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Data Software Engineer Jobs (NOW HIRING)

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 ...

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 ...

Cloud Big Data Software Engineer

Honolulu, HI · On-site

$55 - $73/hr

Cloud Big Data Software Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a skilled Cloud Big Data ...

Cloud Big Data Software Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

Cloud Big Data Software Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a skilled Cloud Big Data ...

Cloud Big Data Software Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

Cloud Big Data Software Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a skilled Cloud Big ...

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 ...

Cloud Big Data Software Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

Cloud Big Data Software Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a skilled Cloud Big Data ...

Cloud Big Data Software Engineer

Reston, VA · On-site

$58 - $76.75/hr

Cloud Big Data Software Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a skilled Cloud Big Data ...

Cloud Big Data Software Engineer

Honolulu, HI · On-site

$55 - $73/hr

Cloud Big Data Software Engineer LOCATIONHonolulu, HI 96815 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a skilled Cloud Big Data ...

Cloud Big Data Software Engineer

Tysons, VA · On-site

$56 - $74/hr

Cloud Big Data Software Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a skilled Cloud Big Data ...

Cloud Big Data Software Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

Cloud Big Data Software Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a skilled Cloud Big Data ...

Cloud Big Data Software Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Cloud Big Data Software Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a skilled Cloud Big Data ...

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Data Software Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data software engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data software engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

More about Data Software Engineer jobs
What cities are hiring for Data Software Engineer jobs? Cities with the most Data Software Engineer job openings:
What are the most commonly searched types of Data Software Engineer jobs? The most popular types of Data Software Engineer jobs are:
Who are the top companies hiring for Data Software Engineer jobs? The top employers for Data Software Engineer jobs are:
What states have the most Data Software Engineer jobs? States with the most job openings for Data Software Engineer jobs include:
What are popular job titles related to Data Software Engineer jobs? For Data Software Engineer jobs, the most frequently searched job titles are:

Data & Software Engineer with Security Clearance

Quantum Science Solutions

Mclean, VA

$117K - $141K/yr

Other

Posted 29 days ago


Job description

Opportunity via QSSHire | Talent-as-a-Service Recruiting
Role: Data & Software Engineer
Location: McLean, VA (Onsite)
Clearance: TS/SCI with Full Scope Polygraph
Rate: Open
________________________________________
Are You a Data & Software Engineer Ready to Build Scalable Data Pipelines and Modern Data Platforms?
QSSHire is seeking a Data & Software Engineer to support a Project, focused on building complex data flows and scalable data solutions for a custom application.
This role requires a highly skilled engineer with strong Python expertise, experience building production-grade ETL pipelines, and deep knowledge of data governance, security, and compliance principles. The ideal candidate will bring experience working with modern data platforms, cloud-native technologies, and large-scale data processing frameworks.
________________________________________
In This Role, You’ll:
• Design, build, and maintain end-to-end data pipelines using Python
• Develop and deploy data workflows using orchestration tools (e.g., Airflow, Spark job orchestration)
• Containerize and deploy applications in AWS cloud environments
• Configure and optimize Spark and PySpark jobs for large-scale data processing
• Work with stakeholders to understand requirements and design scalable data solutions with minimal oversight
• Troubleshoot data quality issues, pipeline failures, and performance bottlenecks
• Support large-scale data migration and platform modernization efforts
• Optimize relational databases (MySQL, PostgreSQL) for analytical workloads, including schema design and query tuning
• Implement and maintain data lineage, cataloging, and governance solutions
• Work with geospatial data formats and tools
• Integrate AI/ML models and services into data pipelines
• Develop automation scripts using Bash for data processing and system tasks
• Contribute to data engineering documentation, standards, and best practices
________________________________________
You’ll Succeed Here If You Have:
• 5+ years of experience in data engineering or software engineering roles
• Strong experience with Apache Spark & PySpark
• Advanced proficiency in Python (Pandas, NumPy)
• Experience building scalable ETL/data pipelines in production environments
• Hands-on experience with AWS services (S3, Lambda, Step Functions)
• Experience with containerization tools (Docker, Podman)
• Strong SQL skills, including experience with Trino
• Experience with NoSQL databases (DynamoDB)
• Familiarity with data lake technologies (Apache Iceberg)
• Experience with data orchestration tools (Airflow or similar)
• Experience using Terraform or CloudFormation for infrastructure as code
• Experience with data lineage and governance tools (OpenLineage, Unity Catalog OSS, Apache Polaris)
• Experience with Apache Superset for data visualization
• Experience with geospatial technologies (H3, PostGIS)
• Strong understanding of version control and DevOps practices (Git, IaC workflows)
• Experience working with data catalogs and diverse data formats
________________________________________
Bonus Points If You Have:
• Experience integrating AI/ML models into data workflows
• Experience supporting data platform modernization initiatives
• Strong background in data governance, privacy, and compliance frameworks
• Experience working in agile, fast-paced environments
________________________________________
Why QSSHire?
As a modern Talent-as-a-Service recruiting partner, QSSHire connects top talent with impactful opportunities. We focus on aligning your expertise with meaningful work, offering transparency, flexibility, and career growth.