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Data Engineer Jobs in Atlanta, GA (NOW HIRING)

Data Engineer

Atlanta, GA ยท On-site +1

$155K - $165K/yr

The Role Are you a data engineer who thrives on building robust pipelines and solving complex data challenges? In this role, you'll own Alt's critical data infrastructure that powers our pricing ...

Sr Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power ...

Azure Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Data Engineer Duration: FULL TIME (Accepting H1B Transfer ) Location: Atlanta, GA - On-Site ( Hybrid) Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and ...

Data Engineer IV

Atlanta, GA ยท On-site

$110K - $132K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, Atlanta GA, 30308 HYBRID Duration: 6 Months Client: Georgia Power Position Overview The Data Engineer ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power ...

Data Engineer 4

Atlanta, GA ยท On-site

$110K - $132K/yr

Mindlance is a confidential company seeking a Modern Data Engineer with extensive experience in data engineering roles. The role involves building and optimizing data pipelines, supporting analytics ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Title- Data Engineer Location- Atlanta, GA - Hybrid (3 days/week in the office) LOCALS ONLY Type- Contract - C2C/W2 Duration- 12+ Months Mode of Interview- F2F Visa- Open - Responsible for supporting ...

Sr Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

Data Engineer 3

Atlanta, GA ยท On-site

$110K - $132K/yr

Data Engineer 3 Location: Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position Overview The Quality Assurance Data Engineer plays a critical role in validating the integrity ...

Data Engineer 3

Atlanta, GA ยท On-site

$110K - $132K/yr

Data Engineer 3 - Quality Assurance (AI & Data Platforms) Location: Atlanta, Ga 30309 Duration: 10 Months Client- Southern Company Gas Position Overview We are seeking an experienced Data Engineer ...

Data Engineer

Atlanta, GA ยท On-site

$87K - $157K/yr

Leidos is seeking a Data Engineer to support the National Healthcare Safety Network (NHSN) support contract on a strategic modernization initiative to migrate SAS datasets, ETL processes, and ...

Lead Data Engineer

Sandy Springs, GA ยท On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

Data Engineer

Atlanta, GA ยท On-site

$87K - $157K/yr

Leidos is seeking a Data Engineer to support the National Healthcare Safety Network (NHSN) support contract on a strategic modernization initiative to migrate SAS datasets, ETL processes, and ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

GCP Data Engineer

Alpharetta, GA

$111K - $134K/yr

Local Candidate only, Alpharetta, GA Overview We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and ...

The ideal candidate combines strong data engineering fundamentals with hands-on experience in modern AI development workflows, including integration into business processes. Key Responsibilities ...

Temporary - Data Engineer

Atlanta, GA ยท On-site +1

$110K - $132K/yr

As a key member of ACS's growing enterprise data practice, the Data Engineer will play a central role in designing, building, and optimizing a modern data ecosystem leveraging Microsoft Azure ...

Showing results 41-60

Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data engineer in Atlanta, GA is $124,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Atlanta, GA? The most popular types of Data Engineer jobs in Atlanta, GA are:
What job categories do people searching Data Engineer jobs in Atlanta, GA look for? The top searched job categories for Data Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Engineer jobs? Cities near Atlanta, GA with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $124,738 per year, or $60 per hour.

Data Engineer

Alt

Atlanta, GA โ€ข On-site, Remote

$155K - $165K/yr

Full-time

Posted 6 days ago


Job description

Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo. Our next frontier is real-time pricing at scale—the Alt Value that powers every trade, loan, and product on the platform.

The Role

Are you a data engineer who thrives on building robust pipelines and solving complex data challenges? In this role, you'll own Alt's critical data infrastructure that powers our pricing model and marketplace insights by ingesting transaction and listing data from dozens of external marketplaces. You'll be responsible for ensuring our data pipelines deliver fresh, accurate information that drives pricing decisions, market analytics, and business intelligence across the entire platform.

What you'll do here
  • Design, optimize and own data pipelines that scrape, process and ingest transaction and listing data from major auction houses and marketplaces.
  • Build comprehensive monitoring and alerting systems to track latency, uptime, and coverage metrics across all data sources.
  • Continuously improve our data infrastructure by modernizing storage and processing technologies, reducing manual interventions, and optimizing for cost, performance, and reliability.
  • Partner with internal teams to understand data usage patterns and ensure pipelines deliver clean, standardized data that meets product requirements.
This is a perfect fit if you...
  • Care deeply about data quality and understand that extraction is only the beginning - the real value comes from delivering clean and usable data.
  • Thrive in a startup environment where you can make immediate impact and own critical systems end-to-end.
  • Take an incremental approach to improvements, preferring evidence-based decisions over wholesale replacements.
  • Are intellectually curious about how data flows through systems and passionate about automation opportunities.
  • Want to work at the intersection of data engineering and product, understanding how your pipelines directly impact business outcomes.
What you bring to the table

Must-haves:

  • 3-4 years of experience in data engineering or related fields
  • Strong Python proficiency with at least 3 years of hands-on experience
  • Proven experience with large-scale data processing using dataframe technologies (Pandas, Polars, PySpark, or similar)
  • Hands-on experience with pipeline orchestration tools (Airflow, Dagster, or similar DAG-based systems)
  • Track record of owning at least one data pipeline end-to-end within the past 2 years
  • Solid SQL skills for data analysis and transformation
  • Previous startup experience - you understand the pace and adaptability required in a fast-moving environment
  • A pragmatic mindset focused on delivering value incrementally rather than pursuing perfection

Nice-to-haves:

  • Experience with web scraping technologies (Selenium, Puppeteer, Beautiful Soup)
  • Familiarity with data infrastructure and cloud services (AWS preferred)
  • Interest in or knowledge of trading cards, collectibles, or alternative asset markets
  • Experience with LLM-based automation tools for data extraction and processing
What You'll Get From Us
  • A seat at the table to help shape the future of Alt and the alternative asset space
  • Autonomy and ownership on projects that matter
  • $100/month work-from-home stipend
  • $200/month wellness stipend
  • WeWork office stipend
  • 401(k) retirement benefits
  • Flexible vacation policy
  • Generous paid parental leave
  • Competitive healthcare benefits, including HSA, for you and your dependent(s)

Base salary range: $155,000–$165,000, plus equity. Offers may vary based on experience, location, and other factors.