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TeamWorx Security

Senior Data Engineer

TeamWorx Security

Senior Data Engineer building secure Databricks data platforms and pipelines for TeamWorx Security’s federal government clients. Delivering governed data products supporting analytics, automation, AI/ML, and operational decisions.

Posted 8/14/2026full-timeRemote • Maryland • 🇺🇸 United StatesSenior💰 $135,000 - $165,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying production data pipelines and enterprise data solutions using Databricks and Google Cloud Platform. Proficient in data modeling, ETL/ELT processes, and ensuring data quality, security, and compliance throughout the data lifecycle.

Highest-signal resume keywords
Databricks Data EngineeringGoogle Cloud Platform (GCP)Data Pipeline DevelopmentData Quality and GovernanceETL/ELT Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLBigQueryData ModelingDelta LakeUnity CatalogCI/CDAPIsData VisualizationCloud Platforms
Soft Skills
Problem-SolvingDocumentationCommunicationTeamworkCuriosity
Tools & Technologies
DatabricksGoogle Cloud PlatformBigQueryDelta LakeUnity Catalog
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Related FieldU.S. CitizenshipFederal Suitability Eligibility
Industry Keywords
Data EngineeringData ArchitectureEnterprise Data SolutionsData GovernanceProduction Support

Tech Stack

Tools & technologies
BigQueryCloudETLGoogle Cloud PlatformJavaScriptPythonSQLUnity

About the role

Key responsibilities & impact
  • Design, build, deploy, and support production data pipelines and enterprise data solutions using Databricks, Google Cloud Platform, BigQuery, Python, SQL, and related technologies
  • Develop enterprise data models and layered data architectures that transform multiple source systems into reliable, reusable data products
  • Extract, transform, validate, and analyze data for reporting, business intelligence, AI, and operational decision-making
  • Ensure data quality, security, governance, traceability, and compliance throughout the data lifecycle
  • Work with technical teams and federal stakeholders to define requirements, evaluate options, document solutions, and resolve technical issues
  • Evaluate and apply new technologies based on customer needs
  • Support testing, deployment, production operations, and continued improvement
  • Communicate progress, decisions, and obstacles clearly and remain accountable through delivery and ongoing support

Requirements

What you’ll need
  • Bachelor’s degree in computer science, data science, information systems, engineering, or a related field, or equivalent professional experience
  • 12 or more years of relevant data engineering, software engineering, data architecture, or technical delivery experience
  • Master’s degree and 10 years of experience also considered
  • Hands-on experience delivering production data engineering solutions in an enterprise Databricks environment
  • Experience with data pipelines and orchestration, Delta Lake, Unity Catalog, CI/CD and deployment, enterprise security, and governance practices
  • Experience with data engineering technologies including GCP, BigQuery, Python, SQL, JavaScript, Google Apps Script, APIs, cloud platforms, databases, and visualization tools
  • Understanding of data modeling, ETL/ELT, data quality, governance, security, and production support
  • Strong problem-solving, documentation, communication, and teamwork skills
  • Curiosity and willingness to learn new platforms, tools, and technical approaches
  • U.S. citizenship required
  • Must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access

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