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Data Engineer Relocation Jobs in Georgia (NOW HIRING)

ML/AI Engineer

Alpharetta, GA · On-site

$150 - $200/hr

Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging ... Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary ...

Salesforce Cloud Engineer

Kennesaw, GA · On-site

$51.25 - $68/hr

... GA (relocation not available). This position will design, build, and scale a Customer Data Platform (CDP) that delivers a true Customer 360. This role will be responsible for data engineering ...

Senior Data Scientist

Atlanta, GA · On-site

$80 - $100/hr

S. as the position may involve relocation to various and unanticipated client site locations; any ... Bachelor's degree or foreign equivalent in Engineering (any), Data Analytics, or a related field ...

No relocation is offered Overall Purpose: Translate business problems into actionable insights through a comprehensive workflow involving coding, data extraction, cleansing, feature engineering ...

In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below ... relocation and/or travel to work/project location. • Candidates authorized to work for any ...

Software engineering and/or Data Engineering background, especially in one of the major clouds ... Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary ...

Software engineering and/or Data Engineering background, especially in one of the major clouds ... Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary ...

Showing results 41-60

Data Engineer Relocation information

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 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 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 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 popular job titles related to Data Engineer Relocation jobs in Georgia?

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

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

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

Salesforce Cloud Engineer

Yamaha Motor Corporation

Kennesaw, GA • On-site

$51.25 - $68/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 26 days ago


Job description

Yamaha has an opportunity for a Salesforce Cloud Engineer to join our Digital Transformation group in Kennesaw, GA (relocation not available). This position will design, build, and scale a Customer Data Platform (CDP) that delivers a true Customer 360. This role will be responsible for data engineering, analytics enablement, and growth strategy, powering cross-sell, CLV measurement, and propensity modeling across product lines.
(Note: Candidates must be authorized to work in the U.S. Visa sponsorship is not available)
What You'll Be Doing:
  • Architect and develop a Customer 360 using Salesforce Data 360 (formerly Data Cloud), integrating first-party and digital data (GA4, CRM, transactional, product usage).
  • Ensure data quality, governance, and compliance (PII handling, consent, privacy).
  • Translate business questions into data structures that support analytics, AI/ML, and activation.
  • Develops and deploys propensity models to support customer segmentation, targeting, and personalization initiatives
  • Design and maintain scalable data pipelines (batch and zero-copy) to ingest, unify, and activate customer data.
  • Build identity resolution and data harmonization models to support cross-product insights and personalization.
  • Partner with analytics, marketing, and product teams to enable cross-sell identification, CLV modeling, and propensity-to-buy use cases.
  • Contribute to CDP roadmap decisions and evaluate emerging data technologies.

What You Need to be Successful:
  • Bachelor's degree in Information Systems or a related field.
  • 7+ years of data engineering experience, including 5+ years with enterprise CDPs and 3+ years with Salesforce Data Cloud (or equivalent).
  • Strong expertise in SQL, cloud data warehouses (e.g., BigQuery), and building analytics- and activation-ready data pipelines using Python, dbt, and modern data platforms.
  • Experience with digital and behavioral data (e.g., GA4), identity resolution, customer data modeling, and enterprise-scale data integration.
  • Hands-on experience with APIs, ETL/ELT tools, and Salesforce Data Cloud ingestion, modeling, and governance.
  • Ability to design scalable data architectures independently while balancing technical best practices with business outcomes.

Don't meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. At Yamaha, we recognize that great talent comes in many forms. If you're excited about this role but don't check every box, we encourage you to apply-you may be the right fit for this or another opportunity with us.
What's in it for you:
  • 401(k) and Profit Sharing
  • Fertility Benefits
  • 37.5 hour work-week
  • Medical, Dental, Vision
  • Life and AD&D Insurance
  • Wellness Program
  • Short-Term Disability Coverage (for hourly roles)
  • Long-Term Disability
  • Student Debt Repayment Benefits
  • Ability to borrow Yamaha product

Reports to: Digital Marketing Campaign Manager
Yamaha Motor Corporation, USA is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability or any other status protected by federal, state, or local law. We celebrate diversity and are committed to creating an inclusive environment for all employees.