ZipRecruiter

Log In

1

Data Systems Engineer Jobs in Georgia (NOW HIRING)

Judge Group, Inc.

Systems Engineer 3

Warner Robins, GA · On-site

... Data Requirement List (CDRLs) to the USAF customer. - Supports the annual DEA Program Assessment. - Frequently interacts with C-17 USAF and FMS SPO Engineering personnel. - Collaborates with systems ...

Futurewave Systems

Systems Engineer

Columbus, GA

Work with users to gather business requirements, performa data analysis, code and test middleware ... Maintain an up-to-date knowledge base and understanding of system programming, graphical user ...

Kemper

Senior Data Systems Analyst

Alpharetta, GA · On-site

$84K - $105K/yr

The Data Systems Analyst serves as an independent quality function within the Data Engineering ... Partner with engineering and operational teams to prioritize remediation activities. * Track ...

New

VAST Data

Senior Systems Engineer

Atlanta, GA · On-site

$100K - $137K/yr

Description VAST Data is looking for a Senior Systems Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an ...

Pcom

Systems Engineer

Moultrie, GA

Systems Engineer Department: ITS - System Operations (Richard Hartford) FLSA: United States of ... Proven experience with storage planning, security principles, and general data management best ...

next page

Showing results 1-20

All JobsData Systems Engineer JobsData Systems Engineer Jobs in Georgia

Data Systems Engineer information

See Georgia salary details

$45.2K

$107.4K

$141K

How much do data systems engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data systems engineer in Georgia is $107,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $132,600.00 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.
What are popular job titles related to Data Systems Engineer jobs in Georgia? For Data Systems Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Systems Engineer jobs in Georgia look for? The top searched job categories for Data Systems Engineer jobs in Georgia are:
Data Systems Engineer jobs near you
Infographic showing various Data Systems Engineer job openings in Georgia as of June 2026, with employment types broken down into 2% As Needed, 77% Full Time, 3% Part Time, 1% Temporary, 16% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $107,418 per year, or $51.6 per hour.
AI & Data Systems Engineer (Remote)

AI & Data Systems Engineer (Remote)

Ceribell, Inc

Atlanta, GA • On-site, Remote

$161K - $173K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

About Ceribell

Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!

Position Overview:

The AI & Data Systems Engineer will be a key individual contributor on Ceribell's Data Architecture & Engineering team, responsible for much of the hands-on implementation work that turns architectural plans into reality. This role exists at the intersection of software development, data engineering, and DevOps as someone who is equally comfortable writing application code and managing the infrastructure those systems run on.

A significant part of this role involves taking ideas and early-stage prototypes for AI-powered internal tools and engineering them into stable, supportable internal applications. The ideal candidate is a versatile builder who can move fluidly across layers of the stack, understands when something is production-ready versus when it needs to be rebuilt properly, and takes pride in writing code and infrastructure that others can maintain and build on.

What you'll do:

  • Implement internal tools and applications based on architectural direction from the Director of Data Architecture & Engineering, including taking stakeholder prototypes and re-engineering them into production-grade systems.
  • Manage and maintain the infrastructure supporting internal AI tools and data systems, including deployment, configuration, monitoring, and incident response.
  • Write clean, well-documented code across whatever languages and frameworks the work requires; apply sound engineering practices around testing, version control, and code review.
  • Evaluate and integrate AI tools and third-party services into internal workflows where they provide clear value, with attention to security, cost, and long-term maintainability.
  • Contribute to data quality practices: implementing automated checks, investigating pipeline failures, and helping establish clear data ownership and lineage.
  • Collaborate with stakeholders across the business to understand requirements, surface technical tradeoffs, and deliver solutions that meet actual needs rather than assumed ones.
  • Support access control and permissions management across systems and tooling, contributing to the team's broader security and governance practices.
  • Maintain thorough documentation of systems, data flows, and processes so that institutional knowledge is preserved and accessible.
  • Other responsibilities as assigned by your Manager/Supervisor

What We're Looking For:

  • 3 - 6 years of hands-on experience in a technical role spanning some combination of software development, data engineering, and infrastructure or DevOps work.
  • Experience implementing and deploying AI solutions in a production environment, including model integration, API usage, and operational maintenance.
  • Proficiency in at least one general-purpose programming language (e.g. Python) and comfort picking up new languages or frameworks as the work demands.
  • Experience building and maintaining data pipelines, including working with APIs, relational databases, and cloud data platforms.
  • Working knowledge of DevOps practices and tools: CI/CD pipelines, containerization (Docker), cloud infrastructure (AWS, GCP, or Azure), and infrastructure-as-code concepts.
  • Demonstrated ability to read and understand existing codebases, including prototypes or AI-generated code, assess their quality, and refactor or rebuild them as appropriate.
  • Familiarity with enterprise business systems such as Snowflake, Salesforce, NetSuite, or similar platforms, including working with their APIs and data models.
  • Strong attention to detail.
  • Good written and verbal communication skills; able to explain technical decisions clearly to non-technical colleagues.
  • Bachelor's degree in Computer Science, Engineering, or a related field preferred; equivalent practical experience accepted.

Compensation:

San Francisco Bay Area, Los Angeles, and New York City Metropolitan Locations: $161K - $173K

All other National Locations: $141K - $162K

Compensation Range
$141,000—$173,000 USD

A candidate's final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell's corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.

In addition to your base compensation, Ceribell offers eligible employees the following:

  • Performance-based incentive compensation (varies by role)
  • Equity opportunities
  • 100% Employer paid Health Benefits for Employees
  • 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
  • 100% paid Life and Long-Term Disability Insurance
  • 401(k) with a generous company match
  • Employee Stock Purchase Plan (ESPP) with a discount
  • Monthly cell phone stipend
  • Flexible paid time off
  • 13 Paid Holidays + 3 Company Wellness Days
  • Excellent parental leave policy
  • Fantastic culture with tremendous career advancement opportunities
  • Joining a mission-minded organization!

Application Deadline: Ongoing

Other Job Details
Ceribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPs' names, addresses and the type of payments or other value received, generally for public disclosure. If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address and the amount of payments made may be reported to the government.

Equal Opportunity Employer
Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation.

Privacy Statement
For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy.

Compliance Disclaimer
If you believe this job posting is non-compliant, please submit a report to legal@ceribell.com. Please note that we will not respond to inquiries unrelated to job posting compliance.