Sr. Data Engineer II
- Role
- Data Engineering
- Experience
- Senior
- Employment
- Full-time
Open to US only. Set where you work from to check your eligibility.
No BS summary
Senior Data/ML Engineer with 7+ years of experience and a Bachelor's degree. Must have an active Secret clearance. Requires strong experience in ETL, data labeling, data preparation, and deploying ML pipelines in classified AWS environments (IL6+). Needs experience with Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, or Kafka, and strong communication skills.
Core skills
Required skills
Optional skills
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. 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? Sign up to join our newsletter here .
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 they require
- 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 communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders
Benefits
- 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
MetroStar has led a two-decade legacy of building technology services teams with a mission focused on people and customer value.