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etl focused data engineer
TEKsystems
Business Intelligence Engineer I
TEKsystems Westborough, Massachusetts
Job Description Description We are looking for an experienced and enthusiastic Business Intelligence Engineer to join the BI Engineering, Analytics, & Data Science (BAND) team supporting Robotic Storage Tech (RST) programs within Robotics. In this role, you will serve as the BI owner for RST's portfolio of robotic solutions - designing, developing, and maintaining dashboards, reports, and other analytics artifacts that enable data-driven decisions across the program lifecycle. You will also establish the standards and operating procedures that ensure our BI solutions remain scalable, reliable, and maintainable as RST's technology portfolio grows. Beyond dashboards, you bring a strong foundation in statistics - including hypothesis testing, design of experiments, and exploratory data analysis - to support engineering and program teams in evaluating robotic system performance. You are a collaborative problem-solver who thinks holistically about how systems work together and uses data to identify improvements to architecture, design, and operational readiness. Key job responsibilities • BI Ownership for RST: Design, build, and maintain dashboards and reporting solutions that serve all RST robotic solutions through their Alpha, Beta, and General Availability phases. • Governance & Maintainability: Develop and document Standard Operating Procedures (SOPs) for dashboard lifecycle management - including version control practices, data validation standards, refresh monitoring, stakeholder access management, and deprecation workflows - to ensure long-term health and scalability of the team's BI portfolio. • Data Source Development: Identify and onboard new data sources, define metrics, and build data pipelines that feed BI solutions and enable cross-program comparisons. • Stakeholder Partnership: Collaborate with Data Scientists, Data Engineers, Program Managers, and engineering teams to translate ambiguous business questions into structured analyses and automated reporting. • Statistical Analysis: Execute foundational statistical methods including hypothesis testing, confidence intervals, design of experiments (DOE), and regression analysis to support engineering evaluations and program decisions. • Whitepaper & Insights Delivery: Author recommendation-focused whitepapers and deep-dive analyses that inform technology development decisions and shape RST's roadmap. A day in the life You will own major components of the BAND team's analytics infrastructure for RST, including contributing to data architecture decisions and delivering reports that drive the development and deployment of new robotic storage systems. On any given day, you might be building a new operational dashboard for a robotic solution entering Beta, writing an SOP that defines how the team documents data lineage and refresh schedules, or running a designed experiment to evaluate a system configuration change. You will maintain a deep understanding of data lineage across your BI solutions - from the technical systems generating the data, through metric aggregation processes, to how insights are consumed and acted upon by stakeholders. You will create and optimize scripts (Python, R, Shell) to streamline BI processes and select appropriate analytics and visualization tools to meet diverse business needs. Your work will directly influence technology development decisions across RST's portfolio and shape the future robotic storage technology landscape. About the team Robotic Storage Tech (RST) invents, designs, and develops transformational storage solutions used in the Logistic Network. We will realize the next generation of automated containerized systems, and optimize our existing install base. We are a team of talented engineers, product evangelists, and creators focused on technologies that make inventory pick, stow, and count safer and more efficient. We deliver value with our elite robotic technologies because we listen and respond to our many customers, develop robust and reliable solutions, and invest in both our people and our products. Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Job Type & Location This is a Contract position based out of Westborough, MA. Pay and Benefits The pay range for this position is $40.00 - $50.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Westborough,MA. Application Deadline This position is anticipated to close on Aug 26, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
08/22/2026
Full time
Job Description Description We are looking for an experienced and enthusiastic Business Intelligence Engineer to join the BI Engineering, Analytics, & Data Science (BAND) team supporting Robotic Storage Tech (RST) programs within Robotics. In this role, you will serve as the BI owner for RST's portfolio of robotic solutions - designing, developing, and maintaining dashboards, reports, and other analytics artifacts that enable data-driven decisions across the program lifecycle. You will also establish the standards and operating procedures that ensure our BI solutions remain scalable, reliable, and maintainable as RST's technology portfolio grows. Beyond dashboards, you bring a strong foundation in statistics - including hypothesis testing, design of experiments, and exploratory data analysis - to support engineering and program teams in evaluating robotic system performance. You are a collaborative problem-solver who thinks holistically about how systems work together and uses data to identify improvements to architecture, design, and operational readiness. Key job responsibilities • BI Ownership for RST: Design, build, and maintain dashboards and reporting solutions that serve all RST robotic solutions through their Alpha, Beta, and General Availability phases. • Governance & Maintainability: Develop and document Standard Operating Procedures (SOPs) for dashboard lifecycle management - including version control practices, data validation standards, refresh monitoring, stakeholder access management, and deprecation workflows - to ensure long-term health and scalability of the team's BI portfolio. • Data Source Development: Identify and onboard new data sources, define metrics, and build data pipelines that feed BI solutions and enable cross-program comparisons. • Stakeholder Partnership: Collaborate with Data Scientists, Data Engineers, Program Managers, and engineering teams to translate ambiguous business questions into structured analyses and automated reporting. • Statistical Analysis: Execute foundational statistical methods including hypothesis testing, confidence intervals, design of experiments (DOE), and regression analysis to support engineering evaluations and program decisions. • Whitepaper & Insights Delivery: Author recommendation-focused whitepapers and deep-dive analyses that inform technology development decisions and shape RST's roadmap. A day in the life You will own major components of the BAND team's analytics infrastructure for RST, including contributing to data architecture decisions and delivering reports that drive the