ZipRecruiter

Log In

1

Data Software Engineer Jobs (NOW HIRING)

Cymertek

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 ...

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 ...

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

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 ...

Cymertek

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 ...

JPMorgan Chase & Co

Data Software Engineer II

Manhattan, NY · On-site

$126K - $151K/yr

As a Software Engineer II at JPMorganChase within the Consumer & Community Banking Open Banking team, you serve as a seasoned member of an agile team to design and deliver trusted data collection ...

NinjaOne

Senior Data Software Engineer

NC · On-site +1

$123K - $162K/yr

... software development, with a strong focus on data engineering and data science. * Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python.

NinjaOne

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

... software development, with a strong focus on data engineering and data science. * Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python.

The Josef Group

Data and Software Engineer

Mclean, VA

$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 ...

New

next page

Showing results 1-20

All JobsData Software Engineer Jobs

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 Jul 7, 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 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.
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 job categories do people searching Data Software Engineer jobs look for? The top searched job categories for Data Software Engineer jobs are:
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 jobs near you
Infographic showing various Data Software Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data & Software Engineer

Senior Data & Software Engineer

Accenture Federal Services

Mclean, VA • On-site

$116K - $139K/yr

Full-time

Re-posted 29 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 437 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve lives through technology. The Senior Data & Software Engineer will work with a team to build complex data flows for custom applications, leveraging advanced programming skills and data governance principles.
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.

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply