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Mid-Level Data Engineer, Databricks

Role overview

Qualifications

  • 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.

Responsibilities

  • 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.

Key facts

Hard skills

Other skills

  • Communication
  • Teamwork
  • Problem Solving

About the company

TeamWorx Security logo

TeamWorx Security

Cybersecurity

TeamWorx Security is a software company building a better way to managing cyber incident response in defense, cyber, critical infrastructure, and emergency management. We are a minority- and service-disabled, veteran-owned small business (SDVOSB) headquartered in Columbia, Maryland, with roots in national research and a proven track record across the defense and intelligence communities. Connect with the CEO: @ChrisAnthonyTeamworx Follow us on Twitter: @TeamWorxSec Follow our hashtag: #speedofneed

Company details

IndustryCybersecurity
Company size11 - 50

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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.


Compensation: $100,000 - $140,000

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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