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Data Engineer Relocation Jobs in Austin, TX (NOW HIRING)

General Motors

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

Build and operationalize ML workflows for data preparation, feature engineering, model training ... This job may be eligible for relocation benefits. Compensation: * The expected base compensation ...

Infosys

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... relocation and/or travel to work/project location. • Candidates authorized to work for any ... Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ...

Voxelmaps

Data Processing Engineer

Austin, TX · On-site

$72K - $83K/yr

You must live in Austin, Texas or be willing to relocate - as we have business operations in these ... data engineering, or similar technical roles * Experience working with large datasets or data ...

Voxelmaps

Data Processing Engineer

Austin, TX · On-site

$72K - $83K/yr

You must live in Austin, Texas or be willing to relocate - as we have business operations in these ... data engineering, or similar technical roles * Experience working with large datasets or data ...

RXinsider LTD.

Senior Data Ops Developer

Austin, TX · On-site

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In ... Comprehensive support for international relocations and permanent residency processes. Equal ...

Epicor

Senior Data Ops Developer

Austin, TX · Hybrid

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In ... Comprehensive support for international relocations and permanent residency processes. Equal ...

Voxelmaps

Data Processing Engineer

Austin, TX · On-site

$72K - $83K/yr

You must live in Austin, Texas or be willing to relocate - as we have business operations in these ... data engineering, or similar technical roles * Experience working with large datasets or data ...

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Showing results 21-40

All JobsData Engineer Relocation JobsData Engineer Relocation Jobs in Austin, TX

Data Engineer Relocation information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do data engineer relocation jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data engineer relocation in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

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 Austin, TX?

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

What job categories do people searching Data Engineer Relocation jobs in Austin, TX look for?

The top searched job categories for Data Engineer Relocation jobs in Austin, TX are:

What cities near Austin, TX are hiring for Data Engineer Relocation jobs?

Cities near Austin, TX with the most Data Engineer Relocation job openings:

Data Engineer Relocation jobs near you
Infographic showing various Data Engineer Relocation job openings in Austin, TX as of September 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Senior Data Engineer

Austin, TX • On-site

General Motors
Transportation Equipment Manufacturing • 10K+ employees
Learn more about General Motorsexternal

$133K - $188K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

Based on 311 frontline employees who took The Breakroom Quiz

Job description

Job Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].
What You'll Do
  • Design and develop batch and streaming ETL/ELT pipelines in Azure Databricks to support ingestion, transformation, curation, and delivery of manufacturing and enterprise data.
  • Build reusable Bronze, Silver, and Gold data pipelines, data quality frameworks, and governed data products in Unity Catalog.
  • Build and operationalize ML workflows for data preparation, feature engineering, model training, evaluation, deployment, batch scoring, retraining, and inference.
  • Establish and maintain MLflow-based model lifecycle controls, including experiment tracking, model registration, versioning, lineage, traceability, and controlled promotion across environments.
  • Implement CI/CD pipelines for data products, ML code, workflows, and deployment bundles using Git-based development practices, automated testing, and release automation.
  • Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining, scoring, and downstream operational consumption.
  • Improve reliability, observability, and production readiness through testing, monitoring, validation, alerting, documentation, and automation that reduce deployment risk and manual intervention.
  • Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and business stakeholders to productionize scalable, supportable solutions aligned to production constraints.
  • Support modernization of legacy data and ML workflows into standardized cloud-native Databricks patterns and help bridge proof-of-concept work into repeatable production solutions.

Your Skills & Abilities (Required Qualifications)
  • 5+ years of relevant full-time experience; or equivalent knowledge
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience.
  • Strong proficiency in Scala, Python, SQL, Spark, and Databricks, with production-quality software engineering practices.
  • Strong experience building and supporting cloud-based ETL/ELT pipelines, data platforms, and pipeline orchestration patterns for both batch and streaming operations.
  • Experience deploying machine learning models into production environments and supporting model development through operational release.
  • Strong experience with Databricks jobs, workflows, repos, Unity Catalog, and MLflow-based experimentation and model lifecycle management.
  • Experience building CI/CD pipelines with Git-based workflows, automated testing, and deployment of data or ML products.
  • Strong troubleshooting, communication, and cross-functional collaboration skills.

What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Experience with DLT, structured streaming, Event Hub, Kafka, Scala, or Java in enterprise data pipeline environments.
  • Experience with model governance, lineage, reproducibility, monitoring, validation checks, and operational observability.
  • Experience designing resilient pipelines that can handle changing upstream data conditions, retraining needs, and production operations.
  • Experience with manufacturing, industrial IoT, plant-floor data, quality, or manufacturing analytics use cases.
  • Experience helping transition PoC or R&D solutions into scalable production-ready patterns.

This job may be eligible for relocation benefits.
Compensation:
  • The expected base compensation for this role is: $133,000 - $188,600. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-CC1
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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