development and deployment of new robotic storage systems. On any given day, you might be building a new operational dashboard for a robotic solution entering Beta, writing an SOP that defines how the team documents data lineage and refresh schedules, or running a designed experiment to evaluate a system configuration change. You will maintain a deep understanding of data lineage across your BI solutions - from the technical systems generating the data, through metric aggregation processes, to how insights are consumed and acted upon by stakeholders. You will create and optimize scripts (Python, R, Shell) to streamline BI processes and select appropriate analytics and visualization tools to meet diverse business needs. Your work will directly influence technology development decisions across RST's portfolio and shape the future robotic storage technology landscape. About the team Robotic Storage Tech (RST) invents, designs, and develops transformational storage solutions used in the Logistic Network. We will realize the next generation of automated containerized systems, and optimize our existing install base. We are a team of talented engineers, product evangelists, and creators focused on technologies that make inventory pick, stow, and count safer and more efficient. We deliver value with our elite robotic technologies because we listen and respond to our many customers, develop robust and reliable solutions, and invest in both our people and our products. Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Job Type & Location This is a Contract position based out of Westborough, MA. Pay and Benefits The pay range for this position is $40.00 - $50.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Westborough,MA. Application Deadline This position is anticipated to close on Aug 26, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
TEKsystems
Business Intelligence Engineer I
TEKsystems Westborough, Massachusetts
Job Description Description We are looking for an experienced and enthusiastic Business Intelligence Engineer to join the BI Engineering, Analytics, & Data Science (BAND) team supporting Robotic Storage Tech (RST) programs within Robotics. In this role, you will serve as the BI owner for RST's portfolio of robotic solutions - designing, developing, and maintaining dashboards, reports, and other analytics artifacts that enable data-driven decisions across the program lifecycle. You will also establish the standards and operating procedures that ensure our BI solutions remain scalable, reliable, and maintainable as RST's technology portfolio grows. Beyond dashboards, you bring a strong foundation in statistics - including hypothesis testing, design of experiments, and exploratory data analysis - to support engineering and program teams in evaluating robotic system performance. You are a collaborative problem-solver who thinks holistically about how systems work together and uses data to identify improvements to architecture, design, and operational readiness. Key job responsibilities • BI Ownership for RST: Design, build, and maintain dashboards and reporting solutions that serve all RST robotic solutions through their Alpha, Beta, and General Availability phases. • Governance & Maintainability: Develop and document Standard Operating Procedures (SOPs) for dashboard lifecycle management - including version control practices, data validation standards, refresh monitoring, stakeholder access management, and deprecation workflows - to ensure long-term health and scalability of the team's BI portfolio. • Data Source Development: Identify and onboard new data sources, define metrics, and build data pipelines that feed BI solutions and enable cross-program comparisons. • Stakeholder Partnership: Collaborate with Data Scientists, Data Engineers, Program Managers, and engineering teams to translate ambiguous business questions into structured analyses and automated reporting. • Statistical Analysis: Execute foundational statistical methods including hypothesis testing, confidence intervals, design of experiments (DOE), and regression analysis to support engineering evaluations and program decisions. • Whitepaper & Insights Delivery: Author recommendation-focused whitepapers and deep-dive analyses that inform technology development decisions and shape RST's roadmap. A day in the life You will own major components of the BAND team's analytics infrastructure for RST, including contributing to data architecture decisions and delivering reports that drive the development and deployment of new robotic storage systems. On any given day, you might be building a new operational dashboard for a robotic solution entering Beta, writing an SOP that defines how the team documents data lineage and refresh schedules, or running a designed experiment to evaluate a system configuration change. You will maintain a deep understanding of data lineage across your BI solutions - from the technical systems generating the data, through metric aggregation processes, to how insights are consumed and acted upon by stakeholders. You will create and optimize scripts (Python, R, Shell) to streamline BI processes and select appropriate analytics and visualization tools to meet diverse business needs. Your work will directly influence technology development decisions across RST's portfolio and shape the future robotic storage technology landscape. About the team Robotic Storage Tech (RST) invents, designs, and develops transformational storage solutions used in the Logistic Network. We will realize the next generation of automated containerized systems, and optimize our existing install base. We are a team of talented engineers, product evangelists, and creators focused on technologies that make inventory pick, stow, and count safer and more efficient. We deliver value with our elite robotic technologies because we listen and respond to our many customers, develop robust and reliable solutions, and invest in both our people and our products. Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Job Type & Location This is a Contract position based out of Westborough, MA. Pay and Benefits The pay range for this position is $40.00 - $50.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Westborough,MA. Application Deadline This position is anticipated to close on Aug 26, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
08/22/2026
Full time
