Sr. Data Engineer II (6033)

As Sr. Data Engineer II , you’ll work with a cross-functional team to help design and ingest data from different Object Management Systems that support mission operations for our classified customer

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:

• Minimum 7 years experience


• Bachelor's Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience


• Active TS/SCI + CI Poly


• 5+ years of experience in Data/ML engineering


• Strong Experience with ETL, data labeling, and data preparation


• 5+ years experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka


• Strong experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+


• Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production.


• Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders

SALARY RANGE: $152,000 - $224,000

The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including:

• The candidate's professional background and relevant work experience


• The specific responsibilities of the role and organizational needs


• Internal equity and alignment with current team compensation


• This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:




• Performance-based bonuses


• Company-paid training and/or certifications


• Referral bonuses

To apply for this position, please submit your resume via the form below or through our careers page:

Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.

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.

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