Mid-Level Data Engineer, Databricks

TeamWorx Security, LLC; Columbia (MD); Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Short-term disability

Life insurance

401(k) matching

Paid time off 11 holidays and birthday

Professional development

Fitness membership

Home office stipend

Performance bonuses & profit sharing

Employee referral bonuses

Job summary

TeamWorx Security, LLC is seeking a Data Engineer to build and maintain data pipelines and data products for a federal government client. This fully remote role in the United States involves Databricks, Python, PySpark, and SQL to deliver reliable datasets for analytics and automation.

You will work with senior engineers and stakeholders to clarify requirements, ensure data quality, and own delivery from source to downstream datasets.

Qualifications

• Bachelor's degree in CS, data science, information systems, engineering, or equivalent experience.
• 5 years of data engineering or related experience.
• Hands-on Databricks experience with notebooks, PySpark or Spark SQL, and Delta tables.
• Proficiency in Python and SQL.
• Understanding of ETL/ELT, data modeling, and data quality practices.

Responsibilities

• Build, test, and support data pipelines in Databricks with Python, PySpark, and SQL.
• Validate data against sources, fix quality issues before reporting, and document pipelines, table definitions, and business rules.
• Take ownership of work through delivery and production support, raising risks early.
• Work with stakeholders and senior engineers to clarify requirements and pick up new tools as project needs change.

Skills

Python

SQL

Databricks

PySpark

Spark SQL

Delta tables

ETL/ELT

Data modeling

Data quality

Education

Bachelor's degree or equivalent experience

Tools

Unity Catalog

Databricks Jobs/Workflows

CI/CD

Google Cloud Platform

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.

The Opportunity

TeamWorx Security is seeking a Data Engineer to build and maintain data pipelines and data products for a federal government client. The Data Engineer will work alongside senior engineers, data scientists, and government stakeholders to bring data in from source systems, clean and validate it, and deliver reliable datasets for analytics, reporting, and automation. The work spans multiple business lines, so priorities shift as different teams need help.

This role suits an engineer with solid fundamentals and hands‑on Databricks experience who wants to grow quickly by working across new business areas and technologies.

What You'll Be Doing

• Build, test, and support data pipelines in Databricks using Python, PySpark, and SQL, moving 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 so other engineers and analysts can use and maintain them.
• Take ownership of assigned work through delivery and production support, raising risks and blockers early and keeping the team informed of progress.
• Work with stakeholders and senior engineers to clarify requirements and pick up new tools as project needs change.

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.
• 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.

Nice to Have

• Experience ingesting data through APIs.
• Experience with Unity Catalog, Databricks Jobs or Workflows, and CI/CD deployment.
• Experience with Google Cloud Platform.
• Experience supporting a federal client.

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.

A Little About Us And Our Team

We love to be inspired. We started TeamWorx Security to build, create, and dream about what inspires us, and because of this, our Maryland startup is quickly growing. We are a team of data scientists, software engineers, researchers, product developers, and operation-minded folks who specialize in developing applications and products that our customers love. Our mission is to reinvent the way technical and non-technical people work with technology. We believe in creating harmonious, automated solutions designed to improve our customers' daily workflow, allowing them to act quickly and decisively about what matters most. We are looking for critical thinkers who excel at solving problems and have a passion for what they do to help us move our mission forward. This is our story; come tell us your story.

At TeamWorx Security, Inc., we hold our values as guiding principles in all that we do and encourage our community to embrace and embody them. Our core values are putting our employees first, being curious, being authentic, being scrappy, and honoring those we serve. These values drive our company culture, decision-making, and operations.

Commitment to Our Talent Community

All qualified applicants will receive consideration for employment without regard to disability, veteran or military status, or any other basis prohibited by law.