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Director Data Engineer Jobs in Georgia (NOW HIRING)

Lead Online Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... Direct Manager/Direct Reports: * This position reports to the Senior Manager or Above * This ...

Online Senior Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... Direct Manager/Direct Reports: * This Position typically reports to Manager or Above. * This role ...

Project Director - Data Center Construction Verrus are partnered with a leading contractor, seeking ... Bachelor's degree in Engineering, Construction Project Management, Business Administration, or ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Data Engineer II

Atlanta, GA · On-site

$110K - $132K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Communicate regularly with Engagement Managers (Directors), project team members, and ...

Data Engineer II

Atlanta, GA

$110K - $132K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Communicate regularly with Engagement Managers (Directors), project team members, and ...

Principal Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Principal Data Engineer with GREENSKY MANAGEMENT COMPANY LLC in Atlanta, GA. Applicant may work ... Direct experience with ETL tools including Talend. Working in agile teams and collaborating with ...

Microsoft Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Scholarship opportunities for employees and direct family members * Employee Assistance Program ... Qualifications Required * 2-5 years of data engineering experience * Strong SQL, data modeling, and ...

Microsoft Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Scholarship opportunities for employees and direct family members * Employee Assistance Program ... Qualifications Required * 2-5 years of data engineering experience * Strong SQL, data modeling, and ...

Showing results 41-60

Director Data Engineer information

See Georgia salary details

$43.5K

$124.5K

$166.3K

How much do director data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director data engineer in Georgia is $124,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $165,500.00 per year, depending on experience, location, and employer.

What does a director data engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.

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

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

How does a director data engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

How much does a director data engineer make in the US?

A director data engineer in the US typically earns between $130,000 and $180,000 annually, with salaries varying based on experience, location, and company size. They often oversee data teams, manage large-scale data infrastructure, and require expertise in tools like SQL, Python, and cloud platforms.

What are the most commonly searched types of Data Engineer jobs in Georgia?

The most popular types of Data Engineer jobs in Georgia are:

What are popular job titles related to Director Data Engineer jobs in Georgia?

For Director Data Engineer jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Director Data Engineer jobs?

Cities in Georgia with the most Director Data Engineer job openings:

Infographic showing various Director Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,513 per year, or $59.9 per hour.

Lead Online Data Engineer

Home Depot

Atlanta, GA • On-site

$108K - $130K/yr

Full-time

Posted 13 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,496 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
Consistent with The Home Depot's commitment to openness and transparency, we are informing you that a qualified in-line successor is being considered for this position. However, all interested candidates are strongly encouraged to apply. No selection decision has been made, and the final decision will be based solely upon choosing the most qualified and suitable candidate for the position.
Online Data Engineer teams at The Home Depot translate business requirements and build the infrastructure needed to capture customer, financial, or operational data. They acquire datasets that align with business needs and develop algorithms to transform data into useful, actionable information. Additionally, they build, test, and maintain database pipeline architectures. They create new data validation methods and data analysis tools. Data Engineers develop application programming interfaces (APIs) to retrieve data. Our Data Engineers develop, host, and maintain in-house enterprise solutions to improve reliability and confidence through monitoring, continually testing, and validating the products we support. These associates use big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
The Lead Online Data Engineer position operates as a functional / technical expert in the discipline, and is responsible for the establishment of best practices for sustainable data solutions. In addition, they act as a formal mentor to guide the engineers / senior engineers in development of their solutions and providing overall technical guidance and oversight to ensure the solution meets the needs of the organization and does not pose risk or undue harm.
Key Responsibilities:
  • 20% - Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.
  • 25% - Project Management & Team Support - Lead and manage large and complex projects and teams; Provide direction on prioritization of work and ensure quality of work; Collaborate with managers and team in the distribution of workload and resources; Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics; Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics; Ensure the team comprehends and applies the established processes and standards and mentor team on development.
  • 30% - Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Develops solutions to transform data into useful, actionable information.
  • 25% - Technical Exploration & Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Provide technical education on advanced analytics to analytics community; Drive analytics teams to get matured in predictive and prescriptive analytics.

Direct Manager/Direct Reports:
  • This position reports to the Senior Manager or Above
  • This position has 0 direct reports

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be 18 years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Bachelors or Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, Management, etc.) or relevant work experience
  • Ability to stich and maintain data from multiple sources
  • Ability to use JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose)
  • Ability to produce tags for site data
  • Ability to code in Python, Google BigQuery to stitch and enrich the raw data from multiple sources
  • Ability to use PySpark, AirFlow, and DataProc to engineer and automate data flows pipelines
  • Ability to optimize the pipelines run time and lower the cost on slots/storage consumption
  • Ability to prioritize requests and manage a product roadmap
  • Demonstrated expertise of how to model and mine data
  • Demonstrated expertise of how to build and maintain data pipelines
  • Demonstrated knowledge of the business to support future data needs and proactive data management

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.

Minimum Years of Work Experience:
  • 5

Preferred Years of Work Experience:
  • 6

Minimum Leadership Experience:
  • No previous leadership experience

Preferred Leadership Experience:
  • No previous leadership experience

Certifications:
  • None

Competencies:
  • Action Oriented
  • Collaborates
  • Communicates Effectively
  • Customer Focus
  • Develops Talent
  • Drives Engagement
  • Drives Results
  • Manages Conflict

What Home Depot employees say

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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