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Analytics Engineer Jobs in Atlanta, GA (NOW HIRING)

Title: Analytics Engineer Duration : Long term Location: Atlanta, Georgia 30334(Hybrid) Skills: Years of experience in data engineering or analytics engineering roles. Advanced SQL: Proficiency in ...

Analytics Engineer Start Date: 08/18/2025 End Date: 07/21/2025 Agency Interview Type: Either Web Cam or In Person Interview Work Arrangement: Hybrid The Analytics Engineer will contribute to our ...

DECAL Analytics Engineer Location: Atlanta, GA 3+ years of experience in data engineering or analytics engineering roles. Required 3 Years Advanced SQL: Proficiency in advanced SQL techniques for ...

Senior Analytics Engineer

Atlanta, GA

$100K - $138K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise-wide ...

The Principal Analytics Engineer's role moves beyond execution to focus on architectural governance, acting as the dbt expert to define and enforce data product development best practices for ...

Senior People Analytics Engineer

Riverdale, GA ยท On-site

$94K - $129K/yr

As a Senior Analytics Engineer, you'll leverage your expertise to build robust data pipelines, create intuitive and powerful dashboards, and ensure data quality and accessibility. You'll also play a ...

Senior People Analytics Engineer

Riverdale, GA ยท On-site

$94K - $129K/yr

As a Senior Analytics Engineer, you'll leverage your expertise to build robust data pipelines, create intuitive and powerful dashboards, and ensure data quality and accessibility. You'll also play a ...

Senior People Analytics Engineer

Atlanta, GA ยท On-site

$100K - $138K/yr

As a Senior Analytics Engineer, you'll leverage your expertise to build robust data pipelines, create intuitive and powerful dashboards, and ensure data quality and accessibility. You'll also play a ...

The Senior Analytics Engineer is responsible for designing, building, and maintaining critical data pipelines, data models, and infrastructure solutions that enable data products across project ...

As a Staff Analytics Engineer, you'll leverage your expertise to build robust data pipelines, create intuitive and powerful dashboards, and ensure data quality and accessibility. You'll also play a ...

As a Staff Analytics Engineer, you'll leverage your expertise to build robust data pipelines, create intuitive and powerful dashboards, and ensure data quality and accessibility. You'll also play a ...

As a Staff Analytics Engineer, you'll leverage your expertise to build robust data pipelines, create intuitive and powerful dashboards, and ensure data quality and accessibility. You'll also play a ...

Senior Analytics Engineer

Alpharetta, GA ยท On-site +1

$115K - $145K/yr

The Senior Analytics Engineer is responsible for designing, building, and maintaining critical data pipelines, data models, and infrastructure solutions that enable data products across project ...

Sr Analytics Engineer

Atlanta, GA ยท On-site

$160K - $216K/yr

Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data ...

The Senior Analytics Engineer is responsible for designing, building, and maintaining critical data pipelines, data models, and infrastructure solutions that enable data products across project ...

As a Test & Analytics Engineer, you will design experimental frameworks, execute structured tests in live operational environments, and develop analyses that directly inform which technologies ...

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Analytics Engineer information

See Atlanta, GA salary details

$61.9K

$108K

$176.2K

How much do analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for analytics engineer in Atlanta, GA is $108,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,683.00 and $121,272.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Atlanta, GA? The most popular types of Analytics Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Analytics Engineer jobs? Cities near Atlanta, GA with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $108,042 per year, or $51.9 per hour.

Analytics Engineer

Caresoft Inc.

Atlanta, GA โ€ข On-site

Contractor

Re-posted 26 days ago


Job description

Title:  Analytics Engineer 
Duration : Long term 
Location: Atlanta, Georgia 30334(Hybrid)

 
Skills:
Years of experience in data engineering or analytics engineering roles.
Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization.
Azure Databricks (Spark, Delta Lake)
Microsoft Fabric (Dataflows, Pipelines, OneLake)
SQL and Python (Pandas, PySpark)