ZipRecruiter

Log In

1

Data Systems Engineer Jobs (NOW HIRING)

Quantix

Data Engineer

Golden, CO

$60/hr

We are seeking a Data Systems Engineer to support the development, maintenance, and integration of data systems and instructional applications that enable assessment, research, reporting, and ...

Precise Systems

Systems Engineer

Crane, IN

Support test planning, test execution, data review, and test reporting for CDU system performance ... Assess Engineering Change Proposals, deviations, waivers, and technical changes for impact to CDU ...

Precise Systems

Systems Engineer

Crane, IN · On-site

Support test planning, test execution, data review, and test reporting for CDU system performance ... Assess Engineering Change Proposals, deviations, waivers, and technical changes for impact to CDU ...

Shop Your Way

Shop Your Way - Cloud Data/Systems Engineer

OR · Remote

$117.20K - $140.70K/yr

Cloud Data/Systems Engineer The Cloud Data/Systems Engineer will be responsible for architecting transformation and modernization of enterprise data solutions on GCP cloud integrating native GCP ...

next page

Showing results 1-20

People also search for

All JobsData Systems Engineer Jobs

Data Systems Engineer information

See salary details

$53.5K

$127.2K

$167K

How much do data systems engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Systems Engineer, and why are they important?

To excel as a Data Systems Engineer, you need strong skills in data architecture, database management, and programming, often backed by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Hadoop, and cloud platforms, as well as certifications such as AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Exceptional problem-solving, collaboration, and analytical thinking help you design robust, scalable data solutions and communicate effectively with stakeholders. These skills and qualities are crucial for ensuring data integrity, optimizing system performance, and supporting organizational decision-making.

What are some common challenges Data Systems Engineers face when integrating new data sources?

Data Systems Engineers often encounter challenges such as ensuring data compatibility across diverse formats, maintaining data integrity during migration, and managing system performance while integrating new sources. Collaborating closely with data analysts, software developers, and database administrators is key to anticipating and addressing these issues. Successful integration frequently requires thorough testing, robust error handling, and establishing clear data governance protocols to prevent inconsistencies or data loss.

What are Data Systems Engineers?

Data Systems Engineers are professionals who design, build, and maintain the infrastructure and systems that manage and process large volumes of data within an organization. They ensure data flows efficiently between databases, applications, and users, often working with technologies such as databases, data warehouses, and cloud platforms. Their responsibilities include optimizing data pipelines, ensuring data security, and supporting analytics and business intelligence initiatives. Data Systems Engineers collaborate closely with data scientists, software engineers, and IT teams to create reliable, scalable, and secure data environments.

What is the difference between Data Systems Engineer vs Data Engineer?

AspectData Systems EngineerData Engineer
CredentialsBachelor's in CS, certifications like AWS, AzureBachelor's in CS, certifications like AWS, Azure
Work EnvironmentDesigning and maintaining data infrastructure, systems integrationBuilding data pipelines, ETL processes, data storage solutions
Industry UsageIT, tech companies, large enterprisesTech, finance, healthcare, any data-driven industry

Both roles require similar technical skills and certifications, often working in data infrastructure environments. Data Systems Engineers focus on designing and maintaining data systems, while Data Engineers primarily build and optimize data pipelines. The roles are complementary and often overlap in organizations managing complex data architectures.

More about Data Systems Engineer jobs
Who are the top companies hiring for Data Systems Engineer jobs? The top employers for Data Systems Engineer jobs are:
What states have the most Data Systems Engineer jobs? States with the most job openings for Data Systems Engineer jobs include:
What job categories do people searching Data Systems Engineer jobs look for? The top searched job categories for Data Systems Engineer jobs are:
Data Systems Engineer jobs near you
Infographic showing various Data Systems Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.
Data Engineer

Data Engineer

Quantix

Golden, CO

$60/hr

Other

Posted 25 days ago

Job description

Data Engineer

Location: Golden, CO (3 days per week onsite)

Type: Contract to hire

Length: 6 months to conversion

Rate: Up to $60/hr (up to $110K conversion)

Role Summary:

We are seeking a Data Systems Engineer to support the development, maintenance, and integration of data systems and instructional applications that enable assessment, research, reporting, and analytics. This role works across data platforms, instructional applications, and reporting environments, partnering closely with IT, Assessment & Research, and other stakeholders. The engineer will support data warehouse environments, develop SQL-based solutions, and help design and maintain data ingestion pipelines and integrations across connected systems.

Required Experience & Skills:

  • 3–5 years of experience in data engineering
  • Strong SQL / T‐SQL skills with experience supporting reporting and analytics workloads.
  • Experience with relational databases and data modeling concepts.
  • Experience developing and maintaining data integrations across multiple systems.
  • Experience supporting production systems with reliability, performance, and uptime expectations.
  • Ability to communicate technical concepts effectively with both technical and non‐technical stakeholders.

Preferred Qualifications:

  • Experience with data warehousing, analytics platforms, or cross-system integrations.
  • Experience supporting or implementing cloud-based data platforms (AWS and/or Azure; Microsoft Fabric a plus).
  • Experience with Snowflake or similar data warehouse technologies.
  • Familiarity with ETL/ELT tools such as Matillion, SSIS, or Fivetran.
  • Application development experience using Python, C#,.NET, JavaScript, HTML, or CSS.
  • Experience with version control and source code management tools (e.g., Azure DevOps, GitHub).
  • Prior experience in K‐12, public sector, or large enterprise environments.

Apply