Job Description Description We are looking for an experienced and enthusiastic Business Intelligence Engineer to join the BI Engineering, Analytics, & Data Science (BAND) team supporting Robotic Storage Tech (RST) programs within Robotics. In this role, you will serve as the BI owner for RST's portfolio of robotic solutions - designing, developing, and maintaining dashboards, reports, and other analytics artifacts that enable data-driven decisions across the program lifecycle. You will also establish the standards and operating procedures that ensure our BI solutions remain scalable, reliable, and maintainable as RST's technology portfolio grows. Beyond dashboards, you bring a strong foundation in statistics - including hypothesis testing, design of experiments, and exploratory data analysis - to support engineering and program teams in evaluating robotic system performance. You are a collaborative problem-solver who thinks holistically about how systems work together and uses data to identify improvements to architecture, design, and operational readiness. Key job responsibilities • BI Ownership for RST: Design, build, and maintain dashboards and reporting solutions that serve all RST robotic solutions through their Alpha, Beta, and General Availability phases. • Governance & Maintainability: Develop and document Standard Operating Procedures (SOPs) for dashboard lifecycle management - including version control practices, data validation standards, refresh monitoring, stakeholder access management, and deprecation workflows - to ensure long-term health and scalability of the team's BI portfolio. • Data Source Development: Identify and onboard new data sources, define metrics, and build data pipelines that feed BI solutions and enable cross-program comparisons. • Stakeholder Partnership: Collaborate with Data Scientists, Data Engineers, Program Managers, and engineering teams to translate ambiguous business questions into structured analyses and automated reporting. • Statistical Analysis: Execute foundational statistical methods including hypothesis testing, confidence intervals, design of experiments (DOE), and regression analysis to support engineering evaluations and program decisions. • Whitepaper & Insights Delivery: Author recommendation-focused whitepapers and deep-dive analyses that inform technology development decisions and shape RST's roadmap. A day in the life You will own major components of the BAND team's analytics infrastructure for RST, including contributing to data architecture decisions and delivering reports that drive the development and deployment of new robotic storage systems. On any given day, you might be building a new operational dashboard for a robotic solution entering Beta, writing an SOP that defines how the team documents data lineage and refresh schedules, or running a designed experiment to evaluate a system configuration change. You will maintain a deep understanding of data lineage across your BI solutions - from the technical systems generating the data, through metric aggregation processes, to how insights are consumed and acted upon by stakeholders. You will create and optimize scripts (Python, R, Shell) to streamline BI processes and select appropriate analytics and visualization tools to meet diverse business needs. Your work will directly influence technology development decisions across RST's portfolio and shape the future robotic storage technology landscape. About the team Robotic Storage Tech (RST) invents, designs, and develops transformational storage solutions used in the Logistic Network. We will realize the next generation of automated containerized systems, and optimize our existing install base. We are a team of talented engineers, product evangelists, and creators focused on technologies that make inventory pick, stow, and count safer and more efficient. We deliver value with our elite robotic technologies because we listen and respond to our many customers, develop robust and reliable solutions, and invest in both our people and our products. Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Job Type & Location This is a Contract position based out of Westborough, MA. Pay and Benefits The pay range for this position is $40.00 - $50.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Westborough,MA. Application Deadline This position is anticipated to close on Aug 26, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
Leidos
Site Reliability Data Engineer
Leidos Cardiff By The Sea, California
Job Description Description More About the Role: Leidos is seeking a Site Reliability Engineer (SRE) Data Engineer supporting the largest IT services program for the Navy. Under the Service Management, Integration, and Transport (SMIT) program, the Leidos team delivers the core backbone of the Navy-Marine Corps Intranet, including cybersecurity services, network operations, service desk, and data transport. Leidos supports the Navy in unifying its shore-based networks and data management to improve capability and service while also saving significant dollars by focusing efforts under one enterprise network. As part of the SRE organization you will develop and execute tests focused on system resilience, performance underload, and failure scenarios. You will also work in tandem with other Site Reliability Engineers (SREs) and development teams to create automated testing frameworks that simulate real-world conditions that validate system behavior under normal and stress conditions, ensuring our services are resilient and meet established service level objectives (SLOs) The SRE will support the operations and maintenance of the enterprise network. Your work will contribute to the development of robust and scalable services that operate reliably in production. The Data Engineer designs, builds, integrates, and sustains secure enterprise data solutions that enable reliable analytics, reporting, operational insight, and informed decision-making. The position develops scalable data pipelines, integrates data from diverse sources, improves data quality and availability, and supports cloud and on-premises platforms in a mission-critical environment. The Data Engineer works closely with business intelligence, cybersecurity, infrastructure, application, and program teams to translate operational requirements into governed, supportable, and reusable data products; and will contribute to modernization activities in an Agile/DevOps operating culture. What You'll Get to Do: •Design, develop, test, deploy, and maintain scalable ETL/ELT pipelines that collect, transform, validate, and deliver structured and unstructured data from enterprise systems, applications, APIs, logs, files, and databases. •Build and optimize data models, schemas, tables, views, and curated data sets that support analytics, business intelligence, operational reporting, and downstream application requirements. •Develop data-processing solutions using SQL, Python, and other approved technologies; apply reusable engineering patterns, source control, peer review, and documented release practices. •Integrate cloud and on-premises data platforms while supporting secure data movement, interoperability, availability, retention, and performance across hybrid enterprise environments. •Implement automated data-quality checks, reconciliation controls, monitoring, alerting, and exception handling to identify incomplete, inaccurate, duplicated, delayed, or failed data flows. •Troubleshoot pipeline failures, data discrepancies, performance degradation, access issues, and integration defects; perform root-cause analysis and implement corrective and preventive actions. •Partner with analysts, business intelligence developers, data owners, system administrators, and mission stakeholders to define data requirements, source-to-target mappings, transformation rules, service expectations, and acceptance criteria. •Apply data governance, security, privacy, least-privilege access, auditability, and