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Mid-Level Data Engineer, Databricks
TeamWorx Security. Build, test, and support data pipelines in Databricks using Python, PySpark, and SQL .
Posted 10/16/2026full-timeRemote • Maryland • United StatesMid-LevelSenior💰 $100,000 - $140,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and supporting data pipelines using Databricks, Python, and SQL, with a strong focus on data quality and validation. Capable of collaborating with stakeholders to clarify requirements and deliver reliable datasets for analytics and reporting.
Highest-signal resume keywords
Data Pipeline DevelopmentDatabricks NotebooksPython ProgrammingSQL ProficiencyETL/ELT Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData AnalysisPySparkSpark SQLDelta TablesData ModelingData QualityAPIs IngestionCI/CD DeploymentGoogle Cloud Platform
Soft Skills
OwnershipCommunicationProblem-SolvingCollaborationRisk Management
Tools & Technologies
DatabricksUnity CatalogDatabricks JobsDatabricks Workflows
Certifications & Qualifications
Bachelor's Degree in Computer ScienceFederal Suitability Eligibility
Industry Keywords
Federal Government ClientData Quality Practices
Tech Stack
Tools & technologiesCloudETLGoogle Cloud PlatformPySparkPythonSparkSQLUnity
About the role
Key responsibilities & impact- Build, test, and support data pipelines in Databricks using Python, PySpark, and SQL
- Move data from source systems into layered, reusable tables
- Validate data against its sources, track down discrepancies, and fix quality issues before they reach reporting
- Document pipelines, table definitions, and business rules
- Take ownership of assigned work through delivery and production support
- Raise risks and blockers early and keep the team informed of progress
- Work with stakeholders and senior engineers to clarify requirements
- Pick up new tools as project needs change
- Deliver reliable datasets for analytics, reporting, and automation for a federal government client
Requirements
What you’ll need- Bachelor's degree in computer science, data science, information systems, engineering, or a related field, or equivalent professional experience
- 5 years of data engineering, data analysis, or related technical experience
- Hands-on experience building pipelines in Databricks, including notebooks, PySpark or Spark SQL, and Delta tables
- Proficiency in Python and SQL
- Understanding of ETL/ELT, data modeling, and data quality practices
- U.S. citizenship is required
- Must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access
- Experience ingesting data through APIs (nice to have)
- Experience with Unity Catalog, Databricks Jobs or Workflows, and CI/CD deployment (nice to have)
- Experience with Google Cloud Platform (nice to have)
- Experience supporting a federal client (nice to have)
Benefits
Comp & perks- Comprehensive Health, Dental, & Vision Insurance
- Short-Term Disability & Life Insurance
- Matching 401(k) Contributions
- Paid Time Off including 11 Holidays and your Birthday
- Professional Development
- Fitness Membership
- Home Office allocations
- Performance Bonuses & Profit Sharing
- Employee Referral Bonuses