employment Type : Full Time Compensation: Pay Range:$145,000-$190,000 Per Year Description Join our team as a Principal Data Engineer in a hybrid role based in Madison, WI. This full-time position involves leading cross-domain data initiatives and developing enterprise data engineering capabilities. You'll work with a variety of data processing and cloud technologies to drive technical outcomes and architectural standards. Key Responsibilities Lead technical outcomes for cross-domain initiatives from concept to production. Translate enterprise needs into executable technical plans. Coordinate technical execution and identify architectural risks. Define and evolve data engineering standards and architectures. Mentor engineers and communicate technical tradeoffs to stakeholders. Qualifications Bachelor's Degree in a relevant field or equivalent experience. Expert-level experience in software development and data engineering. Proficiency in data pipeline development and data modeling solutions. Experience with cloud infrastructure and data storage solutions. Ability to lead and communicate complex technical decisions effectively. Core Technologies Spark Python SQL ETL ELT NoSQL Cloud Infrastructure REST API Agile Tools Contact Authorization: By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here -policy Benefits: Learn more about our benefits offerings here -perks Onboarding Expectations: Learn more about our Onboarding Process here EEO Statement: Learn more about our EEO policy here -statement

Edward Jones seeks an experienced Engineer IV to design, build, and optimize enterprise-scale technology solutions supporting our finance and insurance platforms. In this role, you will architect secure, resilient systems, lead complex projects from concept through production, and mentor engineers while collaborating with cross-functional partners. You will drive modernization, automation, and data integration efforts that enhance client-facing tools and advisor productivity. Ideal candidates bring deep technical expertise, strong communication, and a passion for delivering reliable, high-quality solutions in a highly regulated industry. Responsibilities Architect and design scalable, secure enterprise systems for finance and insurance platforms Lead end-to-end delivery of complex technology projects Develop and review high-quality code, tests, and documentation Implement integration, APIs, and data pipelines supporting business workflows Drive modernization, cloud adoption, and automation initiatives Ensure solutions meet security, compliance, and reliability standards Troubleshoot and resolve production issues, improving observability and performance Collaborate with product, security, and business stakeholders to refine requirements Mentor and coach junior and mid-level engineers Contribute to engineering best practices, standards, and technical roadmaps Required Skills Enterprise software architecture and design Java, C#, or similar object-oriented programming language RESTful APIs and microservices SQL and relational databases; exposure to No SQL or cloud-native data stores Cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) CI/CD pipelines and Dev Ops practices Security, compliance, and identity/access management in regulated environments Observability tools (logging, metrics, tracing) and performance tuning Automated testing (unit, integration, regression) Data integration and ETL pipelines

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Lead Application Architect Location: Suitland, MD (Hybrid) Terms: Full-time Clearance/Work Authorization: U.S. Citizenship with the ability to obtain and maintain a Public Trust is required SalaryRange: $160-225k DOE Travel: 0-20% Project Description This position supports Revolutional's federal customer as part of an application transformation and modernization initiative. This program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization. The core challenge: orchestrating complex, multi-contractor delivery while transforming both technology and operating models without disrupting mission-critical operations. Position Description As a Lead Application Architect at Revolutional, you will define and drive enterprise application architecture strategy across a complex portfolio of systems, teams, and modernization initiatives. You will operate at the intersection of architecture, engineering, security, and delivery ensuring applications are scalable, maintainable, secure, and aligned with enterprise standards and mission outcomes. You will guide modernization efforts, enforce architectural governance, and coordinate across multiple vendors, technical teams, and stakeholders. This role requires someone who can balance long-term architectural vision with practical execution, particularly in environments transitioning from legacy systems to open-source, cloud-native platforms. Responsibilities Lead application architecture strategy and governance across enterprise modernization initiatives Define and implement scalable, cloud-native application architectures using open-source technologies and modern integration patterns Guide modernization of legacy and on-premises systems into microservices-based and event-driven architectures Design and support APIs, messaging systems, event streaming, and system-of-systems integrations Support AI/ML-enabled application architectures, including model integration, deployment, and operationalization Align application architectures with enterprise data strategies, including data governance, data quality, lifecycle management, and real-time processing Support Census-style survey and data lifecycle systems, including data ingest, ETL pipelines, transformation, analytics, and dissemination workflows Ensure architectures align with federal security and compliance requirements including NIST, FedRAMP, FISMA, Zero Trust, MFA, secure SDLC, and ATO support processes Enable DevSecOps practices through