Job Description Job Description About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests. Requisition #: 1700 Job Title: Data Operations Technical Lead Location: MacDill AFB, FL Clearance Level: Top Secret / SCI, Must Have Clearance to Start Job Description The contractor shall identify a Data Operations Technical Lead by name who shall deliver the foundational data infrastructure necessary to transform SOF Enterprise data into a critical strategic asset. This individual will ensure comprehensive data and engineering management, data quality and resource management providing scalable systems and reliable infrastructure essential for integrating advanced analytics and effective Artificial Intelligence solutions, significantly enhancing data-driving decision-making across all warfighting functions. Job Duties: Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses, data lakes, and other storage systems. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data across various platforms and systems. Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming). Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and capable of handling increasing data volumes. Oversee the development of data models and schema designs to ensure accurate, accessible, and high-performance data storage for analytics and reporting. Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms. Monitor and troubleshoot performance bottlenecks in data systems, resolving issues with data processing and data access. Stay current with emerging trends and best practices in data engineering, recommending new tools, technologies, and methods to enhance existing infrastructure. Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment. Education and Background Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 8+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required. Years of Experience 8+ years Required Skills Have active active TS/SCI clearance Minimum of eight years' experience managing digital projects in support of SOF Enteprise customers Preferred Skills Three years experience managing SOF agile development processes Three years experience managing SOF Data Operations processes and procedures Three years experience managing SOF digital support request requirements, translating them from customer requests to assigning customer and digital support teams Working Conditions General Office Environment Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 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.
10/26/2026
Full time
Job Description Job Description About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests. Requisition #: 1700 Job Title: Data Operations Technical Lead Location: MacDill AFB, FL Clearance Level: Top Secret / SCI, Must Have Clearance to Start Job Description The contractor shall identify a Data Operations Technical Lead by name who shall deliver the foundational data infrastructure necessary to transform SOF Enterprise data into a critical strategic asset. This individual will ensure comprehensive data and engineering management, data quality and resource management providing scalable systems and reliable infrastructure essential for integrating advanced analytics and effective Artificial Intelligence solutions, significantly enhancing data-driving decision-making across all warfighting functions. Job Duties: Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses, data lakes, and other storage systems. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data across various platforms and systems. Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming). Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and capable of handling increasing data volumes. Oversee the development of data models and schema designs to ensure accurate, accessible, and high-performance data storage for analytics and reporting. Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms. Monitor and troubleshoot performance bottlenecks in data systems, resolving issues with data processing and data access. Stay current with emerging trends and best practices in data engineering, recommending new tools, technologies, and methods to enhance existing infrastructure. Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment. Education and Background Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 8+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required. Years of Experience 8+ years Required Skills Have active active TS/SCI clearance Minimum of eight years' experience managing digital projects in support of SOF Enteprise customers Preferred Skills Three years experience managing SOF agile development processes Three years experience managing SOF Data Operations processes and procedures Three years experience managing SOF digital support request requirements, translating them from customer requests to assigning customer and digital support teams Working Conditions General Office Environment Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 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.
Job Description Job Description Company Summary EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Wireless Technology team is pioneering the future of connectivity. We're developing and enhancing a unique hybrid network model-combining our advanced, cloud-native 5G core with the nationwide reach of our partners. This approach ensures our network is flexible and powerful, designed to satisfy the social, economic, and transformative needs of the changing world. Job Duties and Responsibilities Establish and maintain corporate data model design principles; integrating Kimball and Inmon methodologies with Medallion Lakehouse patterns to deliver performant data assets Architect scalable frameworks and storage tiering to support AI initiatives; including vector databases, Retrieval-Augmented Generation (RAG), and enterprise semantic layers Lead efforts in optimizing query execution, cluster compute, and cloud warehouse costs across enterprise platforms Partner with enterprise architects, data engineering, and business analysis teams to enforce data governance standards and execute data SDLC phases Define data integration solutions and mitigate infrastructure risks to deliver scalable, highly available enterprise data architecture Skills, Experience and Requirements Advanced AI Application expertise; leveraging unstructured data frameworks, vector databases, and Retrieval-Augmented Generation (RAG) within modern data architectures Critical experience in designing multi-tier enterprise data structures, Medallion patterns, and high-performance data lakehouse architectures Strong skills in data modeling, schema design, and versioning within multi-modeler repository environments Critical experience in cloud warehouse cost optimization, cluster compute tuning, and query performance enhancement Expertise in data governance, fine-grained access control (ABAC), data lineage, and compliance standards such as CPNI, CCPA, and SOC2 Exceptional problem solving, collaboration, and cross-functional decision-making capabilities across technical and business stakeholders Additional Qualifications: Preferred industry certifications including Snowflake Certified Architect, Databricks Professional, or AWS Data Engineer Candidates must be willing to participate in at least one in-person interview. Minimum Requirements: Minimum Education: Bachelor's degree in a technical discipline, preferably in Computer Science or Software Engineering, or equivalent combination of education and experience Minimum Experience: 10 years of continuous data architecture and data modeling experience; with at least 3 recent years leading primary data architecture design and implementation in a VLDB / MPP environment Required Technical Skills: 2 years of experience with Azure, AWS, or GCP cloud environments 1 year of experience with Databricks & Genie and/or Snowflake & Cortex 1 year of experience with orchestration tools such as Apache Airflow or Control-M Visa sponsorship not available for this position Benefits We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment 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 protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
10/26/2026
Full time
Job Description Job Description Company Summary EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Wireless Technology team is pioneering the future of connectivity. We're developing and enhancing a unique hybrid network model-combining our advanced, cloud-native 5G core with the nationwide reach of our partners. This approach ensures our network is flexible and powerful, designed to satisfy the social, economic, and transformative needs of the changing world. Job Duties and Responsibilities Establish and maintain corporate data model design principles; integrating Kimball and Inmon methodologies with Medallion Lakehouse patterns to deliver performant data assets Architect scalable frameworks and storage tiering to support AI initiatives; including vector databases, Retrieval-Augmented Generation (RAG), and enterprise semantic layers Lead efforts in optimizing query execution, cluster compute, and cloud warehouse costs across enterprise platforms Partner with enterprise architects, data engineering, and business analysis teams to enforce data governance standards and execute data SDLC phases Define data integration solutions and mitigate infrastructure risks to deliver scalable, highly available enterprise data architecture Skills, Experience and Requirements Advanced AI Application expertise; leveraging unstructured data frameworks, vector databases, and Retrieval-Augmented Generation (RAG) within modern data architectures Critical experience in designing multi-tier enterprise data structures, Medallion patterns, and high-performance data lakehouse architectures Strong skills in data modeling, schema design, and versioning within multi-modeler repository environments Critical experience in cloud warehouse cost optimization, cluster compute tuning, and query performance enhancement Expertise in data governance, fine-grained access control (ABAC), data lineage, and compliance standards such as CPNI, CCPA, and SOC2 Exceptional problem solving, collaboration, and cross-functional decision-making capabilities across technical and business stakeholders Additional Qualifications: Preferred industry certifications including Snowflake Certified Architect, Databricks Professional, or AWS Data Engineer Candidates must be willing to participate in at least one in-person interview. Minimum Requirements: Minimum Education: Bachelor's degree in a technical discipline, preferably in Computer Science or Software Engineering, or equivalent combination of education and experience Minimum Experience: 10 years of continuous data architecture and data modeling experience; with at least 3 recent years leading primary data architecture design and implementation in a VLDB / MPP environment Required Technical Skills: 2 years of experience with Azure, AWS, or GCP cloud environments 1 year of experience with Databricks & Genie and/or Snowflake & Cortex 1 year of experience with orchestration tools such as Apache Airflow or Control-M Visa sponsorship not available for this position Benefits We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment 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 protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
Johnson Health Tech Companies
Cottage Grove, Wisconsin
Job Description Job Description Description: Who We Are Johnson Health Tech is one of the world's largest and fastest-growing fitness equipment manufacturers, delivering innovative solutions that help people live healthier lives. Through our award-winning portfolio of commercial and residential brands, we serve customers in more than 60 countries worldwide. Mission Statement To delight and excite our customers through truly innovative products, unsurpassed quality, and best-in-class customer experience provided by a world-class organization. Position Overview The Principal Enterprise Data Architect is the senior technical leader responsible for the architecture, design, implementation, and continued evolution of Johnson Health Tech's global enterprise data environment. This role leads the technical design of the company's Databricks-based data platform, including integration, transformation, governance, and delivery of data from SAP, Microsoft Dynamics CRM, e-commerce, operational, third-party, and other enterprise data sources. This senior individual contributor role establishes the patterns and technical standards through which data moves across the organization, translating complex business and technology requirements into scalable, maintainable solutions while partnering with global IT, data engineering, analytics, infrastructure, security, application, and business teams. Responsibilities Enterprise Data Architecture Define and maintain the technical architecture for Johnson Health Tech's global enterprise data environment, including the Databricks lakehouse platform and supporting cloud, integration, and data-processing components. Establish scalable architectural patterns and ensure architecture decisions support performance, scalability, reliability, security, maintainability, cost effectiveness, and appropriate emerging technology improvements. Data Engineering and Integration Lead the technical design and implementation of ETL and ELT pipelines connecting SAP, Microsoft Dynamics CRM, e-commerce systems, operational applications, external platforms, and other enterprise data sources. Establish reusable integration frameworks, ingestion patterns, and data-processing standards using SQL, Python, Databricks, Spark, APIs, and other integration technologies, and resolve data-platform performance, scalability, and reliability issues. Data Modeling and Platform Design Define enterprise data-modeling standards across raw, curated, analytical, and consumption-ready data layers. Design data structures that support reporting, analytics, data science, artificial intelligence, operational applications, and business planning, while promoting modular, reusable, testable, and consistent data-engineering practices. Technical Leadership and Standards Serve as the senior technical authority for enterprise data architecture and data engineering. Establish and document architecture principles, development standards, naming conventions, integration patterns, and technical guardrails while providing guidance for complex data initiatives and critical platform components. Global Enablement and Knowledge Transfer Develop technical frameworks, documentation, reference architectures, and training materials required for global adoption of the data platform. Train and mentor regional technology teams to implement, operate, and extend the enterprise data environment within established architectural standards and local requirements. Data Quality, Governance, Security, and Reliability Incorporate data quality, lineage, observability, reconciliation, error handling, monitoring, and platform-performance requirements into platform and pipeline designs. Partner with data governance, cybersecurity, infrastructure, and application teams to ensure appropriate access controls, protection of sensitive data, and compliance with applicable privacy, security, retention, deployment, testing, release-management, disaster recovery, and business continuity requirements. Collaboration and Enterprise Influence Collaborate with enterprise application teams responsible for SAP, Dynamics CRM, e-commerce, manufacturing, logistics, finance, product, customer, and other operational systems, translating business requirements into actionable technical designs. Communicate complex technical decisions clearly, identify architectural risks and dependencies, influence technical decisions across teams, and partner with external vendors while maintaining ownership of the company's architecture and technical standards. Marginal Job Functions Other projects as needed. Requirements: Education Bachelor's degree in computer science, information systems, engineering, data management, or related field, or equivalent professional experience. Master's degree is preferred. Experience At least 15 years of progressive experience in data architecture, data engineering, enterprise integration, software engineering, or related technical disciplines. Extensive experience designing and implementing enterprise-scale data platforms. Demonstrated experience serving as a senior architect, principal engineer, technical lead, or equivalent enterprise technical authority. Other Requirements Expert-level SQL skills and advanced proficiency in Python for data engineering, automation, integration, platform development, and ETL/ELT pipelines for large and complex enterprise data sets. Deep experience with Databricks, Apache Spark, Delta Lake, lakehouse architecture, data modeling, data warehousing, dimensional design, data lakes, and analytical data structures. Experience integrating ERP, CRM, e-commerce, manufacturing, financial, logistics, or other enterprise applications, including SAP, Microsoft Dynamics CRM, APIs, file-transfer methods, database connectivity, message-based integration, and cloud data-integration patterns. Experience with source control, automated deployment, testing, monitoring, modern software development practices, documentation, and repeatable technical standards. Bonus Qualifications Experience with Microsoft Azure, Amazon Web Services, hybrid cloud environments, Databricks Unity Catalog, governance, security, lineage, orchestration, and platform administration. Experience with Power BI, Tableau, data-product, data-mesh, domain-oriented, or federated data-architecture concepts. Experience with change data capture, event streaming, message queues, real-time data processing, DevOps, DataOps practices, and global enterprise environments with multinational deployment requirements. Physical Requirements/Work Environment Physical Requirements While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or touch objects, tools, or controls, and frequently required to talk or hear. The employee is occasionally required to stand, walk, reach above the shoulders, stoop, kneel, or crouch, and must occasionally lift and/or move up to 20 pounds. Specific vision abilities include close vision and the ability to adjust focus. Work Environment This position will require working on-site. Benefits & Perks Medical, dental, and vision insurance Company-paid life insurance and AD&D coverage 401(k) retirement savings plan Paid time off (PTO) FSA and HSA options Employee product discounts, wellness resources, and employee assistance programs Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.
