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

Data Engineer - GCP

Atlanta, GA ยท On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

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

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 ... Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and ...

Manager MDM (Master Data Management)

Atlanta, GA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Lead/guide multiple technical data engineering team members * Lead by example - designing, building, maintaining and using of our platforms and services to manage data * Design, develop, deploy ...

Lead Data Engineer

Sandy Springs, GA ยท On-site

$113K - $136K/yr

Lead/guide multiple technical data engineering team members * Lead by example - designing, building, maintaining and using of our platforms and services to manage data * Design, develop, deploy ...

Lead Data Engineer

Sandy Springs, GA ยท On-site

$110K - $132K/yr

Lead/guide multiple technical data engineering team members * Lead by example - designing, building, maintaining and using of our platforms and services to manage data * Design, develop, deploy ...

Lead Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Lead/guide multiple technical data engineering team members * Lead by example - designing, building, maintaining and using of our platforms and services to manage data * Design, develop, deploy ...

Data Engineer IV

Atlanta, GA ยท On-site

$110K - $132K/yr

Manage data orchestration workflows (e.g., Airflow or equivalent) * Implement CI/CD and Git-based workflows for data pipelines AI-Assisted & Modern Engineering Practices * Leverage AI tools or ...

Data Engineer - Manager

Atlanta, GA ยท On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Data Engineer - Manager

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Data Engineering, Director

Atlanta, GA ยท On-site

  • Medical

  • Retirement

About this role We are seeking a Data Architect & Engineering Lead to drive the strategy and ... Infrastructure Management: Guide best practices for cloud infrastructure (Azure or AWS) and ...

Data Engineering, Director

Atlanta, GA ยท On-site

  • Medical

  • Retirement

About this role We are seeking a Data Architect & Engineering Lead to drive the strategy and ... Infrastructure Management: Guide best practices for cloud infrastructure (Azure or AWS) and ...

... database management, and data integration using Informatica and PL\/SQL . \n \n \n * Team ... Guide and mentor a team of engineers and developers, offering technical direction, support, and ...

Showing results 21-40

Manager Data Engineering information

See Atlanta, GA salary details

$29.8K

$93.4K

$165.4K

How much do manager data engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for manager data engineering in Atlanta, GA is $93,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $120,700.00 per year, depending on experience, location, and employer.

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 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.

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.

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

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

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

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

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

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

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

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

Infographic showing various Manager Data Engineering job openings in Atlanta, GA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $93,420 per year, or $44.9 per hour.

Data Engineer - GCP

The Data Sherpas

Atlanta, GA โ€ข On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted 7 days ago


Job description

Who We Are:
We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.
What We Are Looking For:
We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.
Responsibilities:
Data Pipeline Development and Management:
  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:
  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:
  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:
  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:
  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:
  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.

Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Hands-on experience with dbt.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.
  • Must be a U.S. Citizen or Green Card holder.

Preferred Skills:
  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).

What We Offer:
  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.

Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.
This position is open to direct candidates only. We are not working with third-party agencies.
Candidates must be U.S. Citizens or Green Card holders.