architecture supporting CI/CD automation, security validation, and infrastructure-as-code Collaborate across multiple contractors, engineering teams, architects, and stakeholders to ensure architectural alignment and interoperability Lead architecture reviews, establish standards, and enforce best practices across delivery teams Ensure applications meet requirements for scalability, resiliency, high availability, observability, and operational performance Mentor developers and architects while driving architectural consistency across teams Technical Environment Cloud-native environments (AWS, Azure) Open-source frameworks and technologies (Java, Python, React, Node.js) Containerization and orchestration platforms (Docker, Kubernetes) Infrastructure-as-Code and automation tools (Terraform) APIs, microservices, event-driven architectures, and messaging systems Streaming and messaging platforms (Kafka) DevSecOps and CI/CD toolchains (Jenkins, GitLab, GitHub Actions, SonarQube) Agile delivery and collaboration tools (Git, Jira, Confluence) High-volume, near real-time enterprise data ecosystems What You Bring (Requirements) Baseline Requirements US Citizenship with the ability to obtain a Public Trust 15+ years of experience in application architecture, software engineering, or enterprise modernization initiatives Proven experience leading application architecture across large-scale, distributed systems environments Experience operating within SAFe or scaled Agile delivery environments Ability to obtain and maintain a Public Trust clearance Technical Capabilities Strong experience designing scalable, distributed, cloud-native application architectures Experience modernizing legacy/COTS systems into open-source, microservices-based platforms Experience supporting AI/ML-enabled systems, including model integration and deployment Experience designing APIs, event-driven systems, messaging architectures, and distributed integrations Experience aligning application architecture with enterprise data architecture and governance requirements Experience supporting large-scale data processing, ETL workflows, analytics, and dissemination systems Strong understanding of federal security and compliance frameworks including NIST, FedRAMP, FISMA, Zero Trust, MFA, secure SDLC, and ATO processes Experience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation Experience engineering for high availability, resiliency, scalability, and operational reliability Experience coordinating architecture across multi-team, multi-contractor delivery organizations Core Strengths Strategic thinker with the ability to translate mission and business requirements into scalable architectures Strong ownership mindset with accountability for architectural outcomes Ability to influence technical direction across teams and stakeholders Strong decision-making capabilities balancing modernization goals with operational realities Effective communication across engineering, architecture, security, and executive stakeholders Nice to Have (Differentiators) Certified Solutions Architect (AWS, Azure, or Google Cloud Professional) Certified Cloud Security Professional (CCSP) or similar security certification DevOps or DevSecOps certifications Experience supporting statistical and other large-scale federal modernization programs Experience with large-scale event streaming, real-time processing, or enterprise analytics platforms _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills . click apply for full job details

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Lead Application Architect Location: Suitland, MD (Hybrid) Terms: Full-time Clearance/Work Authorization: U.S. Citizenship with the ability to obtain and maintain a Public Trust is required SalaryRange: $160-225k DOE Travel: 0-20% Project Description This position supports Revolutional's federal customer as part of an application transformation and modernization initiative. This program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization. The core challenge: orchestrating complex, multi-contractor delivery while transforming both technology and operating models without disrupting mission-critical operations. Position Description As a Lead Application Architect at Revolutional, you will define and drive enterprise application architecture strategy across a complex portfolio of systems, teams, and modernization initiatives. You will operate at the intersection of architecture, engineering, security, and delivery ensuring applications are scalable, maintainable, secure, and aligned with enterprise standards and mission outcomes. You will guide modernization efforts, enforce architectural governance, and coordinate across multiple vendors, technical teams, and stakeholders. This role requires someone who can balance long-term architectural vision with practical execution, particularly in environments transitioning from legacy systems to open-source, cloud-native platforms. Responsibilities Lead application architecture strategy and governance across enterprise modernization initiatives Define and implement scalable, cloud-native application architectures using open-source technologies and modern integration patterns Guide modernization of legacy and on-premises systems into microservices-based and event-driven architectures Design and support APIs, messaging systems, event streaming, and system-of-systems integrations Support AI/ML-enabled application architectures, including model integration, deployment, and operationalization Align application architectures with enterprise data strategies, including data governance, data quality, lifecycle management, and real-time processing Support Census-style survey and data lifecycle systems, including data ingest, ETL pipelines, transformation, analytics, and dissemination workflows Ensure architectures align with federal security and compliance requirements including NIST, FedRAMP, FISMA, Zero