10/26/2026
Full time
Job Description Job Description Description: Who We Are Johnson Health Tech is one of the world's largest and fastest-growing fitness equipment manufacturers, delivering innovative solutions that help people live healthier lives. Through our award-winning portfolio of commercial and residential brands, we serve customers in more than 60 countries worldwide. Mission Statement To delight and excite our customers through truly innovative products, unsurpassed quality, and best-in-class customer experience provided by a world-class organization. Position Overview The Principal Enterprise Data Architect is the senior technical leader responsible for the architecture, design, implementation, and continued evolution of Johnson Health Tech's global enterprise data environment. This role leads the technical design of the company's Databricks-based data platform, including integration, transformation, governance, and delivery of data from SAP, Microsoft Dynamics CRM, e-commerce, operational, third-party, and other enterprise data sources. This senior individual contributor role establishes the patterns and technical standards through which data moves across the organization, translating complex business and technology requirements into scalable, maintainable solutions while partnering with global IT, data engineering, analytics, infrastructure, security, application, and business teams. Responsibilities Enterprise Data Architecture Define and maintain the technical architecture for Johnson Health Tech's global enterprise data environment, including the Databricks lakehouse platform and supporting cloud, integration, and data-processing components. Establish scalable architectural patterns and ensure architecture decisions support performance, scalability, reliability, security, maintainability, cost effectiveness, and appropriate emerging technology improvements. Data Engineering and Integration Lead the technical design and implementation of ETL and ELT pipelines connecting SAP, Microsoft Dynamics CRM, e-commerce systems, operational applications, external platforms, and other enterprise data sources. Establish reusable integration frameworks, ingestion patterns, and data-processing standards using SQL, Python, Databricks, Spark, APIs, and other integration technologies, and resolve data-platform performance, scalability, and reliability issues. Data Modeling and Platform Design Define enterprise data-modeling standards across raw, curated, analytical, and consumption-ready data layers. Design data structures that support reporting, analytics, data science, artificial intelligence, operational applications, and business planning, while promoting modular, reusable, testable, and consistent data-engineering practices. Technical Leadership and Standards Serve as the senior technical authority for enterprise data architecture and data engineering. Establish and document architecture principles, development standards, naming conventions, integration patterns, and technical guardrails while providing guidance for complex data initiatives and critical platform components. Global Enablement and Knowledge Transfer Develop technical frameworks, documentation, reference architectures, and training materials required for global adoption of the data platform. Train and mentor regional technology teams to implement, operate, and extend the enterprise data environment within established architectural standards and local requirements. Data Quality, Governance, Security, and Reliability Incorporate data quality, lineage, observability, reconciliation, error handling, monitoring, and platform-performance requirements into platform and pipeline designs. Partner with data governance, cybersecurity, infrastructure, and application teams to ensure appropriate access controls, protection of sensitive data, and compliance with applicable privacy, security, retention, deployment, testing, release-management, disaster recovery, and business continuity requirements. Collaboration and Enterprise Influence Collaborate with enterprise application teams responsible for SAP, Dynamics CRM, e-commerce, manufacturing, logistics, finance, product, customer, and other operational systems, translating business requirements into actionable technical designs. Communicate complex technical decisions clearly, identify architectural risks and dependencies, influence technical decisions across teams, and partner with external vendors while maintaining ownership of the company's architecture and technical standards. Marginal Job Functions Other projects as needed. Requirements: Education Bachelor's degree in computer science, information systems, engineering, data management, or related field, or equivalent professional experience. Master's degree is preferred. Experience At least 15 years of progressive experience in data architecture, data engineering, enterprise integration, software engineering, or related technical disciplines. Extensive experience designing and implementing enterprise-scale data platforms. Demonstrated experience serving as a senior architect, principal engineer, technical lead, or equivalent enterprise technical authority. Other Requirements Expert-level SQL skills and advanced proficiency in Python for data engineering, automation, integration, platform development, and ETL/ELT pipelines for large and complex enterprise data sets. Deep experience with Databricks, Apache Spark, Delta Lake, lakehouse architecture, data modeling, data warehousing, dimensional design, data lakes, and analytical data structures. Experience integrating ERP, CRM, e-commerce, manufacturing, financial, logistics, or other enterprise applications, including SAP, Microsoft Dynamics CRM, APIs, file-transfer methods, database connectivity, message-based integration, and cloud data-integration patterns. Experience with source control, automated deployment, testing, monitoring, modern software development practices, documentation, and repeatable technical standards. Bonus Qualifications Experience with Microsoft Azure, Amazon Web Services, hybrid cloud environments, Databricks Unity Catalog, governance, security, lineage, orchestration, and platform administration. Experience with Power BI, Tableau, data-product, data-mesh, domain-oriented, or federated data-architecture concepts. Experience with change data capture, event streaming, message queues, real-time data processing, DevOps, DataOps practices, and global enterprise environments with multinational deployment requirements. Physical Requirements/Work Environment Physical Requirements While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or touch objects, tools, or controls, and frequently required to talk or hear. The employee is occasionally required to stand, walk, reach above the shoulders, stoop, kneel, or crouch, and must occasionally lift and/or move up to 20 pounds. Specific vision abilities include close vision and the ability to adjust focus. Work Environment This position will require working on-site. Benefits & Perks Medical, dental, and vision insurance Company-paid life insurance and AD&D coverage 401(k) retirement savings plan Paid time off (PTO) FSA and HSA options Employee product discounts, wellness resources, and employee assistance programs Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.
