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Senior Data Engineer

washington, DC

Check who can apply and the requirements below before continuing.

About this opportunity

Careers lists this Senior Data Engineer opportunity in washington, District of Columbia. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver. We combine mission experience, domain knowledge and technology expertise with the things partners can only know by being there every day. When agencies need a combination of tech and touch, Ignite Digital creates outcome-driving partnerships and stands with agencies to accomplish mission objectives. Ignite Digital accelerates capability to the speed of every mission, deploying intelligent solutions and AI integration for faster, better transformation. Ignite delivers partnership beyond presentations to inspire the confidence to lead in a digital-forward world. Ignite Digital. The Edge from Within.

Perks Of Working At Ignite Digital

Competitive pay and benefits, including PTO

Education stipends and referral bonuses

Compelling work with the U.S. federal government

Strong emphasis on volunteer and community engagement

Opportunity to shape the future of our industry

Supportive colleagues and management who invest in your growth

This role will be supporting the Office of the Under Secretary of War for Acquisition & Sustainment (OUSW(A&S)) in the execution of a next-generation acquisition digital platform pilot focused on modernizing acquisition decision-making through data-centric, AI-ready capabilities. The effort supports the Department of War's broader Acquisition Transformation Strategy and is intended to accelerate the integration of modern commercial technologies into the acquisition ecosystem. The pilot will focus on aggregating, modeling, integrating, and analyzing acquisition lifecycle data across multiple domains, including industrial base, logistics & sustainment, programs & portfolios, and supply chain operations, to provide actionable insights and decision advantage for tactical and strategic stakeholders. The initial MVP/prototype is expected to serve as the foundation for additional enterprise Snowflake pilots and broader Department-wide digital transformation initiatives.

Ignite Digital is seeking a highly motivated Senior Data Engineer with strong Python, SQL, and enterprise data engineering experience to help architect, build, and scale modern data pipelines, data models, analytics workflows, and AI-ready data environments supporting this high-visibility initiative.

Required Qualifications

Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or related technical discipline.

6 years of experience designing, engineering, and implementing enterprise data solutions.

Experience analyzing mission or business use cases and translating high-level requirements into detailed technical and functional data requirements.

Deep understanding of designing and implementing scalable data architectures, data models, data standards, transformation logic, and integrated enterprise data solutions.

Experience aggregating and integrating data from disparate enterprise systems using APIs, ETL/ELT pipelines, and automated workflows.

Strong proficiency in Python and SQL for data engineering, automation, analytics, and API integration development.

Experience supporting enterprise data governance, metadata management, lineage tracking, and AI-ready data structures.

Skilled in designing data visualizations tailored to technical, operational, and executive-level audiences.

Experience collaborating with cross-functional technical and functional teams in Agile or iterative delivery environments.

Experience supporting product delivery timelines, sprint planning, milestone tracking, and risk identification/mitigation activities.

Experience supporting AI/ML-enabled analytics environments and familiarity with predictive analytics and machine learning workflows.

Strong written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

Ability to obtain a DOD Secret clearance

Preferred Qualifications

Experience supporting Department of War, Department of Navy, OUSW(A&S), acquisition, logistics, or sustainment organizations.

Experience with Snowflake, Databricks, or other data AI / analytic platforms.

Experience working in IL5 or regulated government cloud environments.

Experience supporting Authority to Operate (ATO) processes, security documentation, or secure platform deployments.

Active DOD Secret clearance

Locations: Washington, DC, Charleston, SC, San Diego, CA

Schedule: Hybrid 1-4 days a week onsite

Salary 115k to align with experience and education

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

Ignite Digital is a Small Business committed to providing exceptional service to government agencies at competitive prices. The capabilities and experience of our staff and our extensive industry relationships distinguish Ignite Digital Services among government contractors.

Equal Opportunity Employer/Veterans/Disabled

For individuals who would like to request an accommodation, please visit (CA) or (SC) or contact Human Resources. Ignite Digital Services will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal employment opportunity, employment eligibility requirements or related matters. Nor will Ignite Digital Services require, in a posting or otherwise, U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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Worksite address

washington, DC, 20022, US

Who can apply

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