records-retention requirements throughout the data lifecycle in coordination with cybersecurity and compliance teams. •Support platform upgrades, data migrations, modernization initiatives, capacity planning, and performance tuning while minimizing disruption to production services. •Create and maintain technical documentation, including architecture diagrams, data dictionaries, lineage documentation, interface specifications, runbooks, standard operating procedures, and troubleshooting guides. •Participate in Agile planning, backlog refinement, technical reviews, demonstrations, incident response, and after-hours support activities when required to sustain mission-critical services. You'll Bring These Qualifications: •Requires B.S Degree and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience in data engineering, computer science, information systems, software engineering, mathematics, or a related technical discipline, with at least four years of relevant experience; additional directly related experience may be considered in place of a degree. •Must be a U.S. citizen and possess an active DoD Secret Security Clearance. •Must possess and maintain an IAT Level II certification that satisfies applicable DoD cybersecurity workforce requirements. •Must be located in (or able to work onsite at Navy Base as required) either San Diego, California; the Hampton Roads, Virginia area or Jacksonville, FL •At least three years of hands-on experience developing, operating, or supporting production data pipelines, data integrations, data warehouses, data lakes, or comparable enterprise data solutions. •Demonstrated proficiency with SQL and at least one general-purpose scripting or programming language, such as Python, for data extraction, transformation, validation, automation, and troubleshooting. •Experience with ETL/ELT concepts, relational data structures, data modeling, schema design, source-to-target mapping, data quality, metadata, and lifecycle management. •Experience integrating data from multiple source types, including relational databases, APIs, flat files, application data, system logs, or message-based interfaces. •Working knowledge of cloud and on-premises infrastructure concepts, authentication and authorization, network connectivity, encryption, secure file transfer, and service accounts as they relate to data engineering. •Experience diagnosing production data issues, analyzing logs and metrics, resolving failed jobs or performance problems, and documenting root cause and corrective action. •Ability to work independently and collaboratively in a high-tempo operational environment, manage competing priorities, communicate technical information clearly, and produce complete technical documentation. •Working knowledge of PowerShell, Python, and Ansible, with practical familiarity using large language models (LLMs) and AI-enabled tools. These Qualifications Would be Nice to Have: •Business intelligence experience, including development or support of dashboards, reports, semantic models, key performance indicators, and self-service analytics solutions; experience with Microsoft Power BI (and associated DAX knowledge) is highly desirable. •Microsoft Certified: Azure Administrator Associate (AZ-104) certification. •Hands-on experience with Azure data and analytics services, such as Azure Data Factory, Azure SQL, Azure Storage, Synapse Analytics, Databricks, or comparable cloud data platforms. •Familiarity with Security Technical Implementation Guides (STIGs), the Risk Management Framework (RMF), vulnerability management processes, system hardening, security controls, and applicable compliance frameworks. •Experience using automation, configuration-management, source-control, or continuous integration and delivery tools such as Ansible, Jenkins, and Bitbucket. •Experience designing or supporting data solutions in classified, DoD, federal government, or other highly regulated environments. •Experience with modern data-platform concepts and technologies, including data lakes, lake houses, dimensional modeling, streaming or event-driven data, distributed processing, or containerized workloads. •Experience implementing data cataloging, lineage, master or reference data, role-based access controls, audit logging, backup and recovery, and disaster-recovery practices. •Relevant technical certifications in Azure, data engineering, database administration, analytics, cloud architecture, or security. •Strong customer engagement, requirements analysis, technical presentation, mentoring, and cross-functional collaboration skills. •Experience with graph databases (e.g., Neo4j) and query languages such as Cypher; modeling entities and relationships as a property graph. •Familiarity with knowledge graphs, ontologies, or semantic data models and controlled vocabularies. •Experience with entity resolution / record linkage and reconciling conflicting values across multiple authoritative sources into a single trusted record. NGEN If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:August 11, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos . click apply for full job details
08/22/2026
Full time
Job Description Description More About the Role: Leidos is seeking a Site Reliability Engineer (SRE) Data Engineer supporting the largest IT services program for the Navy. Under the Service Management, Integration, and Transport (SMIT) program, the Leidos team delivers the core backbone of the Navy-Marine Corps Intranet, including cybersecurity services, network operations, service desk, and data transport. Leidos supports the Navy in unifying its shore-based networks and data management to improve capability and service while also saving significant dollars by focusing efforts under one enterprise network. As part of the SRE organization you will develop and execute tests focused on system resilience, performance underload, and failure scenarios. You will also work in tandem with other Site Reliability Engineers (SREs) and development teams to create automated testing frameworks that simulate real-world conditions that validate system behavior under normal and stress conditions, ensuring our services are resilient and meet established service level objectives (SLOs) The SRE will support the operations and maintenance of the enterprise network. Your work will contribute to the development of robust and scalable services that operate reliably in production. The Data Engineer designs, builds, integrates, and sustains secure enterprise data solutions that enable reliable analytics, reporting, operational insight, and informed decision-making. The position develops scalable data pipelines, integrates data from diverse sources, improves data quality and availability, and supports cloud and on-premises platforms in a mission-critical environment. The Data Engineer works closely with business intelligence, cybersecurity, infrastructure, application, and program teams to translate operational requirements into governed, supportable, and reusable data products; and will contribute to modernization activities in an Agile/DevOps operating culture. What You'll Get to Do: •Design, develop, test, deploy, and maintain scalable ETL/ELT