Trust, MFA, secure SDLC, and ATO support processes Enable DevSecOps practices through architecture supporting CI/CD automation, security validation, and infrastructure-as-code Collaborate across multiple contractors, engineering teams, architects, and stakeholders to ensure architectural alignment and interoperability Lead architecture reviews, establish standards, and enforce best practices across delivery teams Ensure applications meet requirements for scalability, resiliency, high availability, observability, and operational performance Mentor developers and architects while driving architectural consistency across teams Technical Environment Cloud-native environments (AWS, Azure) Open-source frameworks and technologies (Java, Python, React, Node.js) Containerization and orchestration platforms (Docker, Kubernetes) Infrastructure-as-Code and automation tools (Terraform) APIs, microservices, event-driven architectures, and messaging systems Streaming and messaging platforms (Kafka) DevSecOps and CI/CD toolchains (Jenkins, GitLab, GitHub Actions, SonarQube) Agile delivery and collaboration tools (Git, Jira, Confluence) High-volume, near real-time enterprise data ecosystems What You Bring (Requirements) Baseline Requirements US Citizenship with the ability to obtain a Public Trust 15+ years of experience in application architecture, software engineering, or enterprise modernization initiatives Proven experience leading application architecture across large-scale, distributed systems environments Experience operating within SAFe or scaled Agile delivery environments Ability to obtain and maintain a Public Trust clearance Technical Capabilities Strong experience designing scalable, distributed, cloud-native application architectures Experience modernizing legacy/COTS systems into open-source, microservices-based platforms Experience supporting AI/ML-enabled systems, including model integration and deployment Experience designing APIs, event-driven systems, messaging architectures, and distributed integrations Experience aligning application architecture with enterprise data architecture and governance requirements Experience supporting large-scale data processing, ETL workflows, analytics, and dissemination systems Strong understanding of federal security and compliance frameworks including NIST, FedRAMP, FISMA, Zero Trust, MFA, secure SDLC, and ATO processes Experience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation Experience engineering for high availability, resiliency, scalability, and operational reliability Experience coordinating architecture across multi-team, multi-contractor delivery organizations Core Strengths Strategic thinker with the ability to translate mission and business requirements into scalable architectures Strong ownership mindset with accountability for architectural outcomes Ability to influence technical direction across teams and stakeholders Strong decision-making capabilities balancing modernization goals with operational realities Effective communication across engineering, architecture, security, and executive stakeholders Nice to Have (Differentiators) Certified Solutions Architect (AWS, Azure, or Google Cloud Professional) Certified Cloud Security Professional (CCSP) or similar security certification DevOps or DevSecOps certifications Experience supporting statistical and other large-scale federal modernization programs Experience with large-scale event streaming, real-time processing, or enterprise analytics platforms _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills . click apply for full job details

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Lead Application Architect Location: Suitland, MD (Hybrid) Terms: Full-time Clearance/Work Authorization: U.S. Citizenship with the ability to obtain and maintain a Public Trust is required SalaryRange: $160-225k DOE Travel: 0-20% Project Description This position supports Revolutional's federal customer as part of an application transformation and modernization initiative. This program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization. The core challenge: orchestrating complex, multi-contractor delivery while transforming both technology and operating models without disrupting mission-critical operations. Position Description As a Lead Application Architect at Revolutional, you will define and drive enterprise application architecture strategy across a complex portfolio of systems, teams, and modernization initiatives. You will operate at the intersection of architecture, engineering, security, and delivery ensuring applications are scalable, maintainable, secure, and aligned with enterprise standards and mission outcomes. You will guide modernization efforts, enforce architectural governance, and coordinate across multiple vendors, technical teams, and stakeholders. This role requires someone who can balance long-term architectural vision with practical execution, particularly in environments transitioning from legacy systems to open-source, cloud-native platforms. Responsibilities Lead application architecture strategy and governance across enterprise modernization initiatives Define and implement scalable, cloud-native application architectures using open-source technologies and modern integration patterns Guide modernization of legacy and on-premises systems into microservices-based and event-driven architectures Design and support APIs, messaging systems, event streaming, and system-of-systems integrations Support AI/ML-enabled application architectures, including model integration, deployment, and operationalization Align application architectures with enterprise data strategies, including data governance, data quality, lifecycle management, and real-time processing Support Census-style survey and data lifecycle systems, including data ingest, ETL pipelines, transformation, analytics, and dissemination workflows Ensure architectures align with federal