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Data Analytics Engineer Jobs in Georgia (NOW HIRING)

Consulting and requirements engineering with and for key stakeholders within USA & North America.* Project Management, consulting and development for global Data & Analytics projects with focus on ...

Role Summary Rivian is seeking a passionate and data-driven Staff Analytics Engineer to join our People Systems Team. In this pivotal role, you'll be instrumental in delivering impactful insights ...

Data Analytics Analyst III { GC & US Citizen only} Location: Atlanta, Ga 30308 Duration: 6 Months ... SQL & Data Engineering * Develop advanced SQL queries across relational databases: * Azure SQL

Lead Analytics Engineer

Atlanta, GA · On-site +1

$98K - $129K/yr

Define data quality expectations, implement automated checks and anomaly detection, and triage resolutions collaboratively with engineering teams. * Conduct comprehensive deep-dive analyses ...

Program Manager - Data & Analytics POSITION NUMBER: 260821-0085-PM-DA POSITION LOCATION: Atlanta ... This role will coordinate surveillance data management, statistics, data science, programming ...

New

Proficiency in data visualization tools such as Tableau or Power BI * Programming experience in Python or R for data manipulation, scripting, and statistical analysis * Experience conducting time-and ...

Proficiency in data visualization tools such as Tableau or Power BI * Programming experience in Python or R for data manipulation, scripting, and statistical analysis * Experience conducting time-and ...

Data Network Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Fabric Analytics Engineer or Azure Data Engineer Associate • Knowledge of CI/CD automation with Azure DevOps • Familiarity with data security and compliance (e.g., FIPS 199, NIST) • Experience ...

Showing results 41-60

Data Analytics Engineer information

See Georgia salary details

$37.6K

$109.5K

$149.9K

How much do data analytics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analytics engineer in Georgia is $109,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $116,100.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Georgia?

The most popular types of Data Analytics Engineer jobs in Georgia are:

What job categories do people searching Data Analytics Engineer jobs in Georgia look for?

The top searched job categories for Data Analytics Engineer jobs in Georgia are:

What cities in Georgia are hiring for Data Analytics Engineer jobs?

Cities in Georgia with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,530 per year, or $52.7 per hour.

Banking Data & Analytics SME

Techgene Solutions LLC

Atlanta, GA • On-site

Other

Posted 4 days ago


Job description

Position: Banking Data & Analytics SME

Duration 6+ Month Contract Likely Extension
Location : Alpharetta GA

Summary

We are seeking a senior banking professional who can act as a liaison between business stakeholders and data/analytics teams.

This person will work closely with bank executives and stakeholders to define business requirements, reporting needs, KPIs, customer analytics initiatives, and data-driven business solutions.

This is NOT a Data Engineer position.

This is a Banking SME / Business Consultant / Product Owner style role.

Must-Have Experience

Banking Domain

  • Retail Banking
  • Commercial Banking
  • Banking Operations
  • Banking Analytics
  • Financial Institution experience in the U.S.

Data & Analytics

  • Data Warehousing
  • Business Intelligence
  • Reporting & Analytics
  • Customer 360 Initiatives
  • KPI Definition
  • Data Requirements Gathering

Business Consulting

  • Executive Stakeholder Management
  • Requirements Gathering
  • Workshop Facilitation
  • Business Process Analysis
  • Translating Business Needs for Technical Teams