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

Lead Data Engineer

Atlanta, GA · 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 ...

... 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 ...

... Data Management Professional - RiversandRiversand, Cloudera Certified Professional (CCP) Data ... Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation ...

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Proficiency in SQL and Python for analytics and engineering workflows * Deep understanding of CRM data structures, personalization logic, and campaign execution * Proven retail industry experience ...

New

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis. focusing on individual's professional development as well as overall team health and technical ...

Data Engineering Intern

Atlanta, GA · On-site

$31 - $45/hr

Headquartered in Charleston, South Carolina, Greystar manages and operates over $350 billion of ... SUMMARY As a Data Engineering Intern, you will gain hands-on experience ingesting data into big ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Manage and lead a technical team responsible for data engineering and analysis. • focusing on individual's professional development as well as overall team health and technical proficiency on their ...

Showing results 41-60

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 Sep 12, 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 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 Atlanta, GA?

The most popular types of Data Engineering jobs in Atlanta, GA 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 84% Full Time, 14% Part Time, 1% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $93,420 per year, or $44.9 per hour.

Lead Data Engineer

Atlanta, GA • On-site

$110K - $132K/yr

Other

Posted 11 days ago


Job description

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality rules, data storage etc.) using cutting edge AI solutions (Generative AI, Agentic AI, etc.). The candidate will need to possess strong technical, analytical, programming and critical thinking skills.

RESPONSIBILITIES
  • 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 including documenting AI solutions from concept to operationalization
  • Demonstrate and guide implementation of Infrastructure as code, automated testing and modern observability strategies
  • Responsible for growing an engineering culture of craftsmanship through mentoring, technical leadership as well as formal and informal presentations across data teams at Inspire
  • Work closely with Product owners/managers to understand the business needs
  • Collaborate with architects, data modelers and other team members to design Data and AI jobs to fulfill business needs
  • Lead sessions with data engineers and provide necessary guidance to solve technical challenges
  • Develop new and/or enhance existing data processes (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality)
  • Actively contribute towards setting up and refining data engineering best practices
  • Help data engineers adhere to coding standards, best practices, etc. and produce production deployable code that is robust, scalable and reusable
  • Document technical artifacts for data engineering solutions
  • Stay up-to-date with latest AI trends and integrate emerging technologies to drive improved system performance with balanced operational pragmatism
EDUCATION AND EXPERIENCE
  • 8+ years of experience in a data engineering role required
  • 5+ years of experience with advanced SQL queries, scripts, stored procedures, materialized views, and views
  • 5+ years of hands-on design and development experience in the data space specifically focused on ELT to load data and perform transformations in databases
  • 3+ years of experience with DevOps Models utilizing CI/CD tools
  • Experience in one of the cloud platforms like Azure, AWS, GCP is required, Azure specifically is preferred
  • Demonstrated hands on experience with Python is required
  • Snowflake experience a plus
REQUIRED KNOWLEDGE, SKILLS, OR ABILITIES
  • Strong ability to use analytical SQL functions
  • Ability to delivery AI/ML projects from POC to production and support leveraging GitHub Copilot, Azure OpenAI, AI Search, Temporal, Pydantic AI, etc
  • Strong expertise in LLMs building agents: open/closed-source models, advanced prompt engineering techniques, RAG, Agentic AI, document processing, vector/hybrid search, guardrails, observability & monitoring, and LLM evaluation
  • Ability to work hands-on in a Cloud environment of Azure Cloud Platform (ADLS, Blob)
  • Strong skills one of the ETL tools like Informatica, Talend, Azure Data Factory, and BI tools like Tableau preferred
  • Strong skills with orchestration tools like Apache Airflow
  • Expert ability to analyze data models
  • Strong skills performance tuning and scaling of services
  • Good interpersonal skills; comfort and competence in dealing with different teams within the organization
  • Skilled leveraging Agile practices and methodologies

This position is based in our Atlanta Support Center, with an expected on-site presence of 80%.

Inspire is a multi-brand restaurant company whose portfolio includes more than 33,300 Arby’s, Baskin-Robbins, Buffalo Wild Wings, Dunkin’, Jimmy John’s, and SONIC restaurants worldwide.

We’re made up of some of the world’s most iconic restaurant brands, but we’re much more than just a restaurant company.

We’re a team of hundreds of thousands who individually and collectively are changing the way people eat, drink, and gather around the table.

We know that food is much more than a staple—it’s an experience.

At Inspire, that’s our purpose: to ignite and nourish flavorful experiences.

Inspire is a multi-brand restaurant company whose portfolio includes more than 33,400 Arby’s, Baskin-Robbins, Buffalo Wild Wings, Dunkin’, Jimmy John’s, and SONIC restaurants across 55 global markets.

In an industry facing increasing disruption, our leaders saw an opportunity to build a restaurant company unlike any other – one that brings together differentiated yet complementary brands and aims to make them stronger than they would be on their own.

Found inherently in the purposes of our family of brands, we identified a common thread between our restaurants – the capacity to inspire.

From guest experience to career development to community well-being, Inspire plays a role in the lives of millions of people every day.

Our brands are diverse, distinctive, and fan favorites.

In a sense, you could say we seek those who provide something different than the norm.

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