security and compliance requirements including NIST, FedRAMP, FISMA, Zero Trust, MFA, secure SDLC, and ATO support processes Enable DevSecOps practices through architecture supporting CI/CD automation, security validation, and infrastructure-as-code Collaborate across multiple contractors, engineering teams, architects, and stakeholders to ensure architectural alignment and interoperability Lead architecture reviews, establish standards, and enforce best practices across delivery teams Ensure applications meet requirements for scalability, resiliency, high availability, observability, and operational performance Mentor developers and architects while driving architectural consistency across teams Technical Environment Cloud-native environments (AWS, Azure) Open-source frameworks and technologies (Java, Python, React, Node.js) Containerization and orchestration platforms (Docker, Kubernetes) Infrastructure-as-Code and automation tools (Terraform) APIs, microservices, event-driven architectures, and messaging systems Streaming and messaging platforms (Kafka) DevSecOps and CI/CD toolchains (Jenkins, GitLab, GitHub Actions, SonarQube) Agile delivery and collaboration tools (Git, Jira, Confluence) High-volume, near real-time enterprise data ecosystems What You Bring (Requirements) Baseline Requirements US Citizenship with the ability to obtain a Public Trust 15+ years of experience in application architecture, software engineering, or enterprise modernization initiatives Proven experience leading application architecture across large-scale, distributed systems environments Experience operating within SAFe or scaled Agile delivery environments Ability to obtain and maintain a Public Trust clearance Technical Capabilities Strong experience designing scalable, distributed, cloud-native application architectures Experience modernizing legacy/COTS systems into open-source, microservices-based platforms Experience supporting AI/ML-enabled systems, including model integration and deployment Experience designing APIs, event-driven systems, messaging architectures, and distributed integrations Experience aligning application architecture with enterprise data architecture and governance requirements Experience supporting large-scale data processing, ETL workflows, analytics, and dissemination systems Strong understanding of federal security and compliance frameworks including NIST, FedRAMP, FISMA, Zero Trust, MFA, secure SDLC, and ATO processes Experience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation Experience engineering for high availability, resiliency, scalability, and operational reliability Experience coordinating architecture across multi-team, multi-contractor delivery organizations Core Strengths Strategic thinker with the ability to translate mission and business requirements into scalable architectures Strong ownership mindset with accountability for architectural outcomes Ability to influence technical direction across teams and stakeholders Strong decision-making capabilities balancing modernization goals with operational realities Effective communication across engineering, architecture, security, and executive stakeholders Nice to Have (Differentiators) Certified Solutions Architect (AWS, Azure, or Google Cloud Professional) Certified Cloud Security Professional (CCSP) or similar security certification DevOps or DevSecOps certifications Experience supporting statistical and other large-scale federal modernization programs Experience with large-scale event streaming, real-time processing, or enterprise analytics platforms _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills . click apply for full job details

Vantor seeks a Senior AI/ML Engineer to advance AI capabilities in our Defense & Aerospace portfolio. You will architect, implement, and optimize machine learning and deep learning solutions within the Data Science & AI department. Responsibilities include building secure, scalable ML pipelines, integrating models into mission systems, and collaborating with cross-functional teams to solve complex operational challenges. You'll mentor peers, influence AI strategy, and help foster Vantor's culture of innovation, diversity, and continuous learning while delivering high-impact, production-grade AI services. Responsibilities Design, build, and deploy ML and deep learning models for defense and aerospace applications Collaborate with cross-functional teams to define AI requirements and translate mission needs into technical solutions Develop secure, scalable ML pipelines and MLOps practices for production systems Optimize model performance, reliability, and latency for real-world operational environments Mentor junior engineers and contribute to Vantor's AI best practices and technical standards Document architectures, experiments, and results for stakeholders and compliance needs Required Skills Machine learning algorithms Deep learning (CNNs, RNNs, transformers) Python Tensor Flow or Py Torch MLOps and CI/CD for MLCloud platforms (AWS/Azure/GCP) Data engineering (ETL, pipelines) Model evaluation and optimization Version control (Git) Secure, scalable software design

