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Data Software Engineer Jobs in Washington (NOW HIRING)

Cymertek

Cloud Big Data Software Engineer

Reston, VA · On-site

$58 - $76.75/hr

Cloud Big Data Software Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a skilled Cloud Big Data ...

Cymertek

Cloud Big Data Software Engineer

Tysons, VA · On-site

$56 - $74/hr

Cloud Big Data Software Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a skilled Cloud Big Data ...

Cymertek

Cloud Big Data Software Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Cloud Big Data Software Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a skilled Cloud Big Data ...

The Josef Group

Data and Software Engineer

Mclean, VA · On-site

$200 - $250/hr

Data and Software Engineer McLean, VA $200K to $250K TS/SCI and FSP The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate ...

The Josef Group

Data and Software Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data and Software Engineer McLean, VA $200K to $250K TS/SCI and FSP The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate ...

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Showing results 21-40

All JobsData Software Engineer JobsData Software Engineer Jobs in Washington

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 job categories do people searching Data Software Engineer jobs in Washington look for?

The top searched job categories for Data Software Engineer jobs in Washington 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:

Data Software Engineer jobs near you
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.

Big Data Software Engineer

GIGATEC Engineering

Annapolis Junction, MD • On-site

$57 - $75.25/hr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
GIGATEC Engineering is seeking a Big Data Software Engineer to transform a Streamlit-built UI prototype into a polished, production-ready interface. The role involves developing and extending the interface to make it available externally, while also utilizing various technologies for software development and data processing.
Responsibilities:
• transform a Streamlit-built UI prototype into a polished, production-ready interface
• build it into an interface with future plans to make the interface available external to the corporate enterprise
Qualifications:
Required:
• Top Secret clearance
• favorable completion of a polygraph
• authorized to work in the U.S.
• Using the Linux CLI and Linux tools
• Developing Bash scripts to automate manual processes
• Recent software development experience using Python and Java
• Familiar with Streamlit, a Python framework for building interactive web applications
• Experience developing front-end applications using TypeScript, HTML, and CSS
• Experience with JavaScript frameworks such as React, Angular, and Vue
• Familiar with Distributed Big Data processing engines including Apache Spark
• Experience using Jupyter Notebook
• Experience with data wrangling and preprocessing using tools such as pandas, NumPy
• Experience working with structured, semi-structured, and unstructured data such as Parquet, JSON, CSV, XML
• Familiarity with data quality concepts, data validation, and anomaly detection
• Experience with Git Source Control System
Preferred:
• Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows
• Experience with SQL technologies such as MySQL, MariaDB, and PostgreSQL for querying, joining, and aggregating large datasets
• Familiar with HPC Job Scheduling tools including Slurm
• Experience using the Atlassian Tool Suite (JIRA, Confluence)
• Appreciates a sense of humor and the occasional well-timed joke
Company:
At GIGATEC, we specialize in engineering advancements across cybersecurity, software development, and systems integration. Founded in 2020, the company is headquartered in Columbia, USA, with a team of 2-10 employees. The company is currently Early Stage.

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