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Data Engineer (REL) 16139
Data Engineer (REL) 16139QED National • USA, Virginia, Vienna
Data Engineer (REL) 16139

Data Engineer (REL) 16139

QED National • USA, Virginia, Vienna
8 hours ago
Job type
  • Full-time
Job description

Position Title : Data Engineer

Location : Tysons, VA / Winchester, VA / Pensacola, FL (Hybrid)

Clearance Requirements : None

Position Status : Contract to Hire

Pay Rate : DOE

Position Description :

We're seeking a Data Engineer to design, develop, and optimize data pipelines and cloud-based data systems that enable seamless data collection, integration, and analysis. In this role, you'll collaborate closely with stakeholders to translate business needs into scalable data solutions, ensuring data quality, performance, and governance across all systems.

You will work hands-on with Azure Data Factory, SQL Server Integration Services (SSIS), MongoDB, and Databricks, building and maintaining data workflows that drive insight and decision-making. This is an excellent opportunity for a results-oriented professional eager to grow in a collaborative, forward-thinking data environment.

Key Responsibilities :

  • Design, develop, and maintain end-to-end data pipelines using Azure Data Factory, SSIS, and related ETL tools.
  • Ingest, transform, and load data from diverse sources (including APIs, JSON, and NoSQL databases) into structured SQL environments.
  • Implement and enforce data governance, lineage tracking, and quality standards to ensure system reliability and consistency.
  • Collaborate with business and technical teams to gather data requirements and design efficient, scalable solutions.
  • Optimize existing data workflows for performance, scalability, and cost efficiency.
  • Query and integrate data from MongoDB, SQL, and other data warehousing solutions.
  • Apply best practices in metadata management, data security, and cloud architecture.
  • Support ongoing data analytics and reporting initiatives in partnership with cross-functional teams.

Required Skills & Education :

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 3-5 years of hands-on experience in Data Engineering, Data Integration, or ETL Development.
  • Advanced proficiency in SQL, API frameworks, and JSON transformations.
  • Experience with Azure Data Factory, SQL Server Integration Services (SSIS), Databricks, and data warehousing solutions (Azure SQL, MongoDB, etc.).
  • Familiarity with Python, PowerShell, R, or C# for data automation and transformation.
  • Strong understanding of data modeling, data architecture, and ETL design principles.
  • Excellent problem-solving, communication, and teamwork skills.
  • Proven ability to work in a collaborative, hybrid work environment.
  • Preferred Qualifications (Nice to Have) :

  • Experience implementing data governance frameworks and metadata management solutions.
  • Exposure to cloud data platforms (Azure Synapse, AWS Redshift, Snowflake).
  • Understanding of CI / CD pipelines and DevOps practices for data engineering.
  • About Seneca Resources

    At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.

    When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way.

    Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.

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    Data Engineer • USA, Virginia, Vienna

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