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Senior Analytics Engineer Jobs in Georgia (NOW HIRING)

QGenda

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform, including pipelines, models, and infrastructure that power analytics, reporting, and data-driven ...

Revenue Analytics

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing ... As a Senior Full-Stack Software Engineer, you'll own end-to-end delivery across our analytics ...

Home Depot

Sr. Analyst - Rental Infrastructure

Atlanta, GA · On-site

$83K - $110K/yr

The Sr. Analyst, Rental Infrastructure - Facilities will drive the operational excellence, asset ... Engineering or related field * 5 years of work experience is preferred * Working knowledge of ...

Wayne Farms LLC

Data & Analytics Lead - IT

Oakwood, GA · On-site

... to senior stakeholders * Establish and maintain a shared understanding of metrics, data standards, and ownership across the organization Analytics Engineering & Technical Leadership * Provide ...

Fiserv, Inc.

Senior Data & ML Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

As a Senior Data & ML Engineer, you will play a lead technical role in building and ... Merchant Opportunity Analysis (MOA) refers to the analytical capability used to identify merchant ...

Shoptalk

Senior Data & ML Engineer

Alpharetta, GA · On-site

$140 - $210/hr

As a Senior Data & ML Engineer, you will play a lead technical role in building and ... Merchant Opportunity Analysis (MOA) refers to the analytical capability used to identify merchant ...

New

Revenue Analytics, Inc.

Senior Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing ... As a Senior Full-Stack Software Engineer, you'll own end-to-end delivery across our analytics ...

Monitise

Senior Data & ML Engineer

Alpharetta, GA

$103K - $140K/yr

As a Senior Data & ML Engineer, you will play a lead technical role in building and ... Merchant Opportunity Analysis (MOA) refers to the analytical capability used to identify merchant ...

Boeing

$126K - $171K/yr

Electrical Design and Analysis Engineers (Mid and Senior Level) Company: The Boeing Company Boeing ... Engineer to support the C-17 repair environment, serving as the go-to technical resource for ...

BSC Analytics

$150K - $175K/yr

Remote (USA) Compensation: $150,000 - $175,000 / year Description As a Senior Platform Engineer at BSC Analytics, you'll be part of a high-performing squad of four to five engineers tackling complex ...

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All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Georgia

Senior Analytics Engineer information

See Georgia salary details

$50.2K

$106.9K

$154.9K

How much do senior analytics engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior analytics engineer in Georgia is $106,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $121,200.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

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

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

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

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
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 Senior Analytics Engineer jobs in Georgia? For Senior Analytics Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Georgia look for? The top searched job categories for Senior Analytics Engineer jobs in Georgia are:
What cities in Georgia are hiring for Senior Analytics Engineer jobs? Cities in Georgia with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Georgia as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,862 per year, or $51.4 per hour.

Senior Data Engineer

QGenda

Atlanta, GA • Hybrid

$101K - $138K/yr

Full-time

Re-posted 14 days ago

Job description

About Your Role 

As a Senior Data Engineer, you will design, build, and optimize the data platform, including pipelines, models, and infrastructure that power analytics, reporting, and data-driven decision making across the QGenda product lines. You will serve as a technical leader with the team, contributing to architectural direction, driving best practices, and supporting complex data initiatives. This role requires deep technical expertise, strong cross-functional collaboration, and the ability to deliver scalable, high-performing data systems that meet evolving business needs.

How You'll Make an Impact 

Deliver High-Quality, Scalable Data Engineering Solutions

  • Architect, develop, test, and maintain ELT/ETL pipelines and data workflows supporting high-volume analytics
  • Implement advanced data processing solutions and observability techniques to ensure data is accurate, fresh, and reliable
  • Design and refine data models and semantic layers that support analytical self-service and advanced reporting.
  • Build data visualizations and dashboards supporting analytics use cases

Strengthen Data Engineering Practices and Technical Standards

  • Translate complex business and analytics requirements into efficient, scalable data solutions
  • Apply best practices for version control, documentation, CI/CD, Infrastructure as Code, and data governance
  • Participate in code reviews, identify opportunities for architectural improvement,, and contribute to continuous improvement efforts

Collaborate Across Teams

  • Partner with data engineers, DBAs, managers, and business stakeholders to deliver high-impact data products
  • Provide technical guidance, informal mentorship, and support to other engineers in order to elevate team capabilities
  • Communicate technical decisions, risks, and recommendations to both technical and non-technical audiences

Drive Technical Excellence

  • Optimize data pipelines and warehouse performance for speed, cost, and scalability
  • Evaluate, prototype, and influence adoption of new tools, frameworks, and architectural patterns that enhance the data platform
  • Contribute to data observability, incident response, and root-cause analysis for complex data issues
  • Design and deliver AI-ready data products, ensuring data structures, metadata, and pipelines are suitable for natural language processing, predictive analytics, and other AI-driven capabilities
Who You Are
  • Exceptional analytical, problem solving, and debugging skills
  • Strong communication with the ability to simplify and articulate technical concepts
  • Ability to work collaboratively, influence architecture, and take ownership of deliverables
  • Commitment to quality, reliability, and continuous improvement
Experience You Bring 
  • 5-7+ years in data engineering/analytics engineering, or related field
  • Bachelor's degree specializing in computing, data engineering, or related discipline
  • Expertise in distributed data processing, data modeling, and performance tuning
  • Strong proficiency in SQL and Python
  • Experience with modern data stack components, such as:
    • Cloud: AWS, GCP, Azure
    • Warehouses: Snowflake, Redshift, BigQuery, etc.
    • Orchestration: Airflow, MWAA, Composer, etc.
    • Transformation: dbt, etc.
    • Observability: data lineage/monitoring tools
    • BI: Looker, Tableau, Power BI, etc.
    • DevOps: Git, CI/CD, Terraform/CloudFormation
Not Required, But Nice to Have 
  • Experience preparing datasets and data structures for AI/ML use cases, including NLP-driven analytics
  • Experience with Glue, Dataflow

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