Data Engineer

🕒 October 29, 2025

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Analytica

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏛️ Government

B2B • Government • Consulting

Analytica is a rapidly growing SBA-Certified 8(a) Small Business that specializes in providing advanced analytics, digital transformation, and enterprise data management services primarily to federal agencies. The company focuses on simplifying complex data to enable its clients to make informed decisions, thereby driving success in their missions and citizen services. With a strong emphasis on management consulting and federal technology training, Analytica employs a data-driven approach to enhance the capabilities of government IT systems and organizations. The company is renowned for its collaborative culture and commitment to employee development, ensuring quality service delivery. Analytica is recognized for its support in public sector innovation and adheres to industry standards like Agile, SAFe, and CMMI. Their mission is to assist the government in utilizing digital tools and data analytics to improve service delivery to citizens.

📋 Description

• Translate business requirements to data engineering solutions to support an enterprise scale AWS and/or Databricks based data environments. • Support designing, maintaining, automating and optimizing ETL operations ensuring data quality and efficient data management. • Design, build, and optimize scalable data solutions using a Medallion Architecture. • Manage ingestion routines for processing multi-terabyte datasets efficiently for multiple projects simultaneously. • Integrate data from various structured and unstructured sources to enable high-quality business insights. • Implement effective data management strategies to ensure data integrity, availability, and accessibility. • Identify opportunities for cost optimization in data storage, processing, and analytics operations. • Monitor and support user requests, addressing platform or performance issues, cluster stability, Spark optimization, and configuration management. • Collaborate with the team to enable advanced AI-driven analytics and data science workflows.

🎯 Requirements

• 5+ years of hands-on Data Integration experience creating and maintaining efficient scripts/data pipelines to clean, transform and ingest data from a variety of formats into database tables, data warehouses or data lake repositories. • 3+ years of experience using SQL and Python to manipulate, profile and build data products • Strong Experience building data pipelines using Databricks and/or AWS serverless components; using AWS Glue to build, maintain and monitor ETL jobs; using Python to implement ETL scripts and AWS Secrets Manager to manage credentials. • Databricks and/or AWS Data Engineer Certification is strongly preferred. • Proficient written, verbal, and client communication and presentation skills • Must be US Citizen and be able to obtain and maintain a Public Trust security clearance

🏖️ Benefits

• Our compensation packages include not only base salary but also a range of incentive bonus programs to reward outstanding performance and contributions