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Data Software Engineer Jobs in Washington (NOW HIRING)

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

We are seeking a Data & Software Engineer to join a small, agile team developing advanced data solutions for a custom application supporting mission-critical operations. This role is focused on ...

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 ...

Mission (Data) Engineer

Arlington, VA ยท Remote

$117K - $140K/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 ...

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 ...

Data Analytics Software Engineer Full Time Technical 4 days ago Requisition ID: 3370 Salary Range: $129,485.00 To $152,744.00 Annually Quevera is seeking a Data Analytics Software Engineer with an ...

New

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 ...

Software/Data Engineer

Laurel, MD ยท On-site

$114K - $137K/yr

They are seeking a Software/Data Engineer to develop, maintain, and enhance complex software systems, support enterprise-wide engineering contracts, and ensure adherence to design requirements.

Data Engineer

Washington, DC ยท On-site

$80K - $120K/yr

Required Skills and ExperienceBachelor's degree in Data Engineering, Computer Science, Software ... Engineering, or related field.AWS Data Engineer Associate, AWS Certified Data Analytics, Azure Data ...

Data Engineer

Washington, DC ยท On-site

$80K - $120K/yr

Bachelor's degree in Data Engineering, Computer Science, Software Engineering, or related field. * AWS Data Engineer Associate, AWS Certified Data Analytics, Azure Data Engineer Associate, or ...

Showing results 41-60

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 Aug 21, 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 is a data software engineer?

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?

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 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 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 August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data/Software Engineer with Security Clearance

NS2 Mission

Fairfax, VA โ€ข On-site

$117K - $140K/yr

Other

Re-posted 13 days ago


Job description

Build modern data solutions that drive mission-critical decision making. NS2 Mission is seeking a Data & Software Engineer to support the team in McLean, VA. In this role, you'll work as part of a small, highly collaborative engineering team to design, develop, and maintain scalable data pipelines and software solutions supporting mission operations. You'll leverage modern cloud technologies, big data frameworks, and AI/ML capabilities to build high-performance applications and data workflows that transform complex data into actionable intelligence. If you enjoy solving challenging engineering problems while working across data, software, and cloud technologies, we'd love to hear from you. Key Responsibilities * Design, develop, and maintain scalable end-to-end data pipelines using Python and modern data engineering frameworks. * Build and optimize ETL workflows that process structured, unstructured, and geospatial data at scale. * Deploy and manage containerized applications within AWS cloud environments. * Develop and optimize SQL and NoSQL data solutions, including database design, performance tuning, and query optimization. * Integrate AI/ML models and services into production data workflows. * Utilize orchestration tools to automate data pipelines and manage Spark jobs. * Maintain data governance, lineage, cataloging, and compliance best practices across enterprise datasets. * Collaborate with stakeholders to gather requirements, design technical solutions, and support platform modernization initiatives. * Troubleshoot pipeline failures, performance bottlenecks, and data quality issues while contributing to engineering best practices and technical documentation. Required Qualifications * 5+ years of experience building production data pipelines and scalable ETL solutions. * Advanced Python development experience, including Pandas and NumPy. * Experience developing with Apache Spark and PySpark. * Experience deploying containerized applications using Docker or Podman. * Experience working with AWS services including S3, Lambda, and Step Functions. * Strong SQL experience, including Trino, MySQL, and PostgreSQL with performance tuning and schema design. * Experience working with NoSQL technologies such as DynamoDB. * Experience with workflow orchestration tools including Apache Airflow and Apache Iceberg. * Familiarity with Infrastructure as Code using Terraform or CloudFormation. * Experience using Git and modern source control practices. * Experience with Bash scripting for automation and data processing. * Understanding of data governance, security, privacy, lineage, and compliance principles. Preferred Qualifications * Experience with Unity Catalog OSS, Apache Polaris, and OpenLineage. * Experience with Apache Superset or similar data visualization platforms. * Experience working with geospatial data technologies including H3 and PostGIS. * Experience supporting AI/ML model deployment and production data workflows. * Experience supporting large-scale data migration or platform modernization initiatives. Position Clearance Requirement: TS/SCI with an FSP Please be aware, many of our positions require the ability to obtain or maintain a U.S security clearance which requires U.S citizenship We win with inclusion NS2 Mission's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At NS2 Mission, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. NS2 Mission is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with NS2 Mission and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: . Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.