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Data Systems Engineer Jobs (NOW HIRING)

PVI Holdings

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

Position Summary We are seeking a Data Systems Engineer to join our growing organization. This role will support the Director of Data Systems in designing and delivering scalable data solutions that ...

Central Health

Data Systems Engineer

Austin, TX

$115K - $138K/yr

JOB SUMMARY The Central Health System's Data Engineer is responsible for designing, developing, and maintaining scalable data systems that support enterprise reporting, analytics, data science, AI ...

Central Health

Data Systems Engineer

Austin, TX

$115K - $138K/yr

Overview JOB SUMMARY The Central Health System's Data Engineer is responsible for designing, developing, and maintaining scalable data systems that support enterprise reporting, analytics, data ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

Overview JOB SUMMARY The Central Health System's Data Engineer is responsible for designing, developing, and maintaining scalable data systems that support enterprise reporting, analytics, data ...

Central Health

Data Systems Engineer

Austin, TX

$115K - $138K/yr

Overview JOB SUMMARY The Central Health System's Data Engineer is responsible for designing, developing, and maintaining scalable data systems that support enterprise reporting, analytics, data ...

KBR

Big Data Systems Engineer

Niceville, FL · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR

Big Data Systems Engineer

Denver, CO · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR

Big Data Systems Engineer

Los Angeles, CA · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR

Big Data Systems Engineer

Tampa, FL · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR, Inc.

Big Data Systems Engineer

Niceville, FL · On-site

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR

Big Data Systems Engineer

Washington, DC · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR

Big Data Systems Engineer

Huntsville, AL · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

Inficare Technologies

Senior Data/ Systems Engineer

$107K - $146K/yr

Senior Data/ Systems Engineer Location: Remote Role Duration: Long Term contract Job requirements : Client is seeking a Senior Data or Systems Engineer to support a large government contractor on a ...

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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 24, 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 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 does a data systems engineer do?

A data systems engineer designs, develops, and maintains the infrastructure for storing, processing, and analyzing large data sets. They work with database systems, data pipelines, and cloud platforms, often using tools like SQL, Python, and Hadoop to ensure data availability, security, and performance. Strong problem-solving skills and knowledge of data architecture are essential for this role.

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 engineers make $500,000?

Senior data systems engineers with extensive experience, advanced skills in database management, cloud platforms, and programming can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of project success.

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.

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 expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What engineers make $300,000 a year?

Senior data systems engineers, especially those with extensive experience, advanced certifications, and expertise in cloud platforms, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized skills, and leadership responsibilities.
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 June 2026, with employment types broken down into 1% Internship, 3% As Needed, 77% Full Time, 1% Part Time, 17% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Data Systems Engineer

PVI Holdings

Baton Rouge, LA • On-site

$109K - $132K/yr

Full-time

Posted 21 days ago

Job description

Position Summary
We are seeking a Data Systems Engineer to join our growing organization. This role will support the Director of Data Systems in designing and delivering scalable data solutions that enable business analytics, reporting, and data integration.
The ideal candidate will have strong experience with modern data platforms and a passion for building reliable, high-quality data systems. This role offers a collaborative work environment with opportunities for both in-office and remote work.
Key Responsibilities
  • Assist in the design, development, and maintenance of enterprise data platforms (data lake, warehouse, and lakehouse environments)
  • Partner with business stakeholders and product owners to develop reporting solutions, data extracts, and data models
  • Build and maintain data pipelines and ETL/ELT processes
  • Ensure data quality, integrity, and consistency across platforms such as Microsoft Fabric, Power BI, and Azure
  • Support data visualization and reporting initiatives, including Power BI dashboards and semantic models
  • Deliver project objectives on time, within scope, and with a high level of quality
  • Contribute to data governance, standards, and best practices

Experience & Education
  • Bachelor's degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience
  • 5+ years of experience writing complex SQL queries and working with data models
  • 2+ years of experience developing and maintaining ETL/ELT processes
  • Experience with modern data platforms, including Microsoft Fabric or similar cloud-based solutions

Technical Skills & Tools
  • Microsoft Fabric, Azure Data Services, Databricks
  • Power BI and Power Platform
  • Python
  • DAX
  • Microsoft Dynamics D365 (preferred)
  • Azure DevOps (or similar CI/CD tools)
  • Git version control
  • Advanced SQL (T-SQL)
  • Excel (advanced data manipulation)
  • Development tools such as VS Code and SQL Server Management Studio

Core Competencies
  • Ability to manage multiple concurrent projects and priorities in a fast-paced environment
  • Strong problem-solving and analytical skills
  • Excellent communication skills with the ability to translate technical concepts for business stakeholders
  • High attention to detail and commitment to data quality

Additional Requirements
  • Ability to travel as needed
  • Valid driver's license with a clear driving record
  • Successful completion of background check and drug/alcohol screening

Apply