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Data Engineer Relocation Jobs in Georgia (NOW HIRING)

Fabric Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Required Skill and Experience • Experience in Data Engineering or Analytics Engineering roles ... relocation and/or travel to work/project location. • Candidates authorized to work for any ...

... programming for Linux Practical knowledge in general Computer Science: data structures and ... Relocate? Rate: Availability: Phone #: Mobile#: LinkedIn ID: Email address: Visa type: Visa ...

... programming for Linux Practical knowledge in general Computer Science: data structures and ... Relocate? Rate: Availability: Phone #: Mobile#: LinkedIn ID: Email address: Visa type: Visa ...

Sr. Anlst, Data Science & Eng

Atlanta, GA · On-site +1

$82.70K - $104.30K/yr

General Information Job ID ATR62773 Posting Job Title Sr. Analyst, Data Science & Engineering Locations GA WFH Georgia Employment Type Full Time Date Posted 28-May-2026 Relocation Support No ...

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Data Engineer Relocation information

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 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 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:
Data Engineer - Purchasing Power (Open to Relocation | Hybrid - Atlanta, GA)

Data Engineer - Purchasing Power (Open to Relocation | Hybrid - Atlanta, GA)

Progressive Leasing

Atlanta, GA • Hybrid

$110.10K - $132.20K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Progressive Leasing rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With more than 20 years in FinTech, we've grown from start-up to industry leader by innovating, simplifying, and valuing people. We are a subsidiary of PROG Holdings (NYSE: PRG), a FinTech holding company with three business segments: Progressive Leasing, Purchasing Power (a leading employee purchase program for consumer products and services using payroll deduction), and Four, a Buy Now Pay Later (BNPL) platform.

Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a FinTech holding company with more than 20 years of experience, we're focused on building simple, responsible financial solutions that put people first. PROG Holdings' portfolio includes Progressive Leasing, a market leader in leasetoown solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform - all united by a commitment to innovation, access, and meaningful impact.

We're looking for aData Engineerto support the development and operation of our enterprise data platform. This role is highly tactical and executionfocused, contributing directly to the reliability, scalability, and performance of our AWSbased data ecosystem.

This is a hybrid role that requires inoffice presence in Atlanta, Georgia (Open to Relocating).

You'll work closely with the Senior Director of Data Engineering and platform team to design, build, and maintain streaming and batch data pipelines, supporting realtime ingestion, transformation, and delivery into analytics and reporting systems. This is a great opportunity for someone who enjoys working in distributed systems and wants to have a direct impact on how data is delivered across the business.

WHAT YOU'LL WORK ON

Data Pipeline Development

  • Develop and maintain streaming and batch data pipelines using Kafka, Spark, and related technologies

  • Implement ingestion pipelines using Kafka Connect and CDC patterns

  • Build transformation and enrichment processes using Spark and PySpark

  • Ensure reliable data delivery to downstream platforms including Greenplum, Elastic, S3, and analytics tools

Streaming Platform Support

  • Support Kafka topic configuration, partitioning strategies, and consumer group management

  • Assist with schema registration and schema evolution practices

  • Troubleshoot streaming pipeline issues and optimize performance

  • Help maintain data integrity and reliability across distributed systems

Data Processing & Transformation

  • Implement business logic and transformations within Spark processing frameworks

  • Develop and maintain Airflow DAGs (or equivalent orchestration workflows)

  • Build lookup and enrichment logic for streaming and batch pipelines

  • Ensure data quality through validation, monitoring, and alerting practices

Platform Operations

  • Monitor pipeline performance, failures, and data latency

  • Assist with observability and monitoring using tools such as Elastic and Kibana

  • Support incident resolution and rootcause analysis for data pipeline issues

  • Contribute to system performance tuning and platform optimization

Collaboration

  • Work closely with the Data Engineering Manager to implement platform architecture

  • Partner with analytics and reporting teams to support BI and data delivery needs

  • Assist with evolving platform integrations and modernization initiatives

WHAT YOU BRING

  • 3-5+ years of experience in data engineering or distributed data systems

  • Handson experience building and maintaining pipelines using Spark / PySpark

  • Experience working with Kafka or other streaming platforms

  • Strong SQL skills and experience with data transformation

  • Experience with data orchestration tools such as Apache Airflow

  • Familiarity with AWSbased data environments

  • Strong troubleshooting and debugging skills for data pipelines

  • Curiosity, adaptability, and comfort working in evolving technical environments

  • AIenabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.

WHY THIS ROLE IS UNIQUE

  • We act with intensity, urgency, and a passion for supporting our customers and growing our business

  • We hold ourselves accountable and approach challenges with a positive, "cando" mindset

  • We deliver as one team, working with integrity, trust, transparency, and respect

  • We believe diversity, authenticity, and curiosity make us better and fuel innovation

  • We continuously ask: Is there a better way?

WHAT WE OFFER

  • Hybrid work model (Atlantabased)

  • Comprehensive benefits: medical, dental, vision, companypaid Basic Life & AD&D

  • 401(k) Retirement Plan

  • Flexible Paid Time Off

  • Career Development opportunities

  • Employee Purchase Program

Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.