Data Engineer (5640)

As Data Engineer, you'll clean, optimize, and manage data from a wide variety of network data sources. The ideal candidate will have experience with ETL processes, Python programming, Elasticsearch, and data visualization tools. This role involves designing and maintaining data pipelines, ensuring data quality, and creating optimized datasets for analysis and visualization. Familiarity with Army networking is a significant advantage.

We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed withour 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:

• Build and maintain ETL workflows to extract and transform data from various network data sources.
• Clean and optimize large datasets to ensure they are ready for analysis and visualization.
• Manage and query Elasticsearch indexes to support data retrieval and reporting needs.
• Collaborate with data analysts and stakeholders to design and deliver interactive dashboards.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
• Develop Python scripts and automation tools to streamline data processing tasks.
• Document workflows, pipelines, and data models to support operational continuity and scalability.
• Research and recommend tools or techniques to improve data engineering practices and outcomes.

What you'll need to succeed:

• An active DoD Secret clearance
• Bachelor's degree in Data Engineering, Computer Science, Information Systems, or a related field.
• 3-5 years of experience in data engineering or a related field, with a focus on managing and optimizing data pipelines.
• Proficiency in Python for data processing and automation.
• Strong knowledge of ETL processes and tools for data integration and transformation.
• Experience with Elasticsearch for indexing, querying, and analyzing data.
• Familiarity with data visualization tools such as Tableau, Power BI, or Kibana.
• Knowledge of data modeling, schema design, and performance optimization techniques.
• Strong problem-solving skills with a focus on data quality and efficiency.
• Excellent communication skills and the ability to work collaboratively in cross-functional teams.

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 .