Data Engineer (Senior)Hybrid

Job Title: Data Engineer (Senior)

Location: Hybrid (Washington DC / Macon GA / Boyers PA)

Duration: 1 Year Base 4 Option Years

Job Description:

Design build and maintain scalable data pipelines and data platforms supporting enterprise analytics reporting and mission-critical systems. Responsible for enabling data-driven decision-making through efficient data architecture integration and governance aligned with Federal standards.

Key Responsibilities:

• Design and implement scalable ETL/ELT pipelines and data workflows
• Build and manage data lakes data warehouses and real-time data processing systems
• Develop data quality frameworks validation processes and monitoring mechanisms
• Optimize data processing performance scalability and cost efficiency
• Collaborate with data scientists analysts and business stakeholders to ensure data availability and usability
• Implement data governance security and privacy controls
• Support structured and unstructured data integration from multiple sources
• Evaluate and implement modern data tools frameworks and technologies
• Create and maintain technical documentation for data architecture and pipelines
• Mentor junior data engineers and establish data engineering best practices

Minimum Requirements & Education:

• BA/BS in Computer Science Engineering or related field with 5 8 years of experience

OR

• MS degree with 3 5 years of relevant experience

Required Qualifications:

• Prior Federal experience required
• Strong experience in data engineering ETL development and data warehousing
• Experience with SQL Python and data processing frameworks
• Hands-on experience with Databricks Spark or similar platforms
• Experience working with cloud environments (AWS / Azure)
• Understanding of data governance data security and compliance standards
• Ability to obtain and maintain Public Trust Clearance

Preferred Qualifications:

• Experience with Power BI or other BI/visualization tools
• Experience supporting large-scale data modernization initiatives
• Familiarity with real-time/streaming technologies (e.g. Kafka Spark Streaming)
• Cloud certifications (AWS / Azure Data Engineer)
• Agile / Scrum experience