Sr. Data Engineer II (6700)

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 in Data/ML Engineering

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

Must have an active Secret clearance/T1 background investigation or higher

Strong Experience with ETL, data labeling, and data preparation

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 - $188,000

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: https://www.metrostar.com/jobs/

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

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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