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Data Software Engineer Jobs (NOW HIRING)

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

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

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

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 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

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 ...

The Senior Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with ...

Showing results 41-60

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 Aug 16, 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 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 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.
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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:

Infographic showing various Data Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Data & Software Engineer

Accenture Federal Services

Mclean, VA • On-site

$116K - $139K/yr

Full-time

Re-posted 9 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve citizens' lives. The Senior Data & Software Engineer will work with a team to develop complex data flows for custom applications, leveraging advanced programming skills and a strong understanding of data governance and pipeline construction.
Responsibilities:
• Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight.
• Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks.
• Leverage a background in large-scale data migration or platform modernization efforts.
• Contribute to data engineering documentation, best practices, and design patterns.
Qualifications:
Required:
• Minimum of 5 years' experience with Apache Spark & PySpark
• Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs
• Advanced Python skills (including Pandas & NumPy)
• Building end-to-end data pipelines leveraging Python
• Docker, Podman
• AWS S3, Lambda & Step functions
• Apache Iceberg, Airflow, etc.
• SQL (with Trino)
• NoSQL, DynamoDB
• Containerizing and deploying applications in cloud environments like AWS
• Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads
• Leveraging industry standard tools for code control (Git, IaaC control, etc.)
• Working with data catalogs, tracking data lineage, and handling a variety of data formats, including Geospatial
• Using Bash scripting for automation and data processing tasks
• Integrating Al/ML services and models
• Active TS/SCI with Poly security clearance is required
Preferred:
• Unity Catalog OSS, Apache Polaris
• Apache Superset
• Terraform or CloudFormation
• OpenLineage
• H3, PostGIS
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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