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Data Engineering Jobs in Georgia (NOW HIRING)

Manager, Data Engineering

Atlanta, GA ยท On-site

$110K - $132K/yr

ABOUT THIS POSITION We are seeking a Technical Manager, Data Engineering, to lead and scale Waystar's data engineering function while actively contributing to the delivery of our modern data platform.

Manager, Data Engineering

Atlanta, GA

$110K - $132K/yr

ABOUT THIS POSITION We are seeking a Technical Manager, Data Engineering, to lead and scale Waystar's data engineering function while actively contributing to the delivery of our modern data platform.

Manager, Data Engineering

Atlanta, GA ยท On-site

$110K - $132K/yr

ABOUT THIS POSITION We are seeking a Technical Manager, Data Engineering, to lead and scale Waystar's data engineering function while actively contributing to the delivery of our modern data platform.

Manager, Data Engineering AMAT Atlanta, Georgia, United States Job ID: 525350 CRH's Americas Materials division is the leading integrated supplier of aggregates, asphalt, ready mixed concrete and ...

The Manager, Data Engineering will facilitate the definition of data solutions, technical architecture, and delivery plans while ensuring high standards of data quality, governance, and security.

Lead a team of data engineers through coaching, mentorship, and technical guidance * Support individual career development and performance feedback, creating growth opportunities for your team

Lead a team of data engineers through coaching, mentorship, and technical guidance * Support individual career development and performance feedback, creating growth opportunities for your team

Lead a team of data engineers through coaching, mentorship, and technical guidance * Support individual career development and performance feedback, creating growth opportunities for your team

Technical Manager, Data Engineering

Atlanta, GA ยท On-site

$110K - $132K/yr

ABOUT THIS POSITION We are seeking a Technical Manager, Data Engineering, to lead and scale Waystar's data engineering function while actively contributing to the delivery of our modern data platform.

Data Engineering Lead- Finance

Atlanta, GA

$110K - $132K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Champion modern data engineering principles and a systems-thinking approach across multiple teams, ensuring architectural integrity and alignment with CocaCola's Enterprise Data Engineering strategy.

About this role We are seeking a Data Architect & Engineering Lead to drive the strategy and execution of our next-generation data platform. This leader will be responsible for designing ...

\n \n \n \n \n We are looking for a highly skilled Data Engineering Lead to spearhead the development and optimization of advanced data solutions. This role requires an individual with expertise in ...

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Showing results 1-20

Data Engineering information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do data engineering jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineering in Georgia is $139,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $143,500.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Georgia? The most popular types of Data Engineering jobs in Georgia are:
What are popular job titles related to Data Engineering jobs in Georgia? For Data Engineering jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Data Engineering jobs? Cities in Georgia with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $139,338 per year, or $67 per hour.

Manager, Data Engineering

Crew Career Center

Atlanta, GA โ€ข On-site

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Posted 7 days ago


Job description

ABOUT THIS POSITION

We are seeking a Technical Manager, Data Engineering, to lead and scale Waystar's data engineering function while actively contributing to the delivery of our modern data platform. This role combines people leadership, technical ownership, and hands-on engineering to drive execution across our BigQuery-based data platform.
You will be responsible for managing a team of data engineers, setting technical directions, and ensuring the successful delivery of scalable ingestion and transformation pipelines across a Medallion architecture (Bronze/Silver/Gold) on Google Cloud Platform (GCP). This leader will partner closely with platform leadership, governance, and business domains to establish a reliable, governed, and high-performing data ecosystem.

WHAT YOU'LL DO

Team Leadership & Delivery Ownership

  • Lead, mentor, and scale a team of data engineers supporting multiple business domains
  • Drive delivery accountability, sprint execution, and engineering best practices
  • Establish development standards, code reviews, and performance expectations
  • Manage capacity, workload balance, and resource planning across initiatives
  • Partner with leadership to align engineering priorities with strategic goals

Technical Leadership & Architecture

  • Define and enforce data engineering standards, patterns, and best practices
  • Provide hands-on technical leadership across BigQuery, dbt, and ingestion frameworks
  • Guide architecture decisions for scalable, secure, and cost-efficient data pipelines
  • Lead design of domain-aligned, reusable data models and pipelines
  • Ensure alignment with governance, data classification, and access control frameworks

Pipeline Engineering & Delivery (Hands-On)

  • Design, build, and maintain ELT pipelines into BigQuery using Fivetran and custom APIs
  • Oversee and contribute to development of bronze, silver, and gold layers
  • Support and review dbt models, transformations, and orchestration workflows
  • Implement orchestration using Cloud Composer (Managed Airflow)
  • Act as an escalation point for complex technical issues and delivery risks

Data Quality, Observability & Governance

  • Enforce data quality, validation, and monitoring standards across pipelines
  • Implement logging, alerting, and observability frameworks
  • Ensure performance optimization for BigQuery (partitioning, clustering, cost management)
  • Enforce security best practices including IAM roles, data access, and auditability
  • Drive adherence to data lineage, documentation, and governance requirements

Platform Engineering & Enablement

  • Champion CI/CD practices using GitHub and modern deployment pipelines
  • Drive Infrastructure-as-Code standards (Terraform) for platform consistency
  • Improve developer experience, onboarding, and engineering productivity
  • Collaborate with Data Governance and Data Champions to enable domain ownership

What You'll Need

  • 8+ years of data engineering experience with enterprise-scale platforms
  • 2+ years of experience leading or managing data engineering teams
  • Strong hands-on expertise with GCP and BigQuery
  • Advanced experience with dbt (required)
  • Experience with Fivetran and API-based ingestion frameworks
  • Strong Python skills including API integrations and automation
  • Proven experience building scalable ELT pipelines and data models
  • Experience with data quality, validation frameworks, and observability
  • Proficiency with GitHub, CI/CD workflows, and code review practices
  • Strong understanding of data governance, lineage, and access controls
  • Experience working in regulated environments (e.g., healthcare) preferred

WHAT YOU'LL NEED

  • Experience leading teams through cloud data platform migrations (e.g., Snowflake BigQuery)
  • Experience with Terraform (IaC) and platform automation
  • Familiarity with Harness CI/CD and GitHub Actions
  • Experience with Snowflake and Azure Data Factory (ADF)
  • Knowledge of data mesh / domain-driven data ownership models
  • Experience driving engineering standards across distributed teams

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.