Data Engineer (5783)

MetroStar Systems, LLC

vision insurance, parental leave, paid time off, 401(k), retirement plan

United States, D.C., Washington

2201 C Street Northwest (Show on map)

Apr 14, 2025

As a Data Engineer, you'll work with AI team members to operationalize data pipelines and ML tasks and provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities

We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you'll do:

Work with AI team members to operationalize data pipelines and ML tasks.
Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities.
Present results to a diverse audience in presentation or report form.
Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements.
Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas.

What you'll need to succeed:

The ability to obtain and maintain DHS Suitability.
A bachelor's degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience
5+ years of experience in Data/ML engineering (if school experience is used, at most that would contribute to 2 years of actual experience).
Experience with ETL, Data Labeling and Data Prep.
Experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production.
The ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize

Open Until Filled

If a projected salary range is posted for this position, it represents the typical salary range for this position and is just one component of MetroStar's total compensation.

Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance.

Benefits: All full-time employees are eligible to participate in our benefits programs:

Health, dental, and vision insurance
401(k) retirement plan with company match
Paid time off (PTO) and holidays
Parental Leave and dependent care
Flexible work arrangements
Professional development opportunities
Employee assistance and wellness programs

Like we said, we are big fans of our people. That's why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Not ready to apply now?