Job Description Job Description Data Architect / Engineer Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB) specializing in management and technology consulting for Federal Government modernization. We provide tailored solutions in Program & Project Management, Strategic Planning, and IT Operations. Position Overview We are seeking an experienced Data Architect and Lead Data Engineer to define and implement the secure, traceable technical foundation for enterprise performance reporting. This hands-on position owns technical architecture, source-system mapping, canonical data models, physical lineage, integration patterns, ETL pipelines, APIs, and operational controls. The successful candidate will lead technical reviews, write and review production code, and submit architecture, security, and deployment decisions for Government review and approval. Key Responsibilities Assess approved source systems and define the supporting data architecture, models, mappings, integration requirements, and technical lineage. Translate approved business measures and user needs into technical requirements, validation rules, and acceptance criteria. Design, develop, deploy, monitor, and troubleshoot secure ETL pipelines and APIs that connect source systems, enterprise data platforms, and business intelligence products. Develop production-quality SQL and application code for data integration, transformation, validation, orchestration, and API services. Apply security, reliability, testing, source-control, configuration-management, deployment, monitoring, and recovery practices throughout the development lifecycle. Lead technical reviews and coordinate architecture, security, integration, and deployment decisions with Government technical authorities and data owners. Required Qualifications Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or another relevant technical field Skills & Competencies: Minimum of 3 years of experience in data architecture, systems integration, data engineering, or a related technical field. Experience designing data architectures, data models, mappings, and integrations across complex source systems. Strong SQL and programming skills, with hands-on experience developing data pipelines, APIs, or other integration solutions. Experience implementing secure data solutions in Federal, regulated, or similarly controlled environments. Familiarity with modern software development practices, including source control, code review, automated testing, deployment, monitoring, and recovery. Ability to translate business needs into technical requirements, resolve complex data and integration issues, and explain technical decisions to technical and nontechnical stakeholders. Preferred Qualifications 5 or more years of relevant experience, including hands-on technical leadership on a Federal data modernization or analytics program. Experience with cloud data platforms, enterprise data warehouses, streaming or event-driven integrations, and business intelligence environments. Experience with PKI, OAuth2, smart-card authentication, and Federal security controls. Experience supporting authorization, assessment, or continuous-monitoring activities for Federal information systems. Preferred Certifications Data architecture, cloud architecture, data engineering, DevSecOps, API, or security certification. Role-based cybersecurity certification or training when required by assigned duties. Clearance: Active Secret Security Clearance. The anticipated annual salary range for this position is $85,030 - $95,020. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data, and applicable contract requirements, and may fall outside the posted range. ThinkTek LLC is proud to be an Equal Opportunity Employer (EOE), making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety of other paid leave options are also available. You can read more about ThinkTek benefits at
10/26/2026
Full time
Job Description Job Description Data Architect / Engineer Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB) specializing in management and technology consulting for Federal Government modernization. We provide tailored solutions in Program & Project Management, Strategic Planning, and IT Operations. Position Overview We are seeking an experienced Data Architect and Lead Data Engineer to define and implement the secure, traceable technical foundation for enterprise performance reporting. This hands-on position owns technical architecture, source-system mapping, canonical data models, physical lineage, integration patterns, ETL pipelines, APIs, and operational controls. The successful candidate will lead technical reviews, write and review production code, and submit architecture, security, and deployment decisions for Government review and approval. Key Responsibilities Assess approved source systems and define the supporting data architecture, models, mappings, integration requirements, and technical lineage. Translate approved business measures and user needs into technical requirements, validation rules, and acceptance criteria. Design, develop, deploy, monitor, and troubleshoot secure ETL pipelines and APIs that connect source systems, enterprise data platforms, and business intelligence products. Develop production-quality SQL and application code for data integration, transformation, validation, orchestration, and API services. Apply security, reliability, testing, source-control, configuration-management, deployment, monitoring, and recovery practices throughout the development lifecycle. Lead technical reviews and coordinate architecture, security, integration, and deployment decisions with Government technical authorities and data owners. Required Qualifications Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or another relevant technical field Skills & Competencies: Minimum of 3 years of experience in data architecture, systems integration, data engineering, or a related technical field. Experience designing data architectures, data models, mappings, and integrations across complex source systems. Strong SQL and programming skills, with hands-on experience developing data pipelines, APIs, or other integration solutions. Experience implementing secure data solutions in Federal, regulated, or similarly controlled environments. Familiarity with modern software development practices, including source control, code review, automated testing, deployment, monitoring, and recovery. Ability to translate business needs into technical requirements, resolve complex data and integration issues, and explain technical decisions to technical and nontechnical stakeholders. Preferred Qualifications 5 or more years of relevant experience, including hands-on technical leadership on a Federal data modernization or analytics program. Experience with cloud data platforms, enterprise data warehouses, streaming or event-driven integrations, and business intelligence environments. Experience with PKI, OAuth2, smart-card authentication, and Federal security controls. Experience supporting authorization, assessment, or continuous-monitoring activities for Federal information systems. Preferred Certifications Data architecture, cloud architecture, data engineering, DevSecOps, API, or security certification. Role-based cybersecurity certification or training when required by assigned duties. Clearance: Active Secret Security Clearance. The anticipated annual salary range for this position is $85,030 - $95,020. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data, and applicable contract requirements, and may fall outside the posted range. ThinkTek LLC is proud to be an Equal Opportunity Employer (EOE), making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety of other paid leave options are also available. You can read more about ThinkTek benefits at
Job Description Job Description The AI/ML Integration Tech Lead bridges long-term strategy, technical execution, and cross-organizational governance to scale AI capabilities across petabyte-scale cyber defense data pipelines. The role drives the evolution of the Defensive Cyberspace Operations (DCO) platform, establishing robust agentic frameworks, rigorous harness evaluations, and secure lifecycle governance across operational mission systems. Beyond primary program delivery, position will also provide support to corporate AI initiatives, applying technical expertise to support 1-2 corporate initiatives per year. Key Responsibilities - Strategic & Architectural Leadership Long-Term Vision: Define the multi-year AI/ML technical roadmap to transition petabyte-scale cyber data (logs, network telemetry, threat intelligence) from passive monitoring to real-time predictive defense. Architecture Oversight: Architect scalable, low-latency machine learning pipelines (real-time streaming and batch) capable of handling massive telemetry throughput for threat detection, anomaly scoring, and automated incident response. Prototyping & Innovation: Rapidly prototype novel AI/ML concepts, custom models, and agentic workflows to validate emerging defense capabilities before operational scaling. Agentic Architecture & Harness Assessment: Maintain deep technical mastery of emerging agentic workflows, multi-agent patterns, orchestration mechanisms, memory boundaries, and tool-use execution harnesses. Assess commercial and open-source agentic solutions for operational viability, architectural feasibility, systemic risk, and scalability within Defensive Cyberspace Operations (DCO) mission workflows, ensuring deterministic controls and human-in-the-loop oversight are preserved. Vendor Evaluation & Product Integration Market Evaluation: Conduct technical assessments of 3rd-party vendor products, evaluation of model performance (precision/recall on cyber data), and bench-testing in sandbox environments. Integration Engineering: Design standard integration hooks, APIs, and data ingestion paths to safely dock vendor applications directly into the core big data infrastructure. DCO Platform Integration & Agentic Evaluation: Define architectural, interface, telemetry, identity, and access-control requirements for integrating AI/ML and agentic capabilities into the DCO Platform, Big Data Platform, and SOC/SIEM/SOAR pipelines. Establish rigorous evaluation criteria and test harness standards to benchmark model groundedness, tool-use reliability, latency, resource consumption, fail-safe isolation, and verifiable audit logging. Product Testing: Establish rigorous testing protocols to validate vendor claims regarding accuracy, resource consumption, and false-positive rates under actual operational data loads. Security, Compliance & Authorization (ATO) ATO Process Management: Lead technical documentation, security controls implementation, and threat modeling required to navigate the Authority to Operate (ATO) process for new AI models and software. Data & Model Security: Enforce secure AI practices across data pipelines, including data anonymization, model robustness testing (protection against adversarial manipulation), and access controls. AI/Agent Security & Lifecycle Governance: Establish system security, compliance, and risk-mitigation requirements for AI models, prompts, retrieval stores, orchestration logic, and external tool integrations. Define defenses against prompt injection, retrieval poisoning, data tampering, configuration drift, and model supply-chain vulnerabilities, while governing configuration management, auditing, and retirement standards consistent with DoD AI Ethics and RMF protocols. Pipeline Integration: Partner with security engineers to integrate real-time model inference safely into existing Security Operations Center (SOC) workflows and SIEM/SOAR platforms Stakeholder Alignment & Requirement Engineering Cross-Organizational Coordination: Serve as the primary technical liaison between cyber analysts, data platform teams, leadership, and external partners. Requirement Translation: Translate high-level operational security needs (e.g., reducing analyst triage fatigue, detecting zero-day threats) into clear data architecture and machine learning technical requirements. DCO Mission Translation & Technical Advisory: Translate operational DCO mission objectives and analyst workflows into technical specifications for AI/ML and agentic integrations, data readiness, and verification guardrails. Serve as primary technical advisor to leadership, cyber operators, and external vendors regarding architectural fit, operational utility, system boundaries, and mission risk. Required Qualifications 8+ years of relevant experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) Demonstrated ability to design, build, and deliver production ML models and components at scale that solve real-world operational problems in collaboration with cross-functional engineering teams. Strong engineering and problem-solving skills with demonstrated capability to retrain, maintain, and monitor models in production environments. Strong consulting skills, with the ability to advise Government leadership on whether 3rd-party vendor platforms and delivered code are "fit for purpose." Demonstrated technical understanding of AI/ML architectures, agentic frameworks, execution harnesses, LLMOps, AI security vectors, and integration standards for secure enterprise environments. Track record of ensuring code is well-managed to reduce vulnerabilities and models are governed from a risk perspective; proficiency in programming languages such as Python, Scala, or Java. Proven ability to mentor and coach junior engineers and technical staff with delivery tasks. Self-motivated, with the ability to work effectively both independently and in a team environment Preferred Qualifications Certifications in Machine Learning / Artificial Intelligence / Data Science Familiarity with agile development methodologies and CI/CD pipelines in DoD environments. 5-8 years of experience in an ML/AI development and/or technical leadership role. Direct experience assessing, piloting, or integrating AI/ML and agentic capabilities with cyber-defense platforms, security telemetry, SIEM/SOAR workflows, or related DoD/IC mission systems. Education: Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field from accredited institution or Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field from accredited institution. Clearance: US Citizenship and an Active Top Secret Security Clearance - Mandatory Salary: $155,000 - $225,000 About Metric5 Metric5 is a small business with big company benefits. We have a passionate team of smart, fun, caring professionals, and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package, continuous professional development, with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals. Our benefits include: Health & Dental Insurance with 100% of individual coverage paid for by the company Vision Insurance Life & Short Term Disability Insurance 401k with company match (employees are immediately vested) Paid Vacation 9 Paid Holidays per year (plus 2 paid floating holidays) Parental Leave Employee Bonuses Professional Development Reimbursement Program Tuition Assistance Program Metric5 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.
