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Energy Data Engineer Jobs in Atlanta, GA (NOW HIRING)

GEI Consultants

Data Engineer

Atlanta, GA · On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... energy supply - need our brightest and diverse minds working together to create safer, more ...

GEI Consultants

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... energy supply - need our brightest and diverse minds working together to create safer, more ...

Krest Global Solutions

DATA Engineer GCP

Atlanta, GA · On-site

$58 - $60/hr

DATA Engineer - GCP Work Time Zone: EST Rate: $58-60/hour on 1099/C2C Location: Atlanta, GA (Hybrid ... Domain experience in energy , utilities , or industrial sectors Experience Requirements:

Quanta Services

Lead Data Engineer

Atlanta, GA · On-site +1

$120K - $130K/yr

Since 2014, Ampacity has delivered nearly eight gigawatts of fully engineered clean energy systems across North America. Ampacity is looking for a Lead Data Engineer to lead the rebuild and ...

Ampacity, LLC.

Lead Data Engineer

Atlanta, GA · On-site

$120K - $130K/yr

Since 2014, Ampacity has delivered nearly eight gigawatts of fully engineered clean energy systems across North America. About this Role Ampacity is looking for a Lead Data Engineer to lead the ...

Quanta Services, Inc.

Lead Data Engineer

Atlanta, GA · On-site

$120K - $130K/yr

Since 2014, Ampacity has delivered nearly eight gigawatts of fully engineered clean energy systems across North America. About this Role Ampacity is looking for a Lead Data Engineer to lead the ...

Ampacity, LLC.

Lead Data Engineer

Atlanta, GA · On-site +1

$120K - $130K/yr

Since 2014, Ampacity has delivered nearly eight gigawatts of fully engineered clean energy systems across North America. About this Role Ampacity is looking for a Lead Data Engineer to lead the ...

Gasoc

Metering & Data Systems Engineer

Tucker, GA · On-site

Ensure Critical Energy Data Is Accurate, Reliable, and Ready for Georgia's Grid Georgia System Operations Corporation (GSOC) is seeking a Metering and Historian Data Systems Engineer to ensure the ...

Tetra Tech, Inc.

Civil Engineer III

Atlanta, GA · On-site

Work includes federal, commercial, manufacturing, renewable energy, data centers, microgrids and ... Mentor/lead staff as a civil engineer lead. * Monitor work output and work to maintain quality of ...

Tetra Tech

Civil Engineer III

Atlanta, GA · On-site +1

Work includes federal, commercial, manufacturing, renewable energy, data centers, microgrids and ... Mentor/lead staff as a civil engineer lead. * Monitor work output and work to maintain quality of ...

Tetra Tech

Civil Engineer III

Atlanta, GA · On-site +1

Work includes federal, commercial, manufacturing, renewable energy, data centers, microgrids and ... Mentor/lead staff as a civil engineer lead. * Monitor work output and work to maintain quality of ...

VHB

Energy Career Opportunities at VHB

Atlanta, GA · Hybrid

At VHB, you'll work alongside planners, engineers, scientists, and technologists who share a commitment to energy innovation and data-driven solutions. Together, we tackle complex energy and climate ...

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All JobsEnergy Data Engineer JobsEnergy Data Engineer Jobs in Atlanta, GA

Energy Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do energy data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for energy data engineer in Atlanta, GA is $124,743.00, 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 an energy data engineer?

Energy Data Engineers are professionals who design, develop, and maintain systems for collecting, processing, and analyzing data related to energy production, consumption, and distribution. They work with large datasets from sources such as smart meters, sensors, and grid management systems to help energy companies optimize efficiency and support decision-making. Their role often includes building data pipelines, ensuring data quality, and collaborating with data scientists and energy analysts to deliver actionable insights.

What are the key skills and qualifications needed to thrive as an energy data engineer?

To thrive as an Energy Data Engineer, you need a solid background in data engineering, energy systems, and programming languages such as Python or SQL, often supported by a degree in engineering, computer science, or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), energy management systems, and relevant certifications like Certified Energy Manager (CEM) are typical requirements. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These competencies are crucial for optimizing energy usage, ensuring regulatory compliance, and supporting data-driven decision-making in the energy sector.

What are some common challenges energy data engineers face when working with utility-scale energy data?

Energy Data Engineers often encounter challenges related to integrating large volumes of real-time data from diverse sources such as smart meters, sensors, and SCADA systems. Ensuring data quality and consistency is crucial, as energy data can be noisy or incomplete. Additionally, aligning data formats and handling security considerations when collaborating with cross-functional teams—like data scientists, analysts, and operations staff—requires strong communication and problem-solving skills. Staying updated with evolving industry standards and tools is also essential for success in this role.

What is the difference between Energy Data Engineer vs Data Analyst in the energy industry?

AspectEnergy Data EngineerData Analyst
CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of SQL, Python, and cloud platformsBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentDevelops data pipelines, manages databases, and supports energy data infrastructureAnalyzes data sets, creates reports, and provides insights for energy projects
Industry UsageCommonly employed in energy companies, utilities, and renewable energy firmsUsed across various roles including energy, finance, and consulting firms

The Energy Data Engineer focuses on building and maintaining data systems specific to energy data, while the Data Analyst interprets data to generate insights. Both roles require strong technical skills, but their primary functions differ in infrastructure versus analysis.

Infographic showing various Energy Data Engineer job openings in Atlanta, GA as of September 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,743 per year, or $60 per hour.

Data Engineer

Atlanta, GA • On-site

GEI Consultants
Civil Engineering Construction • 1 - 5K employees
Learn more about GEI Consultantsexternal

$90K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 

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