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Analytics Engineer Jobs in Georgia (NOW HIRING)

Apex Informatics

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 ...

Infosys Limited Digital

Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Required Skill and Experience • Experience in Data Engineering or Analytics Engineering roles. • Expertise in analytical data modelling. • Hands-on experience with Microsoft Fabric or Azure ...

Wayne Farms LLC

Data & Analytics Lead - IT

Oakwood, GA · On-site

Review and contribute to analytics engineering code with a focus on correctness, performance, and maintainability * Experience with BI and reporting tools (Tableau, Power BI, Looker, etc.) * Define ...

MM International

Google Analytics Architect

Atlanta, GA · On-site

Strong knowledge of SQL, Python, R, or other data analysis/programming languages. * Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure). * Experience with ...

Astemo

Analysis Engineer

Tallapoosa, GA

Engineering The purpose of this position is to lead the analysis and testing of suspect xEV units using all equipment and vehicles at USTLP1. This role is also responsible for reporting analysis ...

Astemo Ltd

Analysis Engineer

Tallapoosa, GA · On-site

Engineering The purpose of this position is to lead the analysis and testing of suspect xEV units using all equipment and vehicles at USTLP1. This role is also responsible for reporting analysis ...

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Analytics Engineer information

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 Georgia? The most popular types of Analytics Engineer jobs in Georgia are:
What are popular job titles related to Analytics Engineer jobs in Georgia? For Analytics Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Georgia look for? The top searched job categories for Analytics Engineer jobs in Georgia are:
What cities in Georgia are hiring for Analytics Engineer jobs? Cities in Georgia with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Georgia as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution.

Data Network Engineer

Apex Informatics

Atlanta, GA • On-site

$110K - $132K/yr

Other

Re-posted 21 days ago

Job description

Skill
Required / Desired
Amount
of Experience
Experience in data engineering roles, preferably in government or regulated environments
Required
5
Years
Hands-on experience with Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake)
Required
5
Years
Experience with Power BI data modeling and dashboard development
Required
5
Years
Familiarity with data governance tools (Microsoft Purview, Unity Catalog)
Required
5
Years
Solid understanding of ETL/ELT pipelines, data warehousing concepts, and schema design
Required
5
Years
Bachelor's degree in Computer Science, Information Systems, or related field
Required
The Dept. of Early Care & Development (DECAL) is seeking a highly skilled and proactive Data Engineer to join our dynamic team and support the modernization of our data estate. This role is integral to the migration from legacy systems and the development of scalable, secure, and efficient data solutions using modern technologies, particularly Microsoft Fabric and Azure-based platforms. The successful candidate will contribute to data infrastructure design, data modeling, pipeline development, and visualization delivery to enable data-driven decision-making across the enterprise.
Work Location & Attendance Requirements:
• Must be physically located in metro Atlanta.
• On-site: Tuesday to Thursday, per manager's discretion
• Mandatory in-person meetings:
o All Hands
o Enterprise Applications
o On-site meetings
o DECAL All Staff
• Work arrangements subject to management's discretion
Experience Required: 5+ years
Key Responsibilities:
• Design, build, and maintain scalable ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.
• Implement medallion architecture (Bronze, Silver, Gold) to support data lifecycle and data quality.
• Support the sunsetting of legacy SQL-based infrastructure and SSRS, ensuring data continuity and stakeholder readiness.
• Create and manage notebooks (e.g., Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark.
• Build and deliver curated datasets and analytics models to support Power BI dashboards and reports.
• Develop dimensional and real-time data models for analytics use cases.
• Collaborate with data analysts, stewards, and business stakeholders to deliver fit-for-purpose data assets.
• Apply data governance policies including row-level security, data masking, and classification in line with Microsoft Purview or Unity Catalog.
• Ensure monitoring, logging, and CI/CD automation using Azure DevOps for data workflows.
• Provide support during data migration and cutover events, ensuring minimal disruption.
Technical Stack:
• Microsoft Fabric
• Azure Databricks
• SQL Server / SQL Managed Instances
• Power BI (including semantic models and datasets)
• SSRS (for legacy support and decommissioning)
Qualifications:
• Bachelor's degree in Computer Science, Information Systems, or related field
• 5+ years of experience in data engineering roles, preferably in government or regulated environments
• Proficiency in SQL, Python, Spark.
• Hands-on experience with Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake)
• Experience with Power BI data modeling and dashboard development
• Familiarity with data governance tools (Microsoft Purview, Unity Catalog)
• Solid understanding of ETL/ELT pipelines, data warehousing concepts, and schema design
• Strong communication and collaboration skills.
Preferred Qualifications:
• Certifications such as Microsoft Certified: 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 managing sunset and modernization of legacy reporting systems like SSRS
Soft Skills:
• Strong analytical thinking and problem-solving abilities
• Ability to collaborate across multidisciplinary teams
• Comfort in fast-paced and evolving technology environments
This role is critical to our shift toward a modern data platform and offers the opportunity to influence our architectural decisions and technical roadmap.

Apply