10/26/2026
Full time
Job Description Job Description The AI/ML Integration Tech Lead bridges long-term strategy, technical execution, and cross-organizational governance to scale AI capabilities across petabyte-scale cyber defense data pipelines. The role drives the evolution of the Defensive Cyberspace Operations (DCO) platform, establishing robust agentic frameworks, rigorous harness evaluations, and secure lifecycle governance across operational mission systems. Beyond primary program delivery, position will also provide support to corporate AI initiatives, applying technical expertise to support 1-2 corporate initiatives per year. Key Responsibilities - Strategic & Architectural Leadership Long-Term Vision: Define the multi-year AI/ML technical roadmap to transition petabyte-scale cyber data (logs, network telemetry, threat intelligence) from passive monitoring to real-time predictive defense. Architecture Oversight: Architect scalable, low-latency machine learning pipelines (real-time streaming and batch) capable of handling massive telemetry throughput for threat detection, anomaly scoring, and automated incident response. Prototyping & Innovation: Rapidly prototype novel AI/ML concepts, custom models, and agentic workflows to validate emerging defense capabilities before operational scaling. Agentic Architecture & Harness Assessment: Maintain deep technical mastery of emerging agentic workflows, multi-agent patterns, orchestration mechanisms, memory boundaries, and tool-use execution harnesses. Assess commercial and open-source agentic solutions for operational viability, architectural feasibility, systemic risk, and scalability within Defensive Cyberspace Operations (DCO) mission workflows, ensuring deterministic controls and human-in-the-loop oversight are preserved. Vendor Evaluation & Product Integration Market Evaluation: Conduct technical assessments of 3rd-party vendor products, evaluation of model performance (precision/recall on cyber data), and bench-testing in sandbox environments. Integration Engineering: Design standard integration hooks, APIs, and data ingestion paths to safely dock vendor applications directly into the core big data infrastructure. DCO Platform Integration & Agentic Evaluation: Define architectural, interface, telemetry, identity, and access-control requirements for integrating AI/ML and agentic capabilities into the DCO Platform, Big Data Platform, and SOC/SIEM/SOAR pipelines. Establish rigorous evaluation criteria and test harness standards to benchmark model groundedness, tool-use reliability, latency, resource consumption, fail-safe isolation, and verifiable audit logging. Product Testing: Establish rigorous testing protocols to validate vendor claims regarding accuracy, resource consumption, and false-positive rates under actual operational data loads. Security, Compliance & Authorization (ATO) ATO Process Management: Lead technical documentation, security controls implementation, and threat modeling required to navigate the Authority to Operate (ATO) process for new AI models and software. Data & Model Security: Enforce secure AI practices across data pipelines, including data anonymization, model robustness testing (protection against adversarial manipulation), and access controls. AI/Agent Security & Lifecycle Governance: Establish system security, compliance, and risk-mitigation requirements for AI models, prompts, retrieval stores, orchestration logic, and external tool integrations. Define defenses against prompt injection, retrieval poisoning, data tampering, configuration drift, and model supply-chain vulnerabilities, while governing configuration management, auditing, and retirement standards consistent with DoD AI Ethics and RMF protocols. Pipeline Integration: Partner with security engineers to integrate real-time model inference safely into existing Security Operations Center (SOC) workflows and SIEM/SOAR platforms Stakeholder Alignment & Requirement Engineering Cross-Organizational Coordination: Serve as the primary technical liaison between cyber analysts, data platform teams, leadership, and external partners. Requirement Translation: Translate high-level operational security needs (e.g., reducing analyst triage fatigue, detecting zero-day threats) into clear data architecture and machine learning technical requirements. DCO Mission Translation & Technical Advisory: Translate operational DCO mission objectives and analyst workflows into technical specifications for AI/ML and agentic integrations, data readiness, and verification guardrails. Serve as primary technical advisor to leadership, cyber operators, and external vendors regarding architectural fit, operational utility, system boundaries, and mission risk. Required Qualifications 8+ years of relevant experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) Demonstrated ability to design, build, and deliver production ML models and components at scale that solve real-world operational problems in collaboration with cross-functional engineering teams. Strong engineering and problem-solving skills with demonstrated capability to retrain, maintain, and monitor models in production environments. Strong consulting skills, with the ability to advise Government leadership on whether 3rd-party vendor platforms and delivered code are "fit for purpose." Demonstrated technical understanding of AI/ML architectures, agentic frameworks, execution harnesses, LLMOps, AI security vectors, and integration standards for secure enterprise environments. Track record of ensuring code is well-managed to reduce vulnerabilities and models are governed from a risk perspective; proficiency in programming languages such as Python, Scala, or Java. Proven ability to mentor and coach junior engineers and technical staff with delivery tasks. Self-motivated, with the ability to work effectively both independently and in a team environment Preferred Qualifications Certifications in Machine Learning / Artificial Intelligence / Data Science Familiarity with agile development methodologies and CI/CD pipelines in DoD environments. 5-8 years of experience in an ML/AI development and/or technical leadership role. Direct experience assessing, piloting, or integrating AI/ML and agentic capabilities with cyber-defense platforms, security telemetry, SIEM/SOAR workflows, or related DoD/IC mission systems. Education: Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field from accredited institution or Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field from accredited institution. Clearance: US Citizenship and an Active Top Secret Security Clearance - Mandatory Salary: $155,000 - $225,000 About Metric5 Metric5 is a small business with big company benefits. We have a passionate team of smart, fun, caring professionals, and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package, continuous professional development, with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals. Our benefits include: Health & Dental Insurance with 100% of individual coverage paid for by the company Vision Insurance Life & Short Term Disability Insurance 401k with company match (employees are immediately vested) Paid Vacation 9 Paid Holidays per year (plus 2 paid floating holidays) Parental Leave Employee Bonuses Professional Development Reimbursement Program Tuition Assistance Program Metric5 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.
Job Description Job Description Analytica is seeking an experienced Data Architect to design, implement, and optimize enterprise data solutions in support of federal government missions. The Data Architect will play a hands-on role in modernizing data environments, leveraging cloud-native technologies, Databricks, and advanced data engineering frameworks to ensure scalable, secure, and high-performing solutions. This role requires strong expertise in cloud platforms (AWS, Azure, GCP), big data ecosystems, and modern data architecture patterns , along with an ability to translate mission needs into technical solutions. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. Responsibilities include (but not limited to): Design and implement scalable data architectures for structured, semi-structured, and unstructured data. Lead the modernization of legacy data environments into cloud-based, big data platforms . Architect solutions leveraging Databricks, Spark, Delta Lake, and related big data technologies . Define and enforce data governance, data security, and metadata management practices in compliance with federal standards. Collaborate with government stakeholders, program managers, and development teams to ensure alignment with mission objectives. Develop data models, pipelines, APIs, and integration strategies across multiple data sources and platforms. Ensure architectures support analytics, AI/ML, and business intelligence use cases . Mentor data engineers and developers, promoting best practices in coding, design, and performance optimization. Support capture and proposal activities by shaping technical solutions and writing architecture content for bids. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred). 8+ years of experience in data architecture, data engineering, or solution architecture , including at least 3 years with cloud-based solutions. Expertise in Databricks, Apache Spark, Delta Lake , and distributed data processing frameworks. Strong knowledge of AWS (Glue, S3, Redshift, EMR), Azure (Synapse, Data Lake, Purview), or GCP (BigQuery, Dataflow, Dataproc) . Experience designing data lakes, data warehouses, and streaming/real-time data architectures . Familiarity with federal data standards (e.g., FISMA, FedRAMP, CUI handling, data governance frameworks). Proficiency in SQL, Python, and big data query optimization. Must be US Citizen Must be able to obtain and maintain a Public Trust security clearance Preferred: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). Experience supporting federal data modernization, digital transformation, or analytics programs . Familiarity with data governance tools (Collibra, Alation, Informatica, Purview). Exposure to AI/ML pipelines and MLOps in cloud environments About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award winning SBA 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. Application Review: AI tools may help identify skills and experiences relevant to the role. Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. Powered by JazzHR 9lT172sxyp
10/26/2026
Full time
Job Description Job Description Analytica is seeking an experienced Data Architect to design, implement, and optimize enterprise data solutions in support of federal government missions. The Data Architect will play a hands-on role in modernizing data environments, leveraging cloud-native technologies, Databricks, and advanced data engineering frameworks to ensure scalable, secure, and high-performing solutions. This role requires strong expertise in cloud platforms (AWS, Azure, GCP), big data ecosystems, and modern data architecture patterns , along with an ability to translate mission needs into technical solutions. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. Responsibilities include (but not limited to): Design and implement scalable data architectures for structured, semi-structured, and unstructured data. Lead the modernization of legacy data environments into cloud-based, big data platforms . Architect solutions leveraging Databricks, Spark, Delta Lake, and related big data technologies . Define and enforce data governance, data security, and metadata management practices in compliance with federal standards. Collaborate with government stakeholders, program managers, and development teams to ensure alignment with mission objectives. Develop data models, pipelines, APIs, and integration strategies across multiple data sources and platforms. Ensure architectures support analytics, AI/ML, and business intelligence use cases . Mentor data engineers and developers, promoting best practices in coding, design, and performance optimization. Support capture and proposal activities by shaping technical solutions and writing architecture content for bids. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred). 8+ years of experience in data architecture, data engineering, or solution architecture , including at least 3 years with cloud-based solutions. Expertise in Databricks, Apache Spark, Delta Lake , and distributed data processing frameworks. Strong knowledge of AWS (Glue, S3, Redshift, EMR), Azure (Synapse, Data Lake, Purview), or GCP (BigQuery, Dataflow, Dataproc) . Experience designing data lakes, data warehouses, and streaming/real-time data architectures . Familiarity with federal data standards (e.g., FISMA, FedRAMP, CUI handling, data governance frameworks). Proficiency in SQL, Python, and big data query optimization. Must be US Citizen Must be able to obtain and maintain a Public Trust security clearance Preferred: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). Experience supporting federal data modernization, digital transformation, or analytics programs . Familiarity with data governance tools (Collibra, Alation, Informatica, Purview). Exposure to AI/ML pipelines and MLOps in cloud environments About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award winning SBA 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. Application Review: AI tools may help identify skills and experiences relevant to the role. Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. Powered by JazzHR 9lT172sxyp
