Senior Data Engineer

TeamWorx Security LLC

$120K — $145K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, data science, info systems, engineering, or similar, or equivalent experience.
  • 12+ years of relevant data engineering software or technical delivery experience.
  • Master's degree and 10 years of experience considered.
  • Proven hands-on experience in delivering production solutions in an enterprise Databricks environment.
  • Familiarity with a range of data engineering technologies including GCP, BigQuery, Python, and SQL.
  • Understanding of data modeling, ETL/ELT processes, and data governance.
  • Strong problem-solving, communication, teamwork and documentation skills.

Responsibilities

  • Design, build, and maintain production data pipelines using Databricks and Google Cloud Platform.
  • Develop data models and architectures that convert multiple data sources into reliable data products.
  • Extract, transform, and analyze data to support reporting and operational decision-making.
  • Ensure data quality, security, and compliance throughout the data lifecycle.
  • Collaborate with technical teams and government stakeholders to define requirements and resolve issues.
  • Evaluate and implement new technologies based on customer needs.

Benefits

  • Comprehensive health, dental, and vision insurance.
  • Short-Term Disability and Life Insurance.
  • Matching 401(k) Contributions.
  • Paid time off including 11 holidays and your birthday.
  • Professional development opportunities.
  • Fitness membership.
  • Home office allocations.
  • Performance bonuses and profit sharing.
  • Employee referral bonuses.
Full Job Description
Location: Fully Remote, United States
Position Type: Full-Time

Clearance: U.S. citizenship is required. The candidate must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access.

TeamWorx Security is seeking a Senior Data Engineer to design, build, and maintain enterprise data platforms and pipelines for a federal government client. The Data Engineer will work with technical teams, program leadership, and government stakeholders to integrate complex data sources, improve data quality, and deliver secure, scalable data products that support analytics, automation, artificial intelligence, and operational decision-making. This work supports enterprise data efforts that span multiple business lines, so priorities shift as different teams need help.

The work rewards engineers who can move between projects, learn a new business area quickly, and apply their skills wherever the need is greatest. The ideal candidate brings strong data engineering fundamentals, hands-on experience delivering production solutions in an enterprise Databricks environment, and familiarity with Google Cloud Platform.

Success in this role requires initiative, ownership, and clear communication. The Senior Data Engineer is expected to work through ambiguity, identify needs or risks before they become problems, and move assignments forward without waiting for detailed direction. This person must communicate progress, decisions, and obstacles clearly while remaining accountable for work through delivery and ongoing support.

What You'll Be Doing
  • 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 information from multiple source systems into reliable, reusable data products for analytics, applications, reporting, automation, and AI/ML.
  • Extract, transform, validate, and analyze data from multiple sources to support 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 while supporting testing, deployment, production operations, and continued improvement.


What We Think 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.
  • Demonstrated hands-on experience delivering production data engineering solutions in an enterprise Databricks environment, including data pipelines and orchestration, Delta Lake, Unity Catalog, CI/CD and deployment, and enterprise security and governance practices.
  • Experience across a range of data engineering technologies, which may include 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 as project needs change.


What's in it for you?

These awesome 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, and Home Office allocations, Performance Bonuses & Profit Sharing, & Employee Referral Bonuses. But wait, there's more: TeamWorx Security is committed to our teammates and their professional goals. Being a small but growing company affords us the opportunity to work WITH YOU to reach your full potential.

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