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60 Metrostar Data Software Engineer Jobs Hiring Near You

MetroStar

Associate Data Engineer (6481)

Tampa, FL · On-site

$108.20K - $129.90K/yr

MetroStar is a company focused on building exceptional teams and delivering outstanding technology services. The Associate Data Engineer will design and maintain scalable data pipelines and cloud ...

MetroStar

$128K - $138K/yr

As Sr. Data Engineer I , you'll support a high-visibility, enterprise AI-enabled financial ... At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best ...

MetroStar

Sr. Data Engineer I (5346)

Albany, GA

$110K - $138K/yr

As Sr. Data Engineer I , you'll support the Marine Depot Maintenance Command (MDMC) Digital Depot ... At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best ...

MetroStar

$133K - $147K/yr

Collaborate closely with software developers, data engineers, DevSecOps teams, and stakeholders to ... MetroStar, which may include: * Performance-based bonuses * Company-paid training and/or ...

MetroStar

Sr. DevSecOps Engineer II (6546)

Washington, DC · Hybrid

$170K - $193K/yr

At MetroStar, we are obsessed with our 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. iOS Engineer I (6523)

Washington, DC · On-site

$158K/yr

MetroStar is a company focused on delivering high-security mobile solutions for the federal ... and data protection mechanisms. • Experience integrating mobile applications with enterprise ...

MetroStar

Sr. Data Engineer II (6589)

Tysons Corner, VA

$152K - $188K/yr

As Sr. Data Engineer II , you'll work with a cross-functional team to help design and ingest data ... At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best ...

MetroStar

$138K - $156K/yr

As a Sr. Data Engineer I , you will support USCIS IT system delivery by performing integrated data ... At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best ...

MetroStar

Sr. iOS 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. Android 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 ...

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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.

Associate Data Engineer (6481)

MetroStar

Tampa, FL • On-site

$108.20K - $129.90K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
MetroStar is a company focused on building exceptional teams and delivering outstanding technology services. The Associate Data Engineer will design and maintain scalable data pipelines and cloud-based data platforms, supporting advanced analytics and machine learning workloads while collaborating with AI/ML engineers.
Responsibilities:
• Design and implement data ingestion, transformation, and enrichment pipelines across multiple concurrent projects with varying data modalities (time-series sensor data, video, images, documents, and metadata).
• Develop and manage cloud-native data services including object storage workflows, vector database integration, and structured data warehousing to support multi-modal AI/ML systems.
• Work closely with AI/ML engineers to operationalize data pipelines that feed training, inference, and retrieval-augmented generation (RAG) workloads in production.
• Establish data quality, lineage, and governance practices across projects that are maturing from prototype to product, bringing structure and repeatability to evolving data ecosystems.
• Support the processing and organization of unstructured data (video files, PDFs, technical manuals) into formats suitable for embedding generation, semantic search, and summarization.
• Present technical approaches and data architecture decisions to both technical teammates and non-technical stakeholders.
Qualifications:
Required:
• Active US Government issued Secret Clearance, or the ability to obtain one
• Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field
• 0–2 years of experience in data engineering, data management, or database development
• Familiarity with relational databases, data modeling, and ETL processes
• Understanding of data quality principles and metadata management
• Ability to write and optimize SQL queries
• Exposure to data integration and interface management concepts
Company:
MetroStar is a leading provider of secure digital transformation and Artificial Intelligence (AI)-enabled products and solutions, specializing in delivering cutting-edge IT services to government agencies and defense organizations. Founded in 1999, the company is headquartered in Reston, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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