Job Description Job Description ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions-from our physical units in the field to a powerful Agentic AI platform-that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it. We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it. A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and on the Inc. 5000 Rocky Mountain Regional list for 2025. Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025 , and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024. Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE At LVT, application security isn't an internal formality or a late-stage gate. We run a multi-tenant cloud platform, AI-driven video analytics, and license plate recognition pipelines, and we deploy thousands of solar-powered units everywhere from remote utility sites to busy retail parking lots, where anyone can walk up and touch the hardware. A tenant isolation bug, an unsigned firmware update, or a flaw in our analytics isn't just a ticket. It's a customer incident, a potential public headline, and a threat to public trust. We don't block innovation; we make high-speed execution safe. We are seeking a Senior Manager, Application Security to own product security end-to-end across LVT's physical and digital architecture. This is a player-coach role: you will manage and mentor our existing application security engineers, hire 1-2 additional security engineers, and launch a Security Champions program across product teams. Reporting to our Director, Security Engineering, you will earn a standing seat in product and engineering planning, frame risk so clearly that engineering leaders take ownership of it, and design guardrails that make the secure path the easiest path. If you'd rather build the program than police it, this role offers direct organizational impact. This role is based full-time in-office out of our Headquarters in American Fork, Utah. ROLE RESPONSIBILITIES Team Leadership: Directly manage and mentor current AppSec engineers, hire and onboard 1-2 security engineers, and launch a cross-functional Security Champions program that scales your impact across every engineering squad. Product Security Ownership: Set the architecture and standards for LVT's full attack surface, from our multi-tenant cloud platform and partner APIs to mobile clients, computer vision pipelines, and solar-powered edge firmware. Engineering Partnership: Hold a standing seat in product design and planning, turning security risks into prioritized backlog items that engineering teams own and ship. Threat Modeling at Scale: Make threat modeling a core muscle that engineering squads run independently. Train teams on the fundamentals while staying hands-on for high-stakes system designs and edge/hardware boundaries. Tenant Isolation: Define, enforce, and test tenant boundaries across all platform services, deploying automated checks so cross-tenant data leaks never reach production. Secure SDLC Automation: Build security into CI/CD pipelines as code (SAST, SCA, secrets detection, IaC policy), delivering developer feedback in minutes, not sprints, with low noise and clear build-break rules. Edge & Firmware Security: Partner with hardware and embedded teams on device boot security, signed OTA update pipelines, edge credential management, and threat models that assume physical access. AI/ML & Analytics Security: Safeguard our AI vision models, prompt boundaries, and data pipelines against abuse, keeping privacy-by-design at the forefront in a regulated and publicly scrutinized space. AI-Assisted Development Standards: Define guardrails for how LVT engineers use AI coding agents, ensuring AI-generated code meets our standards for safety, testing, and architecture. Compliance as Engineering Artifacts: Turn real product security controls into audit evidence for SOC 2, GovRAMP, FedRAMP, and CJIS through native engineering workflows instead of manual compliance exercises. Incident Response & Disclosure: Oversee external vulnerability intake, triage, and coordinated disclosure (VDP/bug bounty), and lead engineering response to product security incidents. Observability & Systemic Defenses: Partner with SecOps to instrument telemetry for authorization failures and edge abuse, turning incident learnings into root-cause controls. OUR IDEAL CANDIDATE The Player-Coach Mindset: 10+ years in AppSec or product security, including significant time as a hands-on engineer and 4+ years as a people manager or formal technical lead. You still read code, build automation, and hold your own in architecture reviews with principal engineers. Engineering Empathy: You know what it takes to ship software. You've carried a pager, hit deadlines, or maintained a release pipeline. You understand why shortcuts happen and spend your political capital wisely. Cross-Functional Influencer: You can point to releases or system architectures that changed because of an argument you made, and explain how you earned buy-in without pulling rank. Cloud & SaaS Depth: Deep technical grounding in multi-tenant authorization, zero-trust architectures, and API security at scale. Tooling & Code Fluency: Fluent in at least one language in our stack (e.g., Python, Go, TypeScript/Node, C/C++), with the ability to write custom automation, tooling, and CI integrations. Hardware & Firmware Exposure: Familiarity with IoT, embedded platforms, hardware security modules, or OTA update validation, or a proven ability to master physical attack surfaces quickly. AI/ML Security Literate: Understanding of model supply chain risks, data handling during inference, and security reviews for AI-augmented features. Metrics-Driven: You know the difference between a tool and a program. You measure success by coverage, adoption, defect recurrence, and remediation velocity. Location: Based onsite out of our headquarters in American Fork, Utah. Bonus Points: Experience in video streaming, computer vision, or physical safety products; hands-on work in regulated spaces (FedRAMP, GovRAMP, StateRAMP, CJIS); a track record scaling a formal Security Champions program or running a VDP/bug bounty. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO. LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.
10/19/2026
Full time
Job Description Job Description ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions-from our physical units in the field to a powerful Agentic AI platform-that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it. We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it. A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and on the Inc. 5000 Rocky Mountain Regional list for 2025. Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025 , and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024. Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE At LVT, application security isn't an internal formality or a late-stage gate. We run a multi-tenant cloud platform, AI-driven video analytics, and license plate recognition pipelines, and we deploy thousands of solar-powered units everywhere from remote utility sites to busy retail parking lots, where anyone can walk up and touch the hardware. A tenant isolation bug, an unsigned firmware update, or a flaw in our analytics isn't just a ticket. It's a customer incident, a potential public headline, and a threat to public trust. We don't block innovation; we make high-speed execution safe. We are seeking a Senior Manager, Application Security to own product security end-to-end across LVT's physical and digital architecture. This is a player-coach role: you will manage and mentor our existing application security engineers, hire 1-2 additional security engineers, and launch a Security Champions program across product teams. Reporting to our Director, Security Engineering, you will earn a standing seat in product and engineering planning, frame risk so clearly that engineering leaders take ownership of it, and design guardrails that make the secure path the easiest path. If you'd rather build the program than police it, this role offers direct organizational impact. This role is based full-time in-office out of our Headquarters in American Fork, Utah. ROLE RESPONSIBILITIES Team Leadership: Directly manage and mentor current AppSec engineers, hire and onboard 1-2 security engineers, and launch a cross-functional Security Champions program that scales your impact across every engineering squad. Product Security Ownership: Set the architecture and standards for LVT's full attack surface, from our multi-tenant cloud platform and partner APIs to mobile clients, computer vision pipelines, and solar-powered edge firmware. Engineering Partnership: Hold a standing seat in product design and planning, turning security risks into prioritized backlog items that engineering teams own and ship. Threat Modeling at Scale: Make threat modeling a core muscle that engineering squads run independently. Train teams on the fundamentals while staying hands-on for high-stakes system designs and edge/hardware boundaries. Tenant Isolation: Define, enforce, and test tenant boundaries across all platform services, deploying automated checks so cross-tenant data leaks never reach production. Secure SDLC Automation: Build security into CI/CD pipelines as code (SAST, SCA, secrets detection, IaC policy), delivering developer feedback in minutes, not sprints, with low noise and clear build-break rules. Edge & Firmware Security: Partner with hardware and embedded teams on device boot security, signed OTA update pipelines, edge credential management, and threat models that assume physical access. AI/ML & Analytics Security: Safeguard our AI vision models, prompt boundaries, and data pipelines against abuse, keeping privacy-by-design at the forefront in a regulated and publicly scrutinized space. AI-Assisted Development Standards: Define guardrails for how LVT engineers use AI coding agents, ensuring AI-generated code meets our standards for safety, testing, and architecture. Compliance as Engineering Artifacts: Turn real product security controls into audit evidence for SOC 2, GovRAMP, FedRAMP, and CJIS through native engineering workflows instead of manual compliance exercises. Incident Response & Disclosure: Oversee external vulnerability intake, triage, and coordinated disclosure (VDP/bug bounty), and lead engineering response to product security incidents. Observability & Systemic Defenses: Partner with SecOps to instrument telemetry for authorization failures and edge abuse, turning incident learnings into root-cause controls. OUR IDEAL CANDIDATE The Player-Coach Mindset: 10+ years in AppSec or product security, including significant time as a hands-on engineer and 4+ years as a people manager or formal technical lead. You still read code, build automation, and hold your own in architecture reviews with principal engineers. Engineering Empathy: You know what it takes to ship software. You've carried a pager, hit deadlines, or maintained a release pipeline. You understand why shortcuts happen and spend your political capital wisely. Cross-Functional Influencer: You can point to releases or system architectures that changed because of an argument you made, and explain how you earned buy-in without pulling rank. Cloud & SaaS Depth: Deep technical grounding in multi-tenant authorization, zero-trust architectures, and API security at scale. Tooling & Code Fluency: Fluent in at least one language in our stack (e.g., Python, Go, TypeScript/Node, C/C++), with the ability to write custom automation, tooling, and CI integrations. Hardware & Firmware Exposure: Familiarity with IoT, embedded platforms, hardware security modules, or OTA update validation, or a proven ability to master physical attack surfaces quickly. AI/ML Security Literate: Understanding of model supply chain risks, data handling during inference, and security reviews for AI-augmented features. Metrics-Driven: You know the difference between a tool and a program. You measure success by coverage, adoption, defect recurrence, and remediation velocity. Location: Based onsite out of our headquarters in American Fork, Utah. Bonus Points: Experience in video streaming, computer vision, or physical safety products; hands-on work in regulated spaces (FedRAMP, GovRAMP, StateRAMP, CJIS); a track record scaling a formal Security Champions program or running a VDP/bug bounty. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO. LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details
10/19/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details
What you will do We are seeking a Manufacturing IT Platform Engineer with 5 or more years of traditional software development hands-on experience using AI-assisted development tools (e.g., Claude.ai, ChatGPT, GitHub Copilot). This role builds standardized and reusable manufacturing solutions, including integrations, manufacturing data platforms, that can be deployed and supported across plants using Kubernetes and containers. This role is ideal for an engineer who wants to build real systems used in the manufacturing, leverage AI tools to accelerate development, and grow into a strong manufacturing platform contributor. How you will do it Design and develop services supporting manufacturing use cases such as production events, quality data, and traceability. Build manufacturing data pipelines and APIs for real-time and near real time shop-floor data. Develop and maintain edge-deployed applications that interface with plant systems. Use AI development tools (Claude.ai, Copilot studio) for: Code generation and refactoring Test creation and debugging Documentation and design acceleration Containerize applications using Docker and deploy using Kubernetes (on prem or edge environments). Support plant systems. Collaborate with senior engineers and architects to improve reliability, scalability, and usability of the manufacturing platform. What we look for Required 5 or more years of traditional software development experience in Manufacturing. 1 or more years of experience using AI tools for software development. Strong coding skills in Python, Java, Node.js, or .NET. Experience building and consuming REST APIs and data services. Hands-on experience with Docker containers. Working knowledge of Kubernetes concepts (pods, deployments, services). Basic understanding of manufacturing or industrial systems. Preferred Exposure to MoM/MES, SCADA, Historian, or IoT systems. Experience with event-driven or streaming architectures (e.g., MQTT, pub/sub concepts). Any experience deploying applications to edge or on-prem environments. Familiarity with CI/CD pipelines and DevOps practices. Experience with manufacturing and shop-floor systems. Comfortable combining traditional engineering skills with AI-assisted development. Product-oriented mindset-focused on reusable, scalable solutions. Willingness to support plant users and learn from operational feedback. Meadowbrook - Lithium Ion Our Meadowbrook, Michigan plant produces lithium-ion batteries and runs a research lab. We began operations in 2010 and now employ more than 110 people and operate six days per week. We're mindful of the profound impact we have on our planet and are proud to operate in a LEED Gold Certified facility. Our employees are actively involved in the community and volunteer for a variety of local organizations. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