pipelines that collect, transform, validate, and deliver structured and unstructured data from enterprise systems, applications, APIs, logs, files, and databases. •Build and optimize data models, schemas, tables, views, and curated data sets that support analytics, business intelligence, operational reporting, and downstream application requirements. •Develop data-processing solutions using SQL, Python, and other approved technologies; apply reusable engineering patterns, source control, peer review, and documented release practices. •Integrate cloud and on-premises data platforms while supporting secure data movement, interoperability, availability, retention, and performance across hybrid enterprise environments. •Implement automated data-quality checks, reconciliation controls, monitoring, alerting, and exception handling to identify incomplete, inaccurate, duplicated, delayed, or failed data flows. •Troubleshoot pipeline failures, data discrepancies, performance degradation, access issues, and integration defects; perform root-cause analysis and implement corrective and preventive actions. •Partner with analysts, business intelligence developers, data owners, system administrators, and mission stakeholders to define data requirements, source-to-target mappings, transformation rules, service expectations, and acceptance criteria. •Apply data governance, security, privacy, least-privilege access, auditability, and records-retention requirements throughout the data lifecycle in coordination with cybersecurity and compliance teams. •Support platform upgrades, data migrations, modernization initiatives, capacity planning, and performance tuning while minimizing disruption to production services. •Create and maintain technical documentation, including architecture diagrams, data dictionaries, lineage documentation, interface specifications, runbooks, standard operating procedures, and troubleshooting guides. •Participate in Agile planning, backlog refinement, technical reviews, demonstrations, incident response, and after-hours support activities when required to sustain mission-critical services. You'll Bring These Qualifications: •Requires B.S Degree and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience in data engineering, computer science, information systems, software engineering, mathematics, or a related technical discipline, with at least four years of relevant experience; additional directly related experience may be considered in place of a degree. •Must be a U.S. citizen and possess an active DoD Secret Security Clearance. •Must possess and maintain an IAT Level II certification that satisfies applicable DoD cybersecurity workforce requirements. •Must be located in (or able to work onsite at Navy Base as required) either San Diego, California; the Hampton Roads, Virginia area or Jacksonville, FL •At least three years of hands-on experience developing, operating, or supporting production data pipelines, data integrations, data warehouses, data lakes, or comparable enterprise data solutions. •Demonstrated proficiency with SQL and at least one general-purpose scripting or programming language, such as Python, for data extraction, transformation, validation, automation, and troubleshooting. •Experience with ETL/ELT concepts, relational data structures, data modeling, schema design, source-to-target mapping, data quality, metadata, and lifecycle management. •Experience integrating data from multiple source types, including relational databases, APIs, flat files, application data, system logs, or message-based interfaces. •Working knowledge of cloud and on-premises infrastructure concepts, authentication and authorization, network connectivity, encryption, secure file transfer, and service accounts as they relate to data engineering. •Experience diagnosing production data issues, analyzing logs and metrics, resolving failed jobs or performance problems, and documenting root cause and corrective action. •Ability to work independently and collaboratively in a high-tempo operational environment, manage competing priorities, communicate technical information clearly, and produce complete technical documentation. •Working knowledge of PowerShell, Python, and Ansible, with practical familiarity using large language models (LLMs) and AI-enabled tools. These Qualifications Would be Nice to Have: •Business intelligence experience, including development or support of dashboards, reports, semantic models, key performance indicators, and self-service analytics solutions; experience with Microsoft Power BI (and associated DAX knowledge) is highly desirable. •Microsoft Certified: Azure Administrator Associate (AZ-104) certification. •Hands-on experience with Azure data and analytics services, such as Azure Data Factory, Azure SQL, Azure Storage, Synapse Analytics, Databricks, or comparable cloud data platforms. •Familiarity with Security Technical Implementation Guides (STIGs), the Risk Management Framework (RMF), vulnerability management processes, system hardening, security controls, and applicable compliance frameworks. •Experience using automation, configuration-management, source-control, or continuous integration and delivery tools such as Ansible, Jenkins, and Bitbucket. •Experience designing or supporting data solutions in classified, DoD, federal government, or other highly regulated environments. •Experience with modern data-platform concepts and technologies, including data lakes, lake houses, dimensional modeling, streaming or event-driven data, distributed processing, or containerized workloads. •Experience implementing data cataloging, lineage, master or reference data, role-based access controls, audit logging, backup and recovery, and disaster-recovery practices. •Relevant technical certifications in Azure, data engineering, database administration, analytics, cloud architecture, or security. •Strong customer engagement, requirements analysis, technical presentation, mentoring, and cross-functional collaboration skills. •Experience with graph databases (e.g., Neo4j) and query languages such as Cypher; modeling entities and relationships as a property graph. •Familiarity with knowledge graphs, ontologies, or semantic data models and controlled vocabularies. •Experience with entity resolution / record linkage and reconciling conflicting values across multiple authoritative sources into a single trusted record. NGEN If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:August 11, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos . click apply for full job details
Leidos
Software Engineer
Leidos Washington, Washington DC
