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Manager Data Engineering Jobs in Cumming, GA (NOW HIRING)

Manager, Data Engineering

Atlanta, GA · On-site

$120 - $150/hr

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 · 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 · 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 · 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 · On-site

$120 - $150/hr

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

The Challenge As Senior Manager, Data Engineering and Platform you will be a people leader of a team of Data Engineers responsible for creating platform and data engineering architecture for business ...

The Challenge As Senior Manager, Data Engineering and Platform you will be a people leader of a team of Data Engineers responsible for creating platform and data engineering architecture for business ...

The Challenge As Senior Manager, Data Engineering and Platform you will be a people leader of a team of Data Engineers responsible for creating platform and data engineering architecture for business ...

THE POSITION Our roster has an opening with your name on it We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and ...

THE POSITION Our roster has an opening with your name on it We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and ...

THE POSITION Our roster has an opening with your name on it We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and ...

The Manager, Master Data Management directs the team's delivery of domain data models, match/merge ... Coordinate with Data Engineering to ensure data flows between source systems, the MDM platform, the ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Manage data lifecycle policies and archiving processes. Data Transformation and Processing ... Provide technical guidance and best practices to the data engineering and business teams.

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Showing results 1-20

Manager Data Engineering information

See Cumming, GA salary details

$27.7K

$86.7K

$153.4K

How much do manager data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for manager data engineering in Cumming, GA is $86,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $112,000.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in Cumming, GA?

The most popular types of Data Engineering jobs in Cumming, GA are:

What are popular job titles related to Manager Data Engineering jobs in Cumming, GA?

For Manager Data Engineering jobs in Cumming, GA, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Cumming, GA look for?

The top searched job categories for Manager Data Engineering jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Manager Data Engineering jobs?

Cities near Cumming, GA with the most Manager Data Engineering job openings:

Infographic showing various Manager Data Engineering job openings in Cumming, GA as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $86,660 per year, or $41.7 per hour.

Manager, Data Engineering

Waystar, Inc

Atlanta, GA • On-site

$120 - $150/hr

Other

Medical, Retirement, PTO

Posted 28 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 DOTeam 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 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.

Waystar provides cloud-based technology that simplifies and unifies healthcare payments. Together, our technology, data and client support streamline workflows and improve financials for our clients, so that they can focus on their patients. 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 and fun.

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