10/02/2026
Full time
What you will do We are seeking a Manufacturing IT Platform Engineer with 5 or more years of traditional software development hands-on experience using AI-assisted development tools (e.g., Claude.ai, ChatGPT, GitHub Copilot). This role builds standardized and reusable manufacturing solutions, including integrations, manufacturing data platforms, that can be deployed and supported across plants using Kubernetes and containers. This role is ideal for an engineer who wants to build real systems used in the manufacturing, leverage AI tools to accelerate development, and grow into a strong manufacturing platform contributor. How you will do it Design and develop services supporting manufacturing use cases such as production events, quality data, and traceability. Build manufacturing data pipelines and APIs for real-time and near real time shop-floor data. Develop and maintain edge-deployed applications that interface with plant systems. Use AI development tools (Claude.ai, Copilot studio) for: Code generation and refactoring Test creation and debugging Documentation and design acceleration Containerize applications using Docker and deploy using Kubernetes (on prem or edge environments). Support plant systems. Collaborate with senior engineers and architects to improve reliability, scalability, and usability of the manufacturing platform. What we look for Required 5 or more years of traditional software development experience in Manufacturing. 1 or more years of experience using AI tools for software development. Strong coding skills in Python, Java, Node.js, or .NET. Experience building and consuming REST APIs and data services. Hands-on experience with Docker containers. Working knowledge of Kubernetes concepts (pods, deployments, services). Basic understanding of manufacturing or industrial systems. Preferred Exposure to MoM/MES, SCADA, Historian, or IoT systems. Experience with event-driven or streaming architectures (e.g., MQTT, pub/sub concepts). Any experience deploying applications to edge or on-prem environments. Familiarity with CI/CD pipelines and DevOps practices. Experience with manufacturing and shop-floor systems. Comfortable combining traditional engineering skills with AI-assisted development. Product-oriented mindset-focused on reusable, scalable solutions. Willingness to support plant users and learn from operational feedback. Meadowbrook - Lithium Ion Our Meadowbrook, Michigan plant produces lithium-ion batteries and runs a research lab. We began operations in 2010 and now employ more than 110 people and operate six days per week. We're mindful of the profound impact we have on our planet and are proud to operate in a LEED Gold Certified facility. Our employees are actively involved in the community and volunteer for a variety of local organizations. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
Job Description Job Description About Medical Guardian: Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we are redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. Mission: This role is focused on building and leading the data engineering foundation that powers real-time decisioning, operational applications, analytics, ML/AI model development, and data services across Medical Guardian. The Principal Data Engineer will own the design, delivery, and maturity of production-grade data pipelines and data platforms, with a primary emphasis on real-time streaming, IoT telemetry, Databricks, Azure, data services for APIs and microservices, and reliable data products for downstream consumption. Role Summary: We are looking for a Principal Data Engineer to serve as a hands-on technical and people leader for data engineering, data platform architecture, real-time streaming, and production data services. This role will focus on designing, building, operating, and improving data pipelines and data products while also bringing principal-level judgment to architecture, stakeholder shaping, delivery priorities, team management, and production readiness. This is a hands-on engineering leadership role first. The ideal candidate should be comfortable spending significant time working directly with Databricks, Spark, SQL, Python/PySpark, Azure services, streaming architectures, data quality frameworks, pipeline automation, CI/CD, and production troubleshooting. They should also be able to operate with the maturity of a principal-level leader: shaping unclear requirements, making pragmatic technical decisions, managing and mentoring engineers, and driving work forward without waiting for perfect specifications. This is a fast-moving, startup-like environment. Requirements may be incomplete, priorities may evolve, and the right candidate will help create clarity while building quickly. We need someone who can move from ambiguous business need to reliable data capability with urgency, discipline, and ownership. Stakeholder shaping is a critical part of this role. The Principal Data Engineer should be able to work directly with business, product, software engineering, analytics, ML/AI, operations, and leadership stakeholders to define what data needs to exist, how it should be consumed, what production guarantees are required, and how success should be measured. A background in commercial software, SaaS, digital products, healthtech, fintech, IoT, data platforms, or other product-driven environments is strongly preferred. We want someone who understands that data pipelines and data services are not just technical artifacts. They are product capabilities that support real users, real workflows, operational decisions, ML/AI systems, APIs, analytics, and measurable business outcomes. Key Responsibilities: Hands-On Data Engineering and Platform Development Design, build, optimize, and operate production-grade batch and streaming data pipelines on Azure and Databricks, with a primary focus on real-time IoT and telemetry use cases within a Medallion architecture. Develop ETL/ELT workflows to ingest, transform, validate, and serve large volumes of structured, semi-structured, unstructured, and streaming data. Build and maintain reliable data products, data services, APIs, and microservices that support operational applications, analytics, software engineering, and ML/AI teams. Use Python, PySpark, Spark SQL, SQL, Delta Lake, Databricks Workflows, CI/CD, and related tools to build maintainable, testable, and observable data systems. Troubleshoot complex production pipeline issues across Databricks, Azure, streaming systems, APIs, and source systems, including root cause analysis, corrective action, and prevention planning. Move quickly from rough business need to prototype, pilot, and production-ready data capability while maintaining appropriate engineering discipline. Real-Time Streaming, IoT Telemetry, and Operational Data Services Lead the design and delivery of real-time streaming ingestion and processing patterns for connected medical device telemetry, event data, and operational data feeds. Implement streaming solutions using Azure Event Hubs, Azure Stream Analytics, Databricks, Delta Lake, and related Azure integration patterns. Design cost-effective throughput, partitioning, delivery, retention, and replay strategies for high-volume event and telemetry workloads. Create consumption patterns that support APIs, microservices, operational applications, near-real-time decisioning, analytics, and ML/AI use cases. Define reliability, latency, quality, observability, and supportability expectations for production streaming systems. Databricks, Lakehouse, and Data Platform Architecture Set direction for Databricks-based data engineering patterns, including Medallion architecture, Delta Lake, Spark optimization, data modeling, data quality, and reusable pipeline design. Optimize production Databricks pipelines using PySpark, Spark SQL, Delta Lake, partitioning strategies, caching, shuffle optimization, cluster/job configuration, and cost-aware design. Establish practical standards for pipeline structure, code organization, testing, deployment, monitoring, documentation, and ownership. Partner with data platform, security, infrastructure, and engineering teams to ensure the data platform is scalable, secure, reliable, and aligned with enterprise architecture. Make pragmatic architecture tradeoffs between speed, durability, cost, governance, performance, and downstream business impact. Stakeholder Shaping and Cross-Functional Partnership Work directly with business, product, analytics, ML/AI, operations, software engineering, and leadership stakeholders to clarify what data is needed, why it matters, how it will be used, and what success looks like. Translate ambiguous business needs into concrete data requirements, data product definitions, architecture options, delivery priorities, and implementation plans. Ask practical questions early: who will use the data, what decision or workflow does it support, what latency and quality are required, what happens if the data is wrong or late, and how will we know the capability is creating value? Help the organization avoid becoming a data ticket factory by shaping solutions, not just executing requests. Communicate architecture decisions, tradeoffs, risks, dependencies, and delivery options clearly to technical and non-technical stakeholders. Team Management and Principal-Level Technical Leadership Manage, mentor, and develop data engineers, providing clear expectations, technical guidance, prioritization support, feedback, and accountability. Provide technical leadership through hands-on example, strong engineering judgment, clear recommendations, and pragmatic decision-making. Lead design reviews, code reviews, production readiness reviews, incident reviews, and architecture discussions across data engineering initiatives. Establish and improve engineering standards for data quality, testing, CI/CD, observability, documentation, runbooks, cost management, privacy, and security. Proactively identify platform risks, data gaps, unclear ownership, operational weaknesses, and opportunities to improve reliability, scalability, and delivery speed. Influence without relying only on formal authority by building trust, framing tradeoffs, and helping cross-functional teams get to decisions. ML/AI, Analytics, and GenAI Enablement Partner with ML engineers, data scientists, analytics engineers, and analysts to deliver reliable data pipelines, feature pipelines, training datasets, scoring inputs, and feedback loops. Support the data foundation for predictive models, risk scores, operational decisioning, GenAI workflows, RAG, document intelligence, summarization, and AI-enabled automation. Help define data contracts, model-ready datasets, feature definitions, lineage, and monitoring expectations for ML/AI and analytics use cases. Ensure downstream consumers understand the meaning, freshness, quality, limitations, and appropriate use of the data products they depend on. Governance, Data Quality, Security, and Production Operations Apply privacy-first, security-aware, and governance-aligned practices for regulated, sensitive, and operationally critical data. Design and implement data quality checks, validation rules, anomaly detection, schema expectations, alerting, and operational monitoring. Ensure production pipelines and services are supportable, observable, documented, recoverable, and aligned with business continuity needs. Drive incident response and continuous improvement for data platform and pipeline issues, including root cause analysis and preventative remediation. Balance innovation with reliability, compliance, privacy, cost discipline, and operational usefulness. Required Qualifications: 10+ years of professional experience in data engineering . click apply for full job details
09/29/2026
Full time
Job Description Job Description About Medical Guardian: Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we are redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. Mission: This role is focused on building and leading the data engineering foundation that powers real-time decisioning, operational applications, analytics, ML/AI model development, and data services across Medical Guardian. The Principal Data Engineer will own the design, delivery, and maturity of production-grade data pipelines and data platforms, with a primary emphasis on real-time streaming, IoT telemetry, Databricks, Azure, data services for APIs and microservices, and reliable data products for downstream consumption. Role Summary: We are looking for a Principal Data Engineer to serve as a hands-on technical and people leader for data engineering, data platform architecture, real-time streaming, and production data services. This role will focus on designing, building, operating, and improving data pipelines and data products while also bringing principal-level judgment to architecture, stakeholder shaping, delivery priorities, team management, and production readiness. This is a hands-on engineering leadership role first. The ideal candidate should be comfortable spending significant time working directly with Databricks, Spark, SQL, Python/PySpark, Azure services, streaming architectures, data quality frameworks, pipeline automation, CI/CD, and production troubleshooting. They should also be able to operate with the maturity of a principal-level leader: shaping unclear requirements, making pragmatic technical decisions, managing and mentoring engineers, and driving work forward without waiting for perfect specifications. This is a fast-moving, startup-like environment. Requirements may be incomplete, priorities may evolve, and the right candidate will help create clarity while building quickly. We need someone who can move from ambiguous business need to reliable data capability with urgency, discipline, and ownership. Stakeholder shaping is a critical part of this role. The Principal Data Engineer should be able to work directly with business, product, software engineering, analytics, ML/AI, operations, and leadership stakeholders