Job Description Description Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Leidos has an exciting opening for you as our next TS/SCI cleared Software Engineer supporting a long-term DIA-NDOC DOMEX Technology Platform (DTP) contract. You will work closely with Systems Engineers, Software Engineers, Architects, and Operations Engineering/Manager on a broad scope of activities extending across the development of systems to include middle-tier and backend engineering tasks. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables. Specifically, we are looking for a skilled Python developer to join our team to build and maintain scalable microservices that interface with Kafka for real-time messaging and Elasticsearch for data indexing and search. You'll deploy and monitor your services in a Kubernetes environment and collaborate with cross-functional teams in designing reliable, observable, and secure systems. Our client's overall mission is to design and implement a data centric architecture that leverages cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems. You will work closely with the team on the following key tasks Design, develop, test, and maintain Python microservices Implement message consumers and producers with Apache Kafka Integrate with Elasticsearch for real-time and batch data indexing and querying Write unit and integration tests; ensure high code coverage and reliability Build CI/CD pipelines for your services and deploy them in Kubernetes clusters Participate in design discussions, code reviews, and architecture planning Monitor and troubleshoot production issues with observability tools Contribute to technical documentation and knowledge sharing within the team Utilizes software engineering and design methodologies appropriate to the development, integration, and production environment Foster an environment of collaboration with the different team members in the goal of providing quality service and product to our customers To be successful in this role you need these skills (required): Bachelor's Degree and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph Proficiency in Python and related backend frameworks (e.g., FastAPI, Flask). Experience with containerization, especially with Docker Experience in Extraction, Transformation, and Load (ETL) Hands-on development experience in a Linux environment including bash or bash-like scripting Strong understanding of RESTful APIs and microservice architecture Hands-on experience with Kubernetes: deploying, monitoring, and debugging services Understanding of common design patterns, security practices, and logging/monitoring principles Familiarity with Git and collaborative workflows (PRs, reviews) Experience with DevOps practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins Strong verbal and written communication skills Experience with AGILE practices Enthusiastic with the ability to work well in a team and a self-starter who can work on their own You will wow us even more if you have some of these skills: Experience with designing and implementing software development kits Familiarity DGX (Deep GPU Xceleration) Active Security+ certification and ability to obtain Privileged User Account (PUA) certification by the Government Elasticsearch certifications or other program stack related certifications Experience of a production/enterprise systems at scale Knowledge of distributed systems concepts (e.g., idempotency, eventual consistency) Familiarity with schema registries and Kafka streaming patterns Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner. Experience with Amazon Web Services (AWS/C2S) Familiarity or experience with building applications around Large Language Models, Agentic AI If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:July 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
08/22/2026
Full time
Job Description Description Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Leidos has an exciting opening for you as our next TS/SCI cleared Software Engineer supporting a long-term DIA-NDOC DOMEX Technology Platform (DTP) contract. You will work closely with Systems Engineers, Software Engineers, Architects, and Operations Engineering/Manager on a broad scope of activities extending across the development of systems to include middle-tier and backend engineering tasks. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables. Specifically, we are looking for a skilled Python developer to join our team to build and maintain scalable microservices that interface with Kafka for real-time messaging and Elasticsearch for data indexing and search. You'll deploy and monitor your services in a Kubernetes environment and collaborate with cross-functional teams in designing reliable, observable, and secure systems. Our client's overall mission is to design and implement a data centric architecture that leverages cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems. You will work closely with the team on the following key tasks Design, develop, test, and maintain Python microservices Implement message consumers and producers with Apache Kafka Integrate with Elasticsearch for real-time and batch data indexing and querying Write unit and integration tests; ensure high code coverage and reliability Build CI/CD pipelines for your services and deploy them in Kubernetes clusters Participate in design discussions, code reviews, and architecture planning Monitor and troubleshoot production issues with observability tools Contribute to technical documentation and knowledge sharing within the team Utilizes software engineering and design methodologies appropriate to the development, integration, and production environment Foster an environment of collaboration with the different team members in the goal of providing quality service and product to our customers To be successful in this role you need these skills (required): Bachelor's Degree and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph Proficiency in Python and related backend frameworks (e.g., FastAPI, Flask). Experience with containerization, especially with Docker Experience in Extraction, Transformation, and Load (ETL) Hands-on development experience in a Linux environment including bash or bash-like scripting Strong understanding of RESTful APIs and microservice architecture Hands-on experience with Kubernetes: deploying, monitoring, and debugging services Understanding of common design patterns, security practices, and logging/monitoring principles Familiarity with Git and collaborative workflows (PRs, reviews) Experience with DevOps practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins Strong verbal and written communication skills Experience with AGILE practices Enthusiastic with the ability to work well in a team and a self-starter who can work on their own You will wow us even more if you have some of these skills: Experience with designing and implementing software development kits Familiarity DGX (Deep GPU Xceleration) Active Security+ certification and ability to obtain Privileged User Account (PUA) certification by the Government Elasticsearch certifications or other program stack related certifications Experience of a production/enterprise systems at scale Knowledge of distributed systems concepts (e.g., idempotency, eventual consistency) Familiarity with schema registries and Kafka streaming patterns Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner. Experience with Amazon Web Services (AWS/C2S) Familiarity or experience with building applications around Large Language Models, Agentic AI If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:July 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Software Developer, Advanced
Naval Nuclear Laboratory Schenectady, New York
Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description Join the Naval Nuclear Laboratory (NNL) as a Software Developer and help modernize the financial systems that power the Naval Reactors Program. In this role, you'll work with Enterprise Resource Planning (ERP), Time Management System (TMS), and Enterprise Performance Management (EPM) platforms-driving the transition to secure cloud-based SaaS solutions and infusing AI/ML to improve forecasting, analytics, and decision making. You'll collaborate across Financial Services, Procurement, Materials & Information Management, IT, and HR to deliver high impact solutions within the Business Systems Program Management Office, a fast-paced environment focused on optimizing business operations. What You'll Do: Contribute to AI/ML initiatives that automate and enhance financial processes (e.g., forecasting, budgeting, anomaly detection) under the guidance of senior developers and analysts. Develop and enhance components of ERP, TMS, and EPM solutions, and assist with cloud/SaaS migrations in collaboration with senior developers and architects. Design, build, and enhance reporting and data solutions that incorporate AI/ML?driven insights, working closely with analytics and business teams. Translate defined business requirements into clear technical designs for features and enhancements, and participate in validating new features and upgrades (testing, documentation, and user feedback). Implement and maintain data and analytics features, including near real?time reporting, that reduce manual work and support data?driven decisions. Follow established best practices, security standards, and ethical AI guidelines, and apply them consistently in your code and solutions. Collaborate with IT, business units, and other stakeholders to deliver modern, AI?enhanced capabilities as part of a cross?functional team. Required Combination of Knowledge and Skill Bachelor's degree from an accredited college or university and a minimum of 4 years of relevant experience; or Master's degree from an accredited college or university in a related field and a minimum of 2 years of relevant experience. Preferred Skills Experience working with ERP/TMS/EPM cloud solutions; Oracle ERP experience preferred. Hands on experience with Java or similar languages, relational databases (e.g., SQL Server, Oracle), and building or maintaining data pipelines. Experience building integrations and data workflows (e.g., REST APIs, ETL tools, Azure Data Factory, SSIS) and working with data warehouse or data lake environments. Familiarity with cloud platforms (preferably Azure) and DevOps practices, including Git based source control, CI/CD pipelines, and automated testing. Familiarity with AI/ML tools and platforms (e.g., Azure ML, Microsoft Copilot, SpyglassGPT or similar), and ability to consume and integrate AI/ML services or models via APIs with attention to data privacy and responsible AI. Experience creating reports, dashboards, or apps using tools such as Power BI and Power Apps, and exposure to ServiceNow for workflow or ticketing; experience with scripting or automation (e.g., Python, PowerShell) is a plus. Understanding of common software design principles and patterns, and ability to collaborate effectively with other developers, analysts, and business stakeholders in a cross functional team. Strong written and verbal communication skills and demonstrated problem solving and analytical abilities. Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $86,100.00 - $134,600.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.
08/13/2026
Full time
Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description Join the Naval Nuclear Laboratory (NNL) as a Software Developer and help modernize the financial systems that power the Naval Reactors Program. In this role, you'll work with Enterprise Resource Planning (ERP), Time Management System (TMS), and Enterprise Performance Management (EPM) platforms-driving the transition to secure cloud-based SaaS solutions and infusing AI/ML to improve forecasting, analytics, and decision making. You'll collaborate across Financial Services, Procurement, Materials & Information Management, IT, and HR to deliver high impact solutions within the Business Systems Program Management Office, a fast-paced environment focused on optimizing business operations. What You'll Do: Contribute to AI/ML initiatives that automate and enhance financial processes (e.g., forecasting, budgeting, anomaly detection) under the guidance of senior developers and analysts. Develop and enhance components of ERP, TMS, and EPM solutions, and assist with cloud/SaaS migrations in collaboration with senior developers and architects. Design, build, and enhance reporting and data solutions that incorporate AI/ML?driven insights, working closely with analytics and business teams. Translate defined business requirements into clear technical designs for features and enhancements, and participate in validating new features and upgrades (testing, documentation, and user feedback). Implement and maintain data and analytics features, including near real?time reporting, that reduce manual work and support data?driven decisions. Follow established best practices, security standards, and ethical AI guidelines, and apply them consistently in your code and solutions. Collaborate with IT, business units, and other stakeholders to deliver modern, AI?enhanced capabilities as part of a cross?functional team. Required Combination of Knowledge and Skill Bachelor's degree from an accredited college or university and a minimum of 4 years of relevant experience; or Master's degree from an accredited college or university in a related field and a minimum of 2 years of relevant experience. Preferred Skills Experience working with ERP/TMS/EPM cloud solutions; Oracle ERP experience preferred. Hands on experience with Java or similar languages, relational databases (e.g., SQL Server, Oracle), and building or maintaining data pipelines. Experience building integrations and data workflows (e.g., REST APIs, ETL tools, Azure Data Factory, SSIS) and working with data warehouse or data lake environments. Familiarity with cloud platforms (preferably Azure) and DevOps practices, including Git based source control, CI/CD pipelines, and automated testing. Familiarity with AI/ML tools and platforms (e.g., Azure ML, Microsoft Copilot, SpyglassGPT or similar), and ability to consume and integrate AI/ML services or models via APIs with attention to data privacy and responsible AI. Experience creating reports, dashboards, or apps using tools such as Power BI and Power Apps, and exposure to ServiceNow for workflow or ticketing; experience with scripting or automation (e.g., Python, PowerShell) is a plus. Understanding of common software design principles and patterns, and ability to collaborate effectively with other developers, analysts, and business stakeholders in a cross functional team. Strong written and verbal communication skills and demonstrated problem solving and analytical abilities. Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $86,100.00 - $134,600.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.
