All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution.
Data Engineer Summary: Lead data architecture and database operations, ensuring reliable, high-performing, and well-governed data services that support contract writing, reporting, modernization, and enterprise data quality through common data models and structures.
Required Skills:
- Bachelor’s degree in Data Engineering, Computer Science, Information Systems, Data Science, Analytics, or a related technical field
- Relevant certification(s) in data engineering, cloud platforms, databases, Agile methodologies and CompTIA Security+
- 4+ Years in data engineering, ETL/ELT, database design/development, data integration, data migration, APIs and data pipelines
- Experience designing, developing, and supporting solutions using Oracle Database, Amazon RDS for Oracle, PostgreSQL, AWS data services, ETL/ELT technologies
- Active Secret clearance; ability to obtain Top Secret clearance based on Government requirements.
Desired Qualifications:
- Experience managing data supporting Appian environments
- Experience with Oracle environments, data warehouse or business intelligence support, phased data migration, contract-related data, and collaboration with architects, developers, and operational stakeholders in federal mission systems is strongly desired
- Knowledge of data warehousing, reporting feeds, metadata, data lineage, and integration patterns.
- Oracle certification preferred
Responsibilities:
- Develop and maintain ACWS data pipelines, mappings, integrations, and reporting feeds.
- Support data migration, transformation, validation, reconciliation, and quality management.
- Coordinate data requirements with BI, application, architecture, and database teams.
- Document data flows, transformation logic, assumptions, and validation outcomes.
- Recommend improvements to data reliability, automation, analytics readiness, and governance
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The posted salary range is a good-faith estimate. Actual compensation will be based on the selected candidate’s qualifications, experience, skills, and other job-related factors.
Many of DSA's positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. DSA is proud to be an Equal Opportunity Employer. DSA is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. DSA requires background checks , where permitted , by law. DSA is an E-Verify Employer.
Skills Required
- Bachelor's degree in Data Engineering, Computer Science, Information Systems, Data Science, Analytics, or a related technical field
- Relevant certifications in data engineering, cloud platforms, databases, Agile methodologies, and CompTIA Security+
- At least 4 years of experience in data engineering, ETL/ELT, database design and development, data integration, data migration, APIs, and data pipelines
- Experience designing, developing, and supporting solutions using Oracle Database, Amazon RDS for Oracle, PostgreSQL, AWS data services, and ETL/ELT technologies
- Active Secret security clearance
- Ability to obtain Top Secret clearance based on government requirements
- Experience managing data supporting Appian environments
- Experience with Oracle environments, data warehousing or business intelligence support, phased data migration, contract-related data, and federal mission systems
- Knowledge of data warehousing, reporting feeds, metadata, data lineage, and integration patterns
- Oracle certification
- Experience with Microsoft Copilot or an approved equivalent AI solution
What We Do
Data Systems Analysts, Inc. (DSA) is a 100% employee-owned company providing mission-essential information technology solutions for Defense, Federal Government, Academia, and Commercial customers. Established in 1963, DSA specializes in systems engineering and integration, software development, data analytics, cyber operations, and critical infrastructure intelligence systems to help customers achieve sensitive, mission-critical goals.
