Data Engineer

VERSA Integrated Solutions
Washington, DC, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Compensation
$120,000.0 - $150,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Batch Processing Cloud Computing Cloud Database Information Systems Databases Data as a Services Data Cleansing
+49 more
Data Infrastructure Data Integration Extract Transform Load (ETL) Database Development Executive Information Systems Github Monitoring of Systems JSON Python (Programming Language) PostgreSQL Machine Learning Microsoft SQL Server SQL Azure Oracle (Applications) Performance Tuning Windows PowerShell Power BI Standard Sql Azure Data Lake Tableau (Software) Unstructured Data Extensible Markup Language (XML) Enterprise Data Management Azure Data Factory Snowflake Apache Spark HybridCloud Git Microsoft Fabric Data Lakes Pyspark Kubernetes Information Technology Data Lineage Deployment Automation AWS Glue Apache Kafka Data Management Machine Learning Operations Data Lakehouse Video Streaming Restful APIs Terraform Azure Synapse Analytics Data Pipelines Devsecops Docker Amazon Redshift Databricks

Job description

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., 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

Requirements

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.

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Life insurance, Join a team building modern data platforms that enable Federal agencies to leverage artificial intelligence, cloud computing, and enterprise analytics to accomplish mission objectives.

Equal Employment Opportunity

VERSA Integrated Solutions is an Equal Opportunity Employer committed to diversity, inclusion, and equal opportunity for all qualified applicants.

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

Benefits:

  • 401(k) matching
  • Health insurance
  • Life insurance
  • Paid time off
  • Vision insurance

About the company

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.

Apply for this position

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