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Active Secret What You Will Do: Guidehouse is seeking a Data Engineer who will provide data engineering and analysis consulting to a DoD client. You will work closely with clients, project managers, data scientists, and other developers to deliver high-quality, impactful solutions. This role requires a strong understanding of data modeling, data integration, and software development principles, as well as excellent communication and problem-solving skills. What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance Bachelor's degree THREE (3) or more years of experience related to Data Science, Data Management, Data Engineering, Technology Consulting or related field. What Would Be Nice To Have: Experience with other Palantir products (e.g., Foundry) Experience with data visualization tools (e.g., Tableau, Power BI) Experience with big data technologies (e.g., Hadoop, Spark) Experience working in a consulting environment. Experience with Agile development methodologies (e.g. Scrum) Proficiency in at least one programming language, such as Python, Java, or Scala Experience with data integration tools and techniques (e.g., ETL, data ingestion). What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Description Job Description Title: Attack Surface Management Engineer Location: Remote Duration: 12 Months Description : Business Initiative/Purpose: (Goal, Business Impact, Accomplishments from the work) Lead EASM/Client validation and engineering: Investigate and reproduce findings from EASM platforms (e.g., exposed services, misconfigurations, weak crypto, DNS issues, leaked assets) Bachelor Degree: (Required, Preferred or Not Required) Required or enough job experience. Role Responsibilities: (what they will be doing) The Cybersecurity Engineer (Attack Surface Management) is responsible for designing, implementing, and maturing advanced security validation capabilities to safeguard enterprise systems and applications. This role focuses on continuous security validation through External Attack Surface Management (EASM) tools, integration with existing security infrastructure, and providing actionable insights to strengthen the firm s cyber resilience. The engineer partners with cross-functional teams to simulate real-world adversarial tactics, techniques, and procedures (TTPs), evaluate control effectiveness, and recommend enhancements that align with enterprise risk management and regulatory standards. Must Have Skills/Prior Experiences: (Vendor should not submit any candidate that does not have these skills/prior experience.) 1. Software development(Python, Golang, C# language doesn t matter really) 2. ETL Pipelines 3. Self starter 4. sql/kusto 5. cloud Plus/Nice to Have Skills/Prior Experiences: (Hiring Manager DOES NOT require these skills/ prior experience. However candidates with any of these will be looked at first.) Optional - dev/appsec experience - networking/cloud - IR/SOC EEO Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Job Family: Data Science Consulting Travel Required: None Clearance Required: Active Secret What You Will Do: Apply strong technical skills and a mission focused mindset to understand client needs, identify opportunities, and design solutions for Federal clients. Leverage tools such as Python, SQL, LLMs, and Tableau and platforms such as Databricks to develop products and solutions. Automate processes using Power Automate when appropriate. Communicate clearly to translate technical findings for both technical and non technical audiences, including leadership. Engage directly with clients to gather requirements, adapt solutions to mission needs, and drive initiatives forward. Support internal initiatives and business development including RFP, RFQ, and RFI responses and white papers. What You Will Need: Active SECRET or higher security clearance. Bachelor's degree in a relevant technical field. TWO (2) years of Data science, data engineering or data analytics experience. Proficiency in connecting data sources and wrangling data using Python. Experience in querying and wrangling data using SQL. Experience designing and developing ETL/ELT data pipelines. Experience utilizing Large Language Models and prompt engineering. Experience in developing and deploying AI/ML models using Python. Experience performing analytics and data engineering in a cloud environment, such as Azure or AWS. Ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area. What Would Be Nice To Have: THREE (3) years of relevant professional experience. Experience working in Databricks. Strong understanding of statistics and statistical methods. Understanding of Natural Language Processing. Familiarity with Databricks platform for conducting data science. Familiarity with development involving APIs. Ability to learn new software tools. Ability to work independently, proactively identify opportunities to add value to the client, and drive initiatives and innovation. Ability to clearly communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership. Ability to develop and conduct technical training. Familiarity with RAG methods and development. Understanding of AI/ML model containerization, such as with Docker. Proficiency in developing data visualizations and dashboards using Power BI or Tableau, applying best practices. Experience automating data analytics and other business processes using Power Automate. Proficiency using source control and collaborative development practices. Experience with graph analytics, network analysis, or graph data modeling. Relevant experience supporting Department of State or other Federal Government organizations. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Active Secret What You Will Do: Guidehouse is seeking a Data Engineer who will provide data engineering and analysis consulting to a DoD client. You will work closely with clients, project managers, data scientists, and other developers to deliver high-quality, impactful solutions. This role requires a strong understanding of data modeling, data integration, and software development principles, as well as excellent communication and problem-solving skills. What You Will Need: An ACTIVE and MAINTAINED SECRET Federal or DoD security clearance Bachelor's degree EIGHT (8) or more years of experience related to Data Science, Data Management, Data Engineering, Technology Consulting and/or relative field What Would Be Nice To Have: Experience with other Palantir products (e.g., Foundry) Experience with data visualization tools (e.g., Tableau, Power BI) Experience with big data technologies (e.g., Hadoop, Spark) Experience working in a consulting environment. Experience with Agile development methodologies (e.g. Scrum) Proficiency in at least one programming language, such as Python, Java, or Scala Experience with data integration tools and techniques (e.g., ETL, data ingestion). What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Description Job Description Duration: 12 months Schedule Descriptions: 4 days x 10 hours Job Description: Be part of a team tasked with designing and implementing a single source of truth, data-centric platform that integrates diverse data sources from all phases of a new nuclear build, including design, licensing, procurement, construction, commissioning, and plant operations. Incorporate innovative, data-driven solutions that streamline workflows, enhance collaboration, and provide real-time data analytics into the processes for requirements management and traceability, records creation and control, change management, regulatory programs compliance demonstration, work control, maintenance planning and scheduling, and equipment reliability monitoring. Communicate the objectives and strategies for the data platform to internal stakeholders and key external partners and collaborate to define roles, responsibilities, and authorities. Principal Accountabilities: Implement the comprehensive data strategy for a single source of truth data-centric platform. Implement the Data Governance Framework that establishes effective data architecture and integration principles, policies, and standards to ensure data quality, security, and compliance. Identify the best solutions for the creation of digital twins for regulatory programs and the digital threads to requirements and plant equipment. Evaluate in-use enterprise asset management software and databases to identify opportunities for inclusion and elimination of redundancy. Skills/Experience: Required Education and Experience: Requires a bachelors degree in computer science, information technology, data science, engineering or a related field, and five years of experience in a data architecture, data management, or related role. Desired Education and Experience: Experience working with and designing operational, change management, or records systems. Experience integrating data from a variety of disparate systems into a centralized location. Knowledge of a wide array of cloud providers, SaaS platforms, data storage platforms, and experience making decisions about which technologies are optimal for a projects needs. Experience gathering requirements from stakeholders with varying backgrounds and advising on technical solutions. Experience leading and building technical teams, communicating stakeholder priorities and producing tasking accordingly, and providing regular statuses to stakeholders on project objectives. Strong knowledge of various database technologies (e.g., SQL), data integration (ETL/ELT application integration) frameworks, and cloud services (e.g., AWS, Azure). Experience with big data technologies (e.g., Hadoop, Spark) and data streaming services (e.g., Kafka). Proficient in a programming language such as Python, Java, or others. Expertise in data modeling and data warehousing principles including an understanding of transactional schema, normalization/denormalization, star schema, snowflake schema, etc. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

Job Description Job Description What Impact You'll Have GRVTY is seeking a motivated and experienced Data Manager to provide technical and managerial leadership over our overhead satellite imagery preprocessing operations. The ideal candidate is an experienced data operations leader with a passion for solving complex pipeline challenges, ensuring data integrity, and delivering mission-critical results in support of the DoW and Intelligence Community. This role serves as the primary communication interface between the customer and the team, translating requirements into successful execution across the full data operations lifecycle. What You'll be Owning Oversee and manage data, databases, and pipelines across the full data acquisition, curation, and preprocessing lifecycle, ensuring compliance with specified requirements and priorities Conduct regular Quality Control (QC) of data holdings to: Manage the data operations pipeline to include: Apply engineering best practices to optimize data pipeline efficiency and performance across all sensor modalities including: EO, FMV, HMI, and SAR Lead and manage team members by providing: Ensure data dictionaries, Entity Relationship Diagrams (ERDs), software comments, and documentation are regularly maintained and updated Serve as the primary customer communication interface to relay tasks and requirements and ensure successful work execution What You Must Have Active TS/SCI Clearance with the ability to obtain a CI/Poly People management experience, including: Team lead or project lead roles Independently initiating and driving projects to completion Strategic problem solver with excellent communication skills Experience in quantitative analysis and data operations, to include: Developing visualizations and processing complex data to create data-driven insights Data manipulation and ETL procedures Working knowledge of SQL and NoSQL database technologies Demonstrated experience managing databases and data pipelines Experience working with cloud architectures Experience working with large, complex geospatial data files and formats What Would be Nice to Have Experience using Agile/SAFe methodologies Experience with NGA enterprise technology systems such as NGA CORE and MLOps GEOINT Professional Certification - Fundamentals (F) Experience working with AI/ML technologies applied to geospatial data Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $160,000 - $190,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $160,000-$190,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, 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, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.