to define what data needs to exist, how it should be consumed, what production guarantees are required, and how success should be measured. A background in commercial software, SaaS, digital products, healthtech, fintech, IoT, data platforms, or other product-driven environments is strongly preferred. We want someone who understands that data pipelines and data services are not just technical artifacts. They are product capabilities that support real users, real workflows, operational decisions, ML/AI systems, APIs, analytics, and measurable business outcomes. Key Responsibilities: Hands-On Data Engineering and Platform Development Design, build, optimize, and operate production-grade batch and streaming data pipelines on Azure and Databricks, with a primary focus on real-time IoT and telemetry use cases within a Medallion architecture. Develop ETL/ELT workflows to ingest, transform, validate, and serve large volumes of structured, semi-structured, unstructured, and streaming data. Build and maintain reliable data products, data services, APIs, and microservices that support operational applications, analytics, software engineering, and ML/AI teams. Use Python, PySpark, Spark SQL, SQL, Delta Lake, Databricks Workflows, CI/CD, and related tools to build maintainable, testable, and observable data systems. Troubleshoot complex production pipeline issues across Databricks, Azure, streaming systems, APIs, and source systems, including root cause analysis, corrective action, and prevention planning. Move quickly from rough business need to prototype, pilot, and production-ready data capability while maintaining appropriate engineering discipline. Real-Time Streaming, IoT Telemetry, and Operational Data Services Lead the design and delivery of real-time streaming ingestion and processing patterns for connected medical device telemetry, event data, and operational data feeds. Implement streaming solutions using Azure Event Hubs, Azure Stream Analytics, Databricks, Delta Lake, and related Azure integration patterns. Design cost-effective throughput, partitioning, delivery, retention, and replay strategies for high-volume event and telemetry workloads. Create consumption patterns that support APIs, microservices, operational applications, near-real-time decisioning, analytics, and ML/AI use cases. Define reliability, latency, quality, observability, and supportability expectations for production streaming systems. Databricks, Lakehouse, and Data Platform Architecture Set direction for Databricks-based data engineering patterns, including Medallion architecture, Delta Lake, Spark optimization, data modeling, data quality, and reusable pipeline design. Optimize production Databricks pipelines using PySpark, Spark SQL, Delta Lake, partitioning strategies, caching, shuffle optimization, cluster/job configuration, and cost-aware design. Establish practical standards for pipeline structure, code organization, testing, deployment, monitoring, documentation, and ownership. Partner with data platform, security, infrastructure, and engineering teams to ensure the data platform is scalable, secure, reliable, and aligned with enterprise architecture. Make pragmatic architecture tradeoffs between speed, durability, cost, governance, performance, and downstream business impact. Stakeholder Shaping and Cross-Functional Partnership Work directly with business, product, analytics, ML/AI, operations, software engineering, and leadership stakeholders to clarify what data is needed, why it matters, how it will be used, and what success looks like. Translate ambiguous business needs into concrete data requirements, data product definitions, architecture options, delivery priorities, and implementation plans. Ask practical questions early: who will use the data, what decision or workflow does it support, what latency and quality are required, what happens if the data is wrong or late, and how will we know the capability is creating value? Help the organization avoid becoming a data ticket factory by shaping solutions, not just executing requests. Communicate architecture decisions, tradeoffs, risks, dependencies, and delivery options clearly to technical and non-technical stakeholders. Team Management and Principal-Level Technical Leadership Manage, mentor, and develop data engineers, providing clear expectations, technical guidance, prioritization support, feedback, and accountability. Provide technical leadership through hands-on example, strong engineering judgment, clear recommendations, and pragmatic decision-making. Lead design reviews, code reviews, production readiness reviews, incident reviews, and architecture discussions across data engineering initiatives. Establish and improve engineering standards for data quality, testing, CI/CD, observability, documentation, runbooks, cost management, privacy, and security. Proactively identify platform risks, data gaps, unclear ownership, operational weaknesses, and opportunities to improve reliability, scalability, and delivery speed. Influence without relying only on formal authority by building trust, framing tradeoffs, and helping cross-functional teams get to decisions. ML/AI, Analytics, and GenAI Enablement Partner with ML engineers, data scientists, analytics engineers, and analysts to deliver reliable data pipelines, feature pipelines, training datasets, scoring inputs, and feedback loops. Support the data foundation for predictive models, risk scores, operational decisioning, GenAI workflows, RAG, document intelligence, summarization, and AI-enabled automation. Help define data contracts, model-ready datasets, feature definitions, lineage, and monitoring expectations for ML/AI and analytics use cases. Ensure downstream consumers understand the meaning, freshness, quality, limitations, and appropriate use of the data products they depend on. Governance, Data Quality, Security, and Production Operations Apply privacy-first, security-aware, and governance-aligned practices for regulated, sensitive, and operationally critical data. Design and implement data quality checks, validation rules, anomaly detection, schema expectations, alerting, and operational monitoring. Ensure production pipelines and services are supportable, observable, documented, recoverable, and aligned with business continuity needs. Drive incident response and continuous improvement for data platform and pipeline issues, including root cause analysis and preventative remediation. Balance innovation with reliability, compliance, privacy, cost discipline, and operational usefulness. Required Qualifications: 10+ years of professional experience in data engineering . click apply for full job details
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineer (Advanced Sonar Systems) Job Code: 42766 Job Location: Millersville-MD or Herndon, VA (on-site) Schedule: 9/80 Regular Schedule (Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. JOB DESCRIPTION: The successful candidate will be based at our Millersville-MD office (onsite). We develop advanced sonar systems and support software that enables system control, data acquisition, and analysis. Work includes software requirements development, software test and integration, and both application level and embedded C/C++ development, including Linux based GUI and system control work. The role also involves UI and embedded software development for equipment operating in diverse environments such as factory, depot, laboratory, and shipboard settings. In addition to technical contributions, this position supports the day to day activities of the Software Engineering Group by providing technical guidance, assigning tasks, participating in complex engineering efforts, reviewing and approving formal documentation, and estimating labor, tools, and other resources to meet budget and schedule commitments. A strong understanding of UI design on Windows and Linux platforms is preferred, and additional hardware related responsibilities may be assigned based on skill set. ESSENTIAL DUTIES AND RESPONSIBILITIES Design and implement software using C/C++ and C#. Execute assigned projects and tasks involving software design, documentation, verification, and validation for sonar systems. Perform technical reviews, design analyses, and the development and selection of hardware and mission critical software. Modify and enhance existing software for operational systems or test facilities. Conduct analyses for computer hardware and software development or implementation; structure work to enable clear progress assessment. Provide independent validation and verification of design concepts and implementation approaches. Develop, test, and document software code, and support integration into higher level assemblies as required. Perform software configuration management to ensure all code reflects the current version and revision level. Implement review and oversight procedures to evaluate design activities for compliance with customer requirements, company standards, engineering best practices, and quality system procedures. Ensure assigned tasks meet technical, schedule, and quality requirements. Identify and report issues, recommending corrective actions or alternatives when cost or schedule risks are identified. Prepare design review materials in support of SRR, PDR, CDR, and other technical audits. Contributions to the development of new technologies and processes, including submitting ideas for IRAD efforts and supporting the execution of funded IRAD and Internal Order projects. Ability to prepare and deliver technical presentations to management and customers. Foster and maintain positive relationships with customers, suppliers, colleagues, industry groups, government agencies, and the community Ability to present proposals and program execution status to internal executives, program managers, and customers. Ability to independently contribute to software requirements development, software testing and integration, and the creation of both application level and embedded C/C++ code on Windows-based and Linux based systems, including GUI and system control development. Ability to travel up to 25%. Ability to obtain and maintain a Secret Security Clearance. QUALIFICATIONS: Bachelor's degree in Computer / Electrical, or Electronics Engineering or equivalent and minimum 9 years of prior relevant experience. Or, Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. 5+ years of experience designing and implement software in C/C++, C# languages. At least 2 years of experience in embedded software, and user interface (UI) software development on Windows and Linux desktop platforms At least 2 years of practical knowledge of project management. Leadership experience within the job area, with comprehensive knowledge and skills in a specific technical discipline and a broad understanding of related functions. Professional experience in project management, software metrics, team leadership, and EVMS. Ability to write concise technical reports documenting findings. Ability to interpret and clearly communicate engineering plans and specifications, with solid knowledge of engineering theory and design criteria. Experience creating and presenting proposals, including developing and reviewing cost estimates and proposal packages. Experience leading large project planning and development activities. PREFERRED ADDITIONAL SKILLS: Understanding of user interface (UI) elements, tools, and development techniques. Experience with Linux OS configuration, including kernel modifications, drivers, and U Boot. Familiarity with multiple programming languages such as C/C++, C#, VB, Verilog, Java, and Structured Text/PLC. Strong analytical and communication skills. Excellent general computer skills and ability to quickly learn new hardware and software applications. Experience using and configuring networking equipment. Strong human relations and collaboration skills. Knowledge of Kafka or similar event streaming platforms. Experience with TCP and UDP socket networking. Linux development experience. In compliance with pay transparency requirements, the salary range for this role is $135,000 - $250,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineer (Advanced Sonar Systems) Job Code: 42766 Job Location: Millersville-MD or Herndon, VA (on-site) Schedule: 9/80 Regular Schedule (Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. JOB DESCRIPTION: The successful candidate will be based at our Millersville-MD office (onsite). We develop advanced sonar systems and support software that enables system control, data acquisition, and analysis. Work includes software requirements development, software test and integration, and both application level and embedded C/C++ development, including Linux based GUI and system control work. The role also involves UI and embedded software development for equipment operating in diverse environments such as factory, depot, laboratory, and shipboard settings. In addition to technical contributions, this position supports the day to day activities of the Software Engineering Group by providing technical guidance, assigning tasks, participating in complex engineering efforts, reviewing and approving formal documentation, and estimating labor, tools, and other resources to meet budget and schedule commitments. A strong understanding of UI design on Windows and Linux platforms is preferred, and additional hardware related responsibilities may be assigned based on skill set. ESSENTIAL DUTIES AND RESPONSIBILITIES Design and implement software using C/C++ and C#. Execute assigned projects and tasks involving software design, documentation, verification, and validation for sonar systems. Perform technical reviews, design analyses, and the development and selection of hardware and mission critical software. Modify and enhance existing software for operational systems or test facilities. Conduct analyses for computer hardware and software development or implementation; structure work to enable clear progress assessment. Provide independent validation and verification of design concepts and implementation approaches. Develop, test, and document software code, and support integration into higher level assemblies as required. Perform software configuration management to ensure all code reflects the current version and revision level. Implement review and oversight procedures to evaluate design activities for compliance with customer requirements, company standards, engineering best practices, and quality system procedures. Ensure assigned tasks meet technical, schedule, and quality requirements. Identify and report issues, recommending corrective actions or alternatives when cost or schedule risks are identified. Prepare design review materials in support of SRR, PDR, CDR, and other technical audits. Contributions to the development of new technologies and processes, including submitting ideas for IRAD efforts and supporting the execution of funded IRAD and Internal Order projects. Ability to prepare and deliver technical presentations to management and customers. Foster and maintain positive relationships with customers, suppliers, colleagues, industry groups, government agencies, and the community Ability to present proposals and program execution status to internal executives, program managers, and customers. Ability to independently contribute to software requirements development, software testing and integration, and the creation of both application level and embedded C/C++ code on Windows-based and Linux based systems, including GUI and system control development. Ability to travel up to 25%. Ability to obtain and maintain a Secret Security Clearance. QUALIFICATIONS: Bachelor's degree in Computer / Electrical, or Electronics Engineering or equivalent and minimum 9 years of prior relevant experience. Or, Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. 