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Data Engineering Jobs in Georgia (NOW HIRING)

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

As a senior member of the data engineering team, you will be responsible for developing scalable data validation frameworks, ensuring data integrity across pipelines and platforms, implementing ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

Learn best practices for logging, testing, and error handling Platform & Engineering Practices * Contribute to version-controlled development using GitHub * Assist in documenting data pipelines ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Learn best practices for logging, testing, and error handling Platform & Engineering Practices * Contribute to version-controlled development using GitHub * Assist in documenting data pipelines ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Learn best practices for logging, testing, and error handling Platform & Engineering Practices * Contribute to version-controlled development using GitHub * Assist in documenting data pipelines ...

Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Key Responsibilities Data Engineering & Pipeline Development * Design, build, and maintain scalable and reliable data pipelines * Combine raw data from multiple sources into clean, structured ...

Data Engineer

Atlanta, GA

$113K - $136K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job ...

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job ...

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job ...

Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Collaborate cross-functionally to deliver high-quality data engineering solutions About You * 3-5 years of experience building data pipelines in production or near-production environments * Hands-on ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

Job Purpose and Impact The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

KEY RESPONSIBILITIES Data Engineering & AI Pipeline Development: * Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

KEY RESPONSIBILITIES Data Engineering & AI Pipeline Development: * Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

KEY RESPONSIBILITIES Data Engineering & AI Pipeline Development: * Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable ...

Showing results 41-60

Data Engineering information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do data engineering jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineering in Georgia is $139,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $143,500.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Georgia? The most popular types of Data Engineering jobs in Georgia are:
What are popular job titles related to Data Engineering jobs in Georgia? For Data Engineering jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Data Engineering jobs? Cities in Georgia with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $139,338 per year, or $67 per hour.

Talent Acquisition Partner (Product, Data, & Engineering)

The Consensus

Atlanta, GA • On-site

$120 - $170/hr

Other

Posted 6 days ago


Job description

## Talent Acquisition Partner (Product, Data, & Engineering)Applylocations: Remote, United Statestime type: Full timeposted on: Posted Yesterdayjob requisition id: JR102772Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale.With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.We are looking for a talented and driven Talent Acquisition Partner to join our growing People team. In this role, you will own full-cycle recruiting for some of Stord's most competitive and highest-impact hires: Data Engineers & Data Scientists, AI Engineers, Product Managers, and Software Engineers. You'll act as a true hybrid of technical and product recruiter — equally comfortable evaluating a candidate's system design chops as you are assessing product sense and roadmap thinking. You'll partner directly with engineering and product leadership to understand hiring needs, build sourcing strategies for hard-to-find skillsets, and deliver an exceptional candidate experience from first outreach through offer. This is a high-visibility role within our R&D organization, where your ability to identify, engage, and close top technical and product talent will directly shape the teams building the next generation of software at Stord.## What You'll Do:* **Full-Cycle Recruiting:** Own the end-to-end recruiting process for technical and product roles — intake, sourcing, screening, interview coordination, offer negotiation, and close.* **Strategic Sourcing:** Build and execute creative sourcing strategies (LinkedIn Recruiter, Boolean/X-ray search, GitHub, niche communities, referrals) to identify passive candidates for hard-to-fill roles like AI Engineers and Data Scientists.* **Stakeholder Partnership:** Partner closely with hiring managers across Engineering, Data, AI, and Product to define role requirements, calibrate candidate profiles, and build hiring plans that scale with the business.* **Candidate Experience:** Act as a brand ambassador for Stord, delivering a thoughtful, transparent, and fast-moving experience for every candidate, regardless of outcome.* **Technical & Product Assessment:** Develop enough fluency in engineering, data, and product domains to accurately screen for technical depth, product sense, and role fit — asking sharp, informed questions in early-stage conversations.* **Pipeline & Market Insight:** Track pipeline health, conversion metrics, and time-to-fill; bring market intelligence (compensation trends, competitor movement, talent availability) back to hiring teams.* **Process Improvement:** Continuously refine interview processes, scorecards, and workflows to reduce time-to-hire while maintaining a high talent bar.* **Cross-Team Collaboration:** Work with People Ops, Compensation, and other TA Partners to ensure consistent, equitable, and compliant hiring practices across the org.## What You'll Need:* 4+ years of full-cycle recruiting experience, with a strong focus on technical and/or product hiring* Demonstrated success recruiting for roles such as Software Engineers, Data Engineers, Data Scientists, AI/ML Engineers, or Product Managers* Strong sourcing skills, including advanced Boolean/X-ray search and passive candidate outreach* Ability to credibly engage technical and product stakeholders, translating role requirements into effective sourcing and screening strategies* Excellent communication and relationship-building skills, with a track record of strong candidate and hiring manager satisfaction* Experience managing a high-volume, multi-req pipeline in a fast-paced, high-growth environment* Proficiency with an ATS (e.g., Workday, Greenhouse, Lever) and recruiting tools (LinkedIn Recruiter, sourcing extensions, etc.)* Data-driven approach to recruiting, with comfort tracking and reporting on pipeline metrics## Bonus Points* Previous in-house recruiting experience at a high-growth startup or scale-up* Experience recruiting for AI/ML or applied data science teams specifically* Background or working knowledge of software engineering, data infrastructure, or product management concepts* Experience partnering with Engineering and Product leadership on headcount planning* Previous logistics, supply chain, or commerce/e-commerce industry experience* Experience building out employer branding or talent marketing initiatives**We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Stord participates in E-verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.** #J-18808-Ljbffr