ZipRecruiter

Log In

1

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

AT and T

Principal Data/AI Engineering

Atlanta, GA · On-site

$155K - $261K/yr

No relocation is offered. At AT&T, we empower leaders to drive change in a fast-evolving, connected ... As a Principal Data/AI Engineering your tasks may include, but are not limited to, the following:

AT&T

Principal Data/AI Engineering

Alpharetta, GA · On-site

$155K - $261K/yr

No relocation is offered. At AT&T, we empower leaders to drive change in a fast-evolving, connected ... As a Principal Data/AI Engineering your tasks may include, but are not limited to, the following:

AT&T

Principal Data/AI Engineering

Atlanta, GA · On-site

$155K - $261K/yr

No relocation is offered. At AT&T, we empower leaders to drive change in a fast-evolving, connected ... As a Principal Data/AI Engineering your tasks may include, but are not limited to, the following:

Mondo

Principal Engineer, SFMC

Atlanta, GA · Hybrid

... relocation assistance up to $20,000; additional benefits Visa Sponsorship: Not eligible for visa ... Establish and maintain best practices for data hygiene, synchronization, and governance across ...

Mondo

Principal Engineer, SFMC

Atlanta, GA · On-site

... relocation assistance up to $20,000; additional benefits Visa Sponsorship: Not eligible for visa ... Establish and maintain best practices for data hygiene, synchronization, and governance across ...

next page

Showing results 1-20

All JobsData Engineer Relocation JobsData Engineer Relocation Jobs in Atlanta, GA

Data Engineer Relocation information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do data engineer relocation jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data engineer relocation in Atlanta, GA is $124,743.00, 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 are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is a Data Engineer Relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.
What are popular job titles related to Data Engineer Relocation jobs in Atlanta, GA? For Data Engineer Relocation jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Relocation jobs in Atlanta, GA look for? The top searched job categories for Data Engineer Relocation jobs in Atlanta, GA are:
Data Engineer Relocation jobs near you
Principal Data/AI Engineering

Principal Data/AI Engineering

AT and T

Atlanta, GA • On-site

$155K - $261K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

AT&T rating

7.3

Company rating: 7.3 out of 10

Based on 724 frontline employees who took The Breakroom Quiz

47th of 83 rated telecommunications companies

Job description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.
As a Principal Data/AI Engineering your tasks may include, but are not limited to, the following:
Architect, develop, and optimize scalable, high-performance solutions using advanced software engineering methodologies and cutting-edge Data & AI technologies, transforming complex data into actionable insights that drive informed decision-making and business growth through collaborative efforts with diverse teams.
An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues.
Key Responsibilities:
• Design, Development, Testing, and Deployment: Lead the creation of scalable Data & AI applications using best practices in software engineering such as automation, version control, and CI/CD. Develop and implement rigorous testing strategies to ensure application reliability and performance. Oversee deployment processes, addressing issues related to configuration, environment, or security.
• Engineering and Analytics: Translate Data & AI use case requirements into effective data models and pipelines, ensuring data integrity through statistical quality procedures and advanced AI techniques.
• API & Microservice Development: Architect and build secure, scalable microservices and APIs, ensuring broad usability, security, and adherence to best practices in documentation and version control.
• Platform Scalability & Optimization: Evaluate and select optimal technologies for cloud and on-premises deployments, implementing strategies for scalability, performance monitoring, and cost optimization.
• Technologies: Demonstrate expertise with Data & AI technologies (e.g., Spark, Kafka, Databricks, Snowflake), programming languages (e.g., Java, Scala, Python, SQL), API development patterns (e.g., HTTP/REST, GraphQL), and cloud platforms (e.g., Azure, AWS, GCP).
Education:
  • Bachelor's degree (BS/BA) desired such as Computer Science or Scientific Computing.

Experience:
  • 7+ years of related experience.
  • Certification is required in some areas.
  • Strong Cross Functional Partnership,
  • Analytical & problem solver drives for results.
  • Data engineering skills, Databricks and Python, Azure

Supervisor Role:
  • No

Our Principal Data/AI Engineering earns between $155,400 - $261,100 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
  • AT&T internet (and fiber where available) and AT&T phone

Call to action
If you're ready to make an impact on our business and your career, bring your bold ideas to a world of possibility. Apply today!
Ready to join our team? Apply today!
Our Principal Data/AI Engineering jobs earn between $155,400.00 - $261,100.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:
40
Time Type:
Regular
Location:
Alpharetta, Georgia, Atlanta, Georgia, Dallas, Texas, Plano, Texas
Salary Range:
$155,400.00 - $261,100.00
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

What AT&T employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply