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Data Engineer Relocation Jobs in Georgia (NOW HIRING)

Relocation won't work Defines HR data requirements and validates Snowflake dataset designs across ... Java Developer on data integration design and API ingestion patterns. • Document data ...

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 ...

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 ...

New

No relocation is offered. Overall Purpose: This role will co-own critical AI deliverables for AT&T ... Coding Solutions, Algorithms and Feature Engineering: Create relevant features and conduct ...

New

Integrate and analyze data across multiple domains, including finance, engineering, operations ... Atlanta Travel Required: 00% - 25% Relocation Provided: No Job Posting End Date: July 15, 2026 Our ...

Data Tools Associate

Atlanta, GA · On-site

$56K - $57K/yr

This position requires relocation to the Atlanta, GA area and an in office work schedule. The Role ... Knowledge of and 6 months of experience (Internships Count!), working with programming languages ...

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Data Engineer Relocation information

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 cities in Georgia are hiring for Data Engineer Relocation jobs? Cities in Georgia with the most Data Engineer Relocation job openings:
IT - Technology Lead | Cloud Platform | Azure Development & Solution Architecting

IT - Technology Lead | Cloud Platform | Azure Development & Solution Architecting

Spruce Infotech

Atlanta, GA • On-site

$61 - $79.50/hr

Full-time

Re-posted 4 days ago


Job description

POC: Sam Chavez
ATTENTION ALL SUPPLIERS!!!
READ BEFORE SUBMITTING
• UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
• Limited to 1 submission per supplier. Please submit your best.
• We prioritize endorsing those with complete and accurate information
• Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
• Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
• Please submit profiles within the max proposed rate.
• Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.
MANDATORY: Please include in the resume the candidate's complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job Title: Technology Lead | Cloud Platform | Azure Development & Solution Architecting - Sr. Data Engineer
Work Location & Reporting Address: Atlanta, GA 30313 (Onsite. Will consider candidates willing to relocate to client's location)
Contract duration: 12
MAX VENDOR RATE: XXX per hour max
Target Start Date: 15 Jun 2026
Does this position require Visa independent candidates only? Yes
Must Have Skills:
• Pyspark
• Spark
• Azure Synapse
• Scala
• SQL
Nice to Have Skills:
• Java
• Python
Detailed Job Description:
• 8-10 Years of Total Experience with minimum 7-8 years of Experience in Data Engineering space on Scala & Spark, Pyspark + Azure Synapse+ Data Lake
• Design scalable Azure data architectures using ADLS, Azure Synapse for enterprise analytics using Spark framework.
• Strong hands-on experience with Azure Synapse Analytics, along with a good understanding or exposure to Microsoft Fabric
• Develop and manage data models across bronze, silver, gold layers to support reporting and analytics. Delta/Parquet file formats.
• Ensure performance, reliability, and security by optimizing jobs, monitoring pipelines, and enforcing governance.
• Deep understanding of Apache Spark architecture and distributed data processing concepts
• Proficient in Scala and Python
• Experience working with Azure Synapse. Experience with KQL to query Log Analytics.
• Working experience with source code repository like GIT/Azure Repos & build tools like Maven.
• Strong problem-solving skills and excellent communication skills.
• Lead and collaborate by mentoring engineers, driving best practices, and working with stakeholders end to end.
Minimum Years of Experience:
• 8-10 years
Certifications Needed:
• None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required?)
• Virtual
Any additional information you would like to share about the project specs/nature of work: