Data Engineer

Position: Data Engineer

Department: Federal Programs

Location: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)

Employment Type: Full-Time

Salary: Commensurate with Experience

About VERSA Integrated Solutions

VERSA Integrated Solutions delivers innovative Cloud, Data, Artificial Intelligence, Cybersecurity, and Enterprise IT solutions to Federal Government agencies. We help agencies modernize mission-critical systems by implementing secure, scalable, cloud-native technologies that enable advanced analytics, operational excellence, and data-driven decision making.

Position Summary

VERSA Integrated Solutions is seeking a highly motivated Data Engineer to design, build, optimize, and maintain enterprise data platforms supporting Federal Government customers. The Data Engineer develops robust ETL/ELT pipelines, cloud-based data integration solutions, and enterprise data repositories that support business intelligence, artificial intelligence, reporting, and operational analytics.

The successful candidate will collaborate closely with Data Architects, AI/ML Engineers, Database Administrators, Software Developers, Cloud Engineers, and Business Analysts to ensure high-quality, secure, and scalable data solutions.

Position Objectives

The Data Engineer will:

Design enterprise data pipelines.• Integrate structured and unstructured data sources.• Support cloud data modernization initiatives.• Improve enterprise data quality.• Enable analytics and AI initiatives.• Automate data processing workflows.

Major Duties & Responsibilities

Data Pipeline Development

Design, develop, and maintain scalable ETL/ELT pipelines.• Integrate internal and external data sources.• Automate ingestion, transformation, and validation processes.• Optimize data movement across enterprise platforms.• Monitor pipeline performance and reliability.

Cloud Data Engineering

Support enterprise cloud platforms including:

Azure Data Factory• Azure Synapse Analytics• Azure Data Lake• Microsoft Fabric• AWS Glue• AWS Redshift• Databricks

Develop cloud-native data integration solutions supporting modernization initiatives.

Data Integration

Develop APIs supporting enterprise integrations.• Process structured, semi-structured, and unstructured data.• Build real-time and batch processing solutions.• Support streaming technologies such as Apache Kafka and Azure Event Hub.

Data Quality

Validate incoming datasets.• Develop automated quality checks.• Monitor completeness and accuracy.• Resolve data anomalies.• Implement data lineage and audit capabilities.

Analytics Support

Provide data services supporting:

Power BI• Tableau• AI/ML models• Executive dashboards• Predictive analytics• Operational reporting

DevSecOps

Collaborate with engineering teams to:

Automate deployments• Implement Infrastructure as Code• Support CI/CD pipelines• Improve monitoring and observability• Secure enterprise data environments

Required Technical Skills

Languages

Python• SQL• Spark• PySpark• PowerShell

Cloud

Azure• Azure Data Factory• Azure Synapse• Azure SQL• Azure Storage• Microsoft Fabric

Databases

SQL Server• PostgreSQL• Oracle• Snowflake• Databricks

Tools

Git• GitHub• Azure DevOps• Terraform• Docker• Kubernetes

Preferred Skills

Apache Kafka• Azure Event Hub• REST APIs• JSON/XML• Delta Lake• Data Lakehouse Architecture• AI data preparation• MLOps

Education

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

Experience Levels

Junior (0–4 Years)

SQL development• Python programming• ETL fundamentals• Database experience

Intermediate (5–9 Years)

Cloud data engineering• Azure or AWS experience• Production ETL development• API integration

Senior (10–14 Years)

Enterprise cloud modernization• Data platform leadership• Performance optimization• Mentoring junior engineers

SME (15+ Years)

Enterprise Data Engineering strategy• Federal modernization leadership• AI-enabled data platforms• Large-scale cloud migration

Preferred Certifications

Microsoft Certified: Azure Data Engineer Associate• Databricks Certified Data Engineer• AWS Certified Data Engineer• SnowPro Core• ITIL® Foundation

Desired Federal Experience

Experience supporting NIH, CMS, Census Bureau, Commerce, DHS, DOD, or other Federal agencies is highly desirable.

Security Clearance

Ability to obtain and maintain a Public Trust or higher clearance, depending on customer requirements.

Why Join VERSA?

Join a team building modern data platforms that enable Federal agencies to leverage artificial intelligence, cloud computing, and enterprise analytics to accomplish mission objectives.

Pay: $120,000.00 - $150,000.00 per year

Benefits:

401(k) matching

Health insurance

Life insurance

Paid time off

Vision insurance

Work Location: Hybrid remote in Washington, DC 20591