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Data Software Engineer Jobs in Washington (NOW HIRING)

Mission (Data) Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

We are looking for a skilled Data/Software Engineer with a focus on full-stack engineering, data, and DevOps to deliver automated end-to-end solutions within a cloud-native environment. Your role ...

Software/Data Engineer

Laurel, MD ยท On-site

$176K - $282K/yr

As a Software Data Engineer on our team, you will support one of the largest enterprise-wide engineering contracts within the Intelligence Community. This is a full-time position requiring 1880 hours ...

As a Software Data Engineer on our team, you will support one of the largest enterprise-wide engineering contracts within the Intelligence Community. This is a full-time position requiring 1880 hours ...

As a Software Data Engineer on our team, you will support one of the largest enterprise-wide engineering contracts within the Intelligence Community. This is a full-time position requiring 1880 hours ...

Software Data Engineer

Laurel, MD ยท On-site

$112K - $179K/yr

As a Software Data Engineer on our team, you will support one of the largest enterprise-wide engineering contracts within the Intelligence Community. This is a full-time position requiring 1880 hours ...

As a Software Data Engineer on our team, you will support one of the largest enterprise-wide engineering contracts within the Intelligence Community. This is a full-time position requiring 1880 hours ...

As a Software Data Engineer on our team, you will support one of the largest enterprise-wide engineering contracts within the Intelligence Community. This is a full-time position requiring 1880 hours ...

Data Science Software Engineer

Laurel, MD ยท On-site

$114K - $137K/yr

GRVTY is seeking a Data Science Software Engineer with a TS/SCI + Poly clearance to join one of their top projects. The role involves developing and enhancing compliance and business processing ...

Data Engineer

Rockville, MD ยท On-site

$116K - $140K/yr

Software Guidance & Assistance, Inc., (SGA), is searching for a Data Engineer for a CONTRACT assignment with one of our premier Regulatory clients in Rockville, MD or Tysons, VA. The Data Engineer ...

Sr. Data Engineer

Washington, DC ยท On-site

$129K - $156K/yr

NAVA Software solutions is looking for a Sr. Data Engineer. Details: Sr. Data Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok Duration: 6-12 months Position Summary ...

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Showing results 1-20

Data Software Engineer information

See Washington salary details

$50.4K

$146.9K

$201K

How much do data software engineer jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data software engineer in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior software engineers, data engineers, and machine learning engineers with extensive experience, specialized skills, and often working in high-demand industries or companies can earn $300,000 or more annually. Achieving this level typically requires advanced technical expertise, certifications, and sometimes leadership responsibilities or stock options.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand areas like technology, finance, or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level often requires extensive experience, advanced skills, and sometimes stock options or bonuses in addition to base salary.

What does a software data engineer do?

A software data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. Strong programming skills and knowledge of database systems are essential for this role.

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 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 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 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.
What are popular job titles related to Data Software Engineer jobs in Washington? For Data Software Engineer jobs in Washington, the most frequently searched job titles are:
What are popular job titles related to Data Software Engineer jobs in WA? For Data Software Engineer jobs in WA, the most frequently searched job titles are:
Infographic showing various Data Software Engineer job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.
Data Engineer with Security Clearance

Data Engineer with Security Clearance

NewGen Technologies

Herndon, VA โ€ข On-site

$117K - $141K/yr

Other

Posted 14 days ago


Job description

Data Engineer Herndon, VA Seeking a motivated, career and customer-oriented Data Engineer to join our Partner's team in Herndon VA. The Data Engineer will leverage their expertise with Python to support the customerโ€™s data pipelines and related applications, from collection to ingestion, and ensure the integrity and security of data systems. You will play a critical role in delivering relevant and actionable cyber data to the right customers in a format that is normalized and actionable by cyber analysts and data scientists.

Responsibilities Design, build, optimize, and maintain resilient data pipelines using Python, with a focus on data collection, ingestion, ETL, and analytics Develop and support complex data solutions, including data transformation, validation, and quality controls Integrate data from a variety of internal and external sources, including REST APIs, flat files, and structured/semi-structured formats Ensure data is available, accessible, reliable, and securely handled to meet stakeholder and operational needs Test, troubleshoot, and validate data movement, parsing, and transformation code across development and production environments Provide platform and production support, including debugging, root cause analysis, issue resolution, and ongoing maintenance Collaborate with cross-functional teams to deliver data products and help end users understand and effectively use analytics environments Requirements TS/SCI FSP Clearance High School Diploma and 5+ yearsโ€™ experience with software development in Python Experience with data engineering Experience building and maintaining data pipelines, ETL processes, and ingestion workflows Experience with Git/GitHub or similar version control systems Experience with common data formats such as JSON, XML, CSV, and other structured or semi-structured data Experience working with Bash, Linux, and command-line tools in a development or production environment About Us For more than 20 years, NewGen Technologies has solved our clientsโ€™ toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics.ย Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ Apply Now More Openings Enterprise Data Engineer Chantilly, VA Data Engineer Herndon, VA Data Automation Engineer Arlington, VA Data & Software Engineer Chantilly, VA * Platform Architect/Consultant Tampa/Orlando, FL Share This Job