5+ years of experience designing and implement software in C/C++, C# languages. At least 2 years of experience in embedded software, and user interface (UI) software development on Windows and Linux desktop platforms At least 2 years of practical knowledge of project management. Leadership experience within the job area, with comprehensive knowledge and skills in a specific technical discipline and a broad understanding of related functions. Professional experience in project management, software metrics, team leadership, and EVMS. Ability to write concise technical reports documenting findings. Ability to interpret and clearly communicate engineering plans and specifications, with solid knowledge of engineering theory and design criteria. Experience creating and presenting proposals, including developing and reviewing cost estimates and proposal packages. Experience leading large project planning and development activities. PREFERRED ADDITIONAL SKILLS: Understanding of user interface (UI) elements, tools, and development techniques. Experience with Linux OS configuration, including kernel modifications, drivers, and U Boot. Familiarity with multiple programming languages such as C/C++, C#, VB, Verilog, Java, and Structured Text/PLC. Strong analytical and communication skills. Excellent general computer skills and ability to quickly learn new hardware and software applications. Experience using and configuring networking equipment. Strong human relations and collaboration skills. Knowledge of Kafka or similar event streaming platforms. Experience with TCP and UDP socket networking. Linux development experience. In compliance with pay transparency requirements, the salary range for this role is $135,000 - $250,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineer (Advanced Sonar Systems) Job Code: 42766 Job Location: Millersville-MD or Herndon, VA (on-site) Schedule: 9/80 Regular Schedule (Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. JOB DESCRIPTION: The successful candidate will be based at our Millersville-MD office (onsite). We develop advanced sonar systems and support software that enables system control, data acquisition, and analysis. Work includes software requirements development, software test and integration, and both application level and embedded C/C++ development, including Linux based GUI and system control work. The role also involves UI and embedded software development for equipment operating in diverse environments such as factory, depot, laboratory, and shipboard settings. In addition to technical contributions, this position supports the day to day activities of the Software Engineering Group by providing technical guidance, assigning tasks, participating in complex engineering efforts, reviewing and approving formal documentation, and estimating labor, tools, and other resources to meet budget and schedule commitments. A strong understanding of UI design on Windows and Linux platforms is preferred, and additional hardware related responsibilities may be assigned based on skill set. ESSENTIAL DUTIES AND RESPONSIBILITIES Design and implement software using C/C++ and C#. Execute assigned projects and tasks involving software design, documentation, verification, and validation for sonar systems. Perform technical reviews, design analyses, and the development and selection of hardware and mission critical software. Modify and enhance existing software for operational systems or test facilities. Conduct analyses for computer hardware and software development or implementation; structure work to enable clear progress assessment. Provide independent validation and verification of design concepts and implementation approaches. Develop, test, and document software code, and support integration into higher level assemblies as required. Perform software configuration management to ensure all code reflects the current version and revision level. Implement review and oversight procedures to evaluate design activities for compliance with customer requirements, company standards, engineering best practices, and quality system procedures. Ensure assigned tasks meet technical, schedule, and quality requirements. Identify and report issues, recommending corrective actions or alternatives when cost or schedule risks are identified. Prepare design review materials in support of SRR, PDR, CDR, and other technical audits. Contributions to the development of new technologies and processes, including submitting ideas for IRAD efforts and supporting the execution of funded IRAD and Internal Order projects. Ability to prepare and deliver technical presentations to management and customers. Foster and maintain positive relationships with customers, suppliers, colleagues, industry groups, government agencies, and the community Ability to present proposals and program execution status to internal executives, program managers, and customers. Ability to independently contribute to software requirements development, software testing and integration, and the creation of both application level and embedded C/C++ code on Windows-based and Linux based systems, including GUI and system control development. Ability to travel up to 25%. Ability to obtain and maintain a Secret Security Clearance. QUALIFICATIONS: Bachelor's degree in Computer / Electrical, or Electronics Engineering or equivalent and minimum 9 years of prior relevant experience. Or, Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. 5+ years of experience designing and implement software in C/C++, C# languages. At least 2 years of experience in embedded software, and user interface (UI) software development on Windows and Linux desktop platforms At least 2 years of practical knowledge of project management. Leadership experience within the job area, with comprehensive knowledge and skills in a specific technical discipline and a broad understanding of related functions. Professional experience in project management, software metrics, team leadership, and EVMS. Ability to write concise technical reports documenting findings. Ability to interpret and clearly communicate engineering plans and specifications, with solid knowledge of engineering theory and design criteria. Experience creating and presenting proposals, including developing and reviewing cost estimates and proposal packages. Experience leading large project planning and development activities. PREFERRED ADDITIONAL SKILLS: Understanding of user interface (UI) elements, tools, and development techniques. Experience with Linux OS configuration, including kernel modifications, drivers, and U Boot. Familiarity with multiple programming languages such as C/C++, C#, VB, Verilog, Java, and Structured Text/PLC. Strong analytical and communication skills. Excellent general computer skills and ability to quickly learn new hardware and software applications. Experience using and configuring networking equipment. Strong human relations and collaboration skills. Knowledge of Kafka or similar event streaming platforms. Experience with TCP and UDP socket networking. Linux development experience. In compliance with pay transparency requirements, the salary range for this role is $135,000 - $250,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineer (Advanced Sonar Systems) Job Code: 42766 Job Location: Millersville-MD or Herndon, VA (on-site) Schedule: 9/80 Regular Schedule (Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. JOB DESCRIPTION: The successful candidate will be based at our Millersville-MD office (onsite). We develop advanced sonar systems and support software that enables system control, data acquisition, and analysis. Work includes software requirements development, software test and integration, and both application level and embedded C/C++ development, including Linux based GUI and system control work. The role also involves UI and embedded software development for equipment operating in diverse environments such as factory, depot, laboratory, and shipboard settings. In addition to technical contributions, this position supports the day to day activities of the Software Engineering Group by providing technical guidance, assigning tasks, participating in complex engineering efforts, reviewing and approving formal documentation, and estimating labor, tools, and other resources to meet budget and schedule commitments. A strong understanding of UI design on Windows and Linux platforms is preferred, and additional hardware related responsibilities may be assigned based on skill set. ESSENTIAL DUTIES AND RESPONSIBILITIES Design and implement software using C/C++ and C#. Execute assigned projects and tasks involving software design, documentation, verification, and validation for sonar systems. Perform technical reviews, design analyses, and the development and selection of hardware and mission critical software. Modify and enhance existing software for operational systems or test facilities. Conduct analyses for computer hardware and software development or implementation; structure work to enable clear progress assessment. Provide independent validation and verification of design concepts and implementation approaches. Develop, test, and document software code, and support integration into higher level assemblies as required. Perform software configuration management to ensure all code reflects the current version and revision level. Implement review and oversight procedures to evaluate design activities for compliance with customer requirements, company standards, engineering best practices, and quality system procedures. Ensure assigned tasks meet technical, schedule, and quality requirements. Identify and report issues, recommending corrective actions or alternatives when cost or schedule risks are identified. Prepare design review materials in support of SRR, PDR, CDR, and other technical audits. Contributions to the development of new technologies and processes, including submitting ideas for IRAD efforts and supporting the execution of funded IRAD and Internal Order projects. Ability to prepare and deliver technical presentations to management and customers. Foster and maintain positive relationships with customers, suppliers, colleagues, industry groups, government agencies, and the community Ability to present proposals and program execution status to internal executives, program managers, and customers. Ability to independently contribute to software requirements development, software testing and integration, and the creation of both application level and embedded C/C++ code on Windows-based and Linux based systems, including GUI and system control development. Ability to travel up to 25%. Ability to obtain and maintain a Secret Security Clearance. QUALIFICATIONS: Bachelor's degree in Computer / Electrical, or Electronics Engineering or equivalent and minimum 9 years of prior relevant experience. Or, Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. 5+ years of experience designing and implement software in C/C++, C# languages. At least 2 years of experience in embedded software, and user interface (UI) software development on Windows and Linux desktop platforms At least 2 years of practical knowledge of project management. Leadership experience within the job area, with comprehensive knowledge and skills in a specific technical discipline and a broad understanding of related functions. Professional experience in project management, software metrics, team leadership, and EVMS. Ability to write concise technical reports documenting findings. Ability to interpret and clearly communicate engineering plans and specifications, with solid knowledge of engineering theory and design criteria. Experience creating and presenting proposals, including developing and reviewing cost estimates and proposal packages. Experience leading large project planning and development activities. PREFERRED ADDITIONAL SKILLS: Understanding of user interface (UI) elements, tools, and development techniques. Experience with Linux OS configuration, including kernel modifications, drivers, and U Boot. Familiarity with multiple programming languages such as C/C++, C#, VB, Verilog, Java, and Structured Text/PLC. Strong analytical and communication skills. Excellent general computer skills and ability to quickly learn new hardware and software applications. Experience using and configuring networking equipment. Strong human relations and collaboration skills. Knowledge of Kafka or similar event streaming platforms. Experience with TCP and UDP socket networking. Linux development experience. In compliance with pay transparency requirements, the salary range for this role is $135,000 - $250,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details
09/26/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details
