This is a remote position.
Location: Remote – United States
Our client, a growing technology services organization supporting federal government programs, is seeking an experienced Databricks Data Engineer to support a federal technology initiative.
This is a remote opportunity available to U.S. citizens residing in the United States. Candidates must currently hold an ACTIVE Secret security clearance or higher. Candidates without an active Secret-level clearance cannot be considered.
The ideal candidate will bring strong hands-on data engineering experience within Databricks, including development of production-grade batch and streaming pipelines, PySpark and SQL transformations, data modeling, ingestion frameworks, and modern data architecture practices.
- Design, build, and maintain batch and streaming data pipelines using PySpark, SQL, Databricks Workflows, and Delta Live Tables.
- Implement Medallion Architecture across bronze, silver, and gold data layers to support data quality, transformation, and consumption.
- Develop scalable ingestion frameworks for structured, semi-structured, and unstructured data.
- Integrate data from files, databases, APIs, and streaming sources such as Kafka, Kinesis, and Databricks Auto Loader.
- Design dimensional and domain-specific data models supporting analytics and downstream applications.
- Build and consume APIs for integration with downstream systems.
- Optimize Spark workloads for performance and cost through partitioning, caching, cluster sizing, and related techniques.
- Develop and implement data quality checks, validation processes, and pipeline monitoring.
- Maintain documentation covering data flows, lineage, architecture, and integration points.
- Collaborate with engineering, platform, architecture, and federal program stakeholders throughout the development lifecycle.
Requirements
- Active Secret security clearance or higher is required.
- 5+ years of professional data engineering experience.
- 2+ years of hands-on Databricks experience.
- Strong production-level experience with PySpark and SQL.
- Experience developing both batch and streaming data pipelines.
- Strong understanding of data modeling and modern data architecture principles.
- Proficiency with Python.
- Experience working within Git-based development and CI/CD environments.
- Familiarity with Databricks Unity Catalog, including catalogs, schemas, and permissions from a data engineering perspective.
- Experience integrating data from multiple source types, including databases, APIs, files, and streaming platforms.
- Experience with Databricks Delta Live Tables.
- Experience with Databricks Workflows.
- Experience with Kafka, Kinesis, or similar streaming technologies.
- Experience working within federal, regulated, or security-sensitive environments.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.
Skills Required
- Active Secret security clearance or higher
- 5+ years of professional data engineering experience
- 2+ years of hands-on Databricks experience
- Production-level experience with PySpark and SQL
- Experience developing batch and streaming data pipelines
- Strong understanding of data modeling and modern data architecture principles
- Proficiency with Python
- Experience with Git-based development and CI/CD environments
- Experience with Databricks Unity Catalog, including catalogs, schemas, and permissions
- Experience integrating databases, APIs, files, and streaming platforms
- Experience with Databricks Delta Live Tables
- Experience with Databricks Workflows
- Experience with Kafka, Kinesis, or similar streaming technologies
- Experience in federal, regulated, or security-sensitive environments
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline
What We Do
Vital Tech Solutions is a Frankenmuth, Michigan-based technology consulting and workforce-solutions firm serving Fortune 2000 organizations. It provides end-to-end technical consulting and business and technology solutions, including engineering and technology consulting, project-management services, and workforce management. Its staffing offerings include contingent workforce and staff augmentation, helping clients source and manage talent across industries such as banking, healthcare, consumer products, insurance, automotive, and government.
