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60 Metrostar Data Software Engineer Jobs Hiring Near You

MetroStar

$147K - $156K/yr

As Sr. AI/ML Engineer I , you'll MetroStar is seeking an AI / ML Engineer to support a high ... Partner with Data Engineers, DevSecOps, Full Stack Engineers, and Financial SMEs to deliver ...

MetroStar

Sr. Database Engineer I (6547)

Washington, DC · On-site

$119.60K - $162.50K/yr

MetroStar is a company dedicated to building exceptional teams and delivering top-notch technology ... robust data integrity and security controls. Responsibilities : • Design, deploy, and maintain ...

MetroStar

Sr. Linux Engineer I (6394)

Reston, VA · On-site

$180K - $200K/yr

... and efficient software development and deployment pipelines. You will collaborate with cross ... At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best ...

MetroStar

Sr. Database Engineer I (6547)

Beltsville, MD · On-site

$107.40K - $145.90K/yr

Job Summary : MetroStar is dedicated to building exceptional teams and delivering outstanding ... data migrations and ensure robust backup and recovery processes. Responsibilities : • Design ...

MetroStar

Sr. Data Architect III (6550)

Washington, DC · Hybrid

$174K - $202K/yr

At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best ... data engineering, including experience in secure environments. * Strong experience in data ...

MetroStar

Sr. iOS Engineer I (6523)

Washington, DC · On-site

$158K/yr

MetroStar is a company focused on delivering mission-critical mobile capabilities across the ... and data protection mechanisms. • Experience integrating mobile applications with enterprise ...

MetroStar

Sr. Cybersecurity Engineer II (6545)

Washington, DC · On-site

$129.20K - $177.20K/yr

MetroStar is a company dedicated to delivering exceptional technology services by focusing on its ... and data layers • Architect security boundaries, isolation mechanisms, and blast radius ...

MetroStar

Sr. Android Engineer I (6523)

Washington, DC · On-site

$170K - $216K/yr

At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best ... and data protection mechanisms. * Experience integrating mobile applications with enterprise ...

MetroStar

Sr. iOS Engineer I (6523)

Washington, DC

$170K - $216K/yr

At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best ... and data protection mechanisms. * Experience integrating mobile applications with enterprise ...

MetroStar

Sr. iOS Engineer I (6523)

Washington, DC · On-site

$170K - $216K/yr

At MetroStar, we are obsessed withour people and have led a two-decade legacy of building the best ... and data protection mechanisms. * Experience integrating mobile applications with enterprise ...

MetroStar

Sr. DevSecOps Engineer II (6546)

Washington, DC · On-site

$170K - $193K/yr

At MetroStar, we are obsessed withour people and have led a two-decade legacy of building the best ... Active TS/SCI security clearance. * 8+ years of experience in DevSecOps, Software Engineering, or ...

MetroStar

Sr. DevSecOps Engineer I (6394)

Reston, VA · On-site

$180K - $200K/yr

... and efficient software development and deployment pipelines. You will collaborate with cross ... At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best ...

MetroStar

$133K - $142K/yr

At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best ... Partner closely with Data Engineers, AI/ML Engineers, Cybersecurity specialists, and Financial SMEs ...

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MetroStar Jobs Information

What are the key skills and qualifications needed to thrive as a Data Software Engineer, and why are they important?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What other companies are hiring for Data Software Engineer jobs?
What are the most popular jobs at Metrostar?
What are the most popular categories at Metrostar?
Infographic showing various Data Software Engineer job openings at Metrostar in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 99% Physical, and 1% Remote job distribution.

Sr. AI/ML Engineer I (6438)

MetroStar

On-site

$147K - $156K/yr

Other

Posted 29 days ago

Job description

As Sr. AI/ML Engineer I, you'll MetroStar is seeking an AI / ML Engineer to support a high-visibility, enterprise AI-enabled financial compliance initiative for the Department of War.  This mission-critical program modernizes financial system compliance and audit workflows across more than 180 systems. You will design, develop, and deploy AI models that power automated compliance translation, anomaly detection, semantic search, and executive-level decision support.
**This is a remote role with preference for candidates local to the DMV area who can attend in-person meetings as required.

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:

  • Design and implement machine learning models supporting financial compliance validation and data standardization
  • Develop AI-assisted translation engines that map legacy financial artifacts to enterprise standards
  • Build semantic retrieval and embedding pipelines to support explainable compliance workflows
  • Integrate large language models into secure, production-grade environments
  • Develop model evaluation frameworks and continuously improve performance, trust, and explainability
  • Partner with Data Engineers, DevSecOps, Full Stack Engineers, and Financial SMEs to deliver scalable AI-enabled capabilities

What you'll need to succeed:

  • Active Secret clearance required
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field
  • Minimum 5 years of AI/ML engineering experience
  • Experience supporting DoD or regulated federal environments preferred    
  • Experience designing and deploying machine learning models in regulated environments
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar
  • Experience building and optimizing Retrieval-Augmented Generation (RAG) workflows
  • Familiarity with embedding models, vector databases, and semantic search architectures
  • Experience with prompt engineering, structured output parsing, and model evaluation frameworks
  • Understanding of model governance, bias mitigation, and explainability in compliance-driven contexts
  • Experience integrating AI models into secure, containerized production environments

SALARY: $147,000 - 156,000

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

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