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Data Management Engineer Jobs in Atlanta, GA (NOW HIRING)

Lead Data Engineer

Sandy Springs, GA · On-site

$110K - $132K/yr

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 ...

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

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 ...

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 ...

... Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data Catalog Professional - Collibra Certified Ranger/Steward/Expert - SAP ...

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ... Test Environment Strategy and Management Support and contribute to enterprise test environment ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Work experience can include management experience or any functional expertise where proficiency is ... Data Engineering Lead (Marketing) • Microsoft Azure Cloud: Azure Data Factory, APIM, Function ...

Senior Data Engineer

Atlanta, GA · Hybrid

$100K - $136K/yr

Data Engineer Location: Atlanta, Georgia (Hybrid Remote- 2 days onsite/ 3 days remote) Job Type ... Design and manage data architecture and pipelines. * Deploy and maintain Elasticsearch clusters in ...

Data Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Mentor junior Data Architects and Data Engineers on Clarkston's analytics team * Assist in defining and managing client solutions How You'll Grow Beyond your day-to-day responsibilities, throughout ...

Atlanta, GA (Hybrid - Onsite Tuesday-Thursday, per manager's discretion) Job Type: Contract Start Date: November 17, 2025 End Date: June 30, 2026 Schedule: Full-time Job Overview We are seeking a ...

Work experience can include management experience or any functional expertise where proficiency is ... Data Engineering Lead (Marketing) • Microsoft Azure Cloud: Azure Data Factory, APIM, Function ...

Showing results 41-60

Data Management Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do data management engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data management engineer in Atlanta, GA is $124,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a data management engineer?

Data Management Engineers are professionals responsible for designing, implementing, and maintaining systems that manage and organize data within an organization. They ensure data is stored securely, is easily accessible, and meets quality standards. Their work often involves database management, data integration, data migration, and implementing data governance policies. These engineers collaborate with data analysts, data scientists, and IT teams to support business data needs and ensure data reliability.

How does a data management engineer typically interact with data scientists and analysts within an organization?

Data Management Engineers play a critical role in ensuring that data scientists and analysts have access to clean, reliable, and well-organized data. They collaborate closely with these teams to understand data requirements, build data pipelines, and implement data governance protocols. By facilitating efficient data access and resolving data quality issues, Data Management Engineers enable analytical teams to focus on extracting insights rather than handling data wrangling tasks. Regular communication and cross-functional meetings are common, fostering a collaborative environment aimed at maximizing data value across the organization.

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

To thrive as a Data Management Engineer, you need strong expertise in data modeling, database design, and data governance, typically supported by a degree in computer science or a related field. Familiarity with SQL, ETL tools, data warehousing platforms, and certifications like CDMP or AWS Certified Data Analytics are often required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills that set top performers apart. These skills and qualifications ensure data integrity, enable efficient data processing, and support the organization's ability to make data-driven decisions.

What is the difference between Data Management Engineer vs Data Analyst?

AspectData Management EngineerData Analyst
Primary FocusDesigning, implementing, and maintaining data systems and pipelinesAnalyzing data to generate insights and reports
Skills & CertificationsDatabase management, SQL, data warehousing, ETL toolsData visualization, statistical analysis, SQL, Excel
Work EnvironmentData engineering teams, IT departments, cloud platformsBusiness units, marketing, finance teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, sales, finance, business intelligence

While both roles work with data, Data Management Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to support decision-making. They often collaborate but serve different functions within organizations.

Is a data management engineer a high paying job?

Data management engineers typically earn competitive salaries due to their specialized skills in database systems, data architecture, and data governance. Compensation varies based on experience, location, and industry, but the role is generally considered well-paying within the tech and data fields.

What are popular job titles related to Data Management Engineer jobs in Atlanta, GA?

For Data Management Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Data Management Engineer jobs in Atlanta, GA look for?

The top searched job categories for Data Management Engineer jobs in Atlanta, GA are:

Infographic showing various Data Management Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $124,738 per year, or $60 per hour.

Lead Data Engineer

Inspire Brands, Inc.

Sandy Springs, GA • On-site

$110K - $132K/yr

Full-time

Posted 25 days ago


Inspire Brands rating

5.8

Company rating: 5.8 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

28th of 106 rated fast food restaurants


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 QUALIFICATIONS
  • 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.

What Inspire Brands employees say

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About Inspire Brands

Sourced by ZipRecruiter

Inspire Brands Inc., located in Atlanta, GA, United States, operates in the foodservice industry as a multi-brand restaurant company, making it among the biggest restaurant companies globally. Their portfolio includes well-known restaurant brands such as Arby's, Buffalo Wild Wings, Sonic, and Jimmy John's, reflecting their commitment to innovation and quality. Founded in 2018 as a result of a consolidation of various restaurant brands under one corporate umbrella, Inspire Brands was formed with a vision to invigorate excellent brands and supercharge their long-term growth.

Industry

Food services and drinking places

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

2018