Software Developer, Advanced
Naval Nuclear Laboratory West Mifflin, Pennsylvania
Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description Join the Naval Nuclear Laboratory (NNL) as a Software Developer and help modernize the financial systems that power the Naval Reactors Program. In this role, you'll work with Enterprise Resource Planning (ERP), Time Management System (TMS), and Enterprise Performance Management (EPM) platforms-driving the transition to secure cloud-based SaaS solutions and infusing AI/ML to improve forecasting, analytics, and decision making. You'll collaborate across Financial Services, Procurement, Materials & Information Management, IT, and HR to deliver high impact solutions within the Business Systems Program Management Office, a fast-paced environment focused on optimizing business operations. What You'll Do: Contribute to AI/ML initiatives that automate and enhance financial processes (e.g., forecasting, budgeting, anomaly detection) under the guidance of senior developers and analysts. Develop and enhance components of ERP, TMS, and EPM solutions, and assist with cloud/SaaS migrations in collaboration with senior developers and architects. Design, build, and enhance reporting and data solutions that incorporate AI/ML?driven insights, working closely with analytics and business teams. Translate defined business requirements into clear technical designs for features and enhancements, and participate in validating new features and upgrades (testing, documentation, and user feedback). Implement and maintain data and analytics features, including near real?time reporting, that reduce manual work and support data?driven decisions. Follow established best practices, security standards, and ethical AI guidelines, and apply them consistently in your code and solutions. Collaborate with IT, business units, and other stakeholders to deliver modern, AI?enhanced capabilities as part of a cross?functional team. Required Combination of Knowledge and Skill Bachelor's degree from an accredited college or university and a minimum of 4 years of relevant experience; or Master's degree from an accredited college or university in a related field and a minimum of 2 years of relevant experience. Preferred Skills Experience working with ERP/TMS/EPM cloud solutions; Oracle ERP experience preferred. Hands on experience with Java or similar languages, relational databases (e.g., SQL Server, Oracle), and building or maintaining data pipelines. Experience building integrations and data workflows (e.g., REST APIs, ETL tools, Azure Data Factory, SSIS) and working with data warehouse or data lake environments. Familiarity with cloud platforms (preferably Azure) and DevOps practices, including Git based source control, CI/CD pipelines, and automated testing. Familiarity with AI/ML tools and platforms (e.g., Azure ML, Microsoft Copilot, SpyglassGPT or similar), and ability to consume and integrate AI/ML services or models via APIs with attention to data privacy and responsible AI. Experience creating reports, dashboards, or apps using tools such as Power BI and Power Apps, and exposure to ServiceNow for workflow or ticketing; experience with scripting or automation (e.g., Python, PowerShell) is a plus. Understanding of common software design principles and patterns, and ability to collaborate effectively with other developers, analysts, and business stakeholders in a cross functional team. Strong written and verbal communication skills and demonstrated problem solving and analytical abilities. Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $86,100.00 - $134,600.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.
08/13/2026
Full time
Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description Join the Naval Nuclear Laboratory (NNL) as a Software Developer and help modernize the financial systems that power the Naval Reactors Program. In this role, you'll work with Enterprise Resource Planning (ERP), Time Management System (TMS), and Enterprise Performance Management (EPM) platforms-driving the transition to secure cloud-based SaaS solutions and infusing AI/ML to improve forecasting, analytics, and decision making. You'll collaborate across Financial Services, Procurement, Materials & Information Management, IT, and HR to deliver high impact solutions within the Business Systems Program Management Office, a fast-paced environment focused on optimizing business operations. What You'll Do: Contribute to AI/ML initiatives that automate and enhance financial processes (e.g., forecasting, budgeting, anomaly detection) under the guidance of senior developers and analysts. Develop and enhance components of ERP, TMS, and EPM solutions, and assist with cloud/SaaS migrations in collaboration with senior developers and architects. Design, build, and enhance reporting and data solutions that incorporate AI/ML?driven insights, working closely with analytics and business teams. Translate defined business requirements into clear technical designs for features and enhancements, and participate in validating new features and upgrades (testing, documentation, and user feedback). Implement and maintain data and analytics features, including near real?time reporting, that reduce manual work and support data?driven decisions. Follow established best practices, security standards, and ethical AI guidelines, and apply them consistently in your code and solutions. Collaborate with IT, business units, and other stakeholders to deliver modern, AI?enhanced capabilities as part of a cross?functional team. Required Combination of Knowledge and Skill Bachelor's degree from an accredited college or university and a minimum of 4 years of relevant experience; or Master's degree from an accredited college or university in a related field and a minimum of 2 years of relevant experience. Preferred Skills Experience working with ERP/TMS/EPM cloud solutions; Oracle ERP experience preferred. Hands on experience with Java or similar languages, relational databases (e.g., SQL Server, Oracle), and building or maintaining data pipelines. Experience building integrations and data workflows (e.g., REST APIs, ETL tools, Azure Data Factory, SSIS) and working with data warehouse or data lake environments. Familiarity with cloud platforms (preferably Azure) and DevOps practices, including Git based source control, CI/CD pipelines, and automated testing. Familiarity with AI/ML tools and platforms (e.g., Azure ML, Microsoft Copilot, SpyglassGPT or similar), and ability to consume and integrate AI/ML services or models via APIs with attention to data privacy and responsible AI. Experience creating reports, dashboards, or apps using tools such as Power BI and Power Apps, and exposure to ServiceNow for workflow or ticketing; experience with scripting or automation (e.g., Python, PowerShell) is a plus. Understanding of common software design principles and patterns, and ability to collaborate effectively with other developers, analysts, and business stakeholders in a cross functional team. Strong written and verbal communication skills and demonstrated problem solving and analytical abilities. Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $86,100.00 - $134,600.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.

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