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

Data Architect

Austin, TX · On-site +1

$63.25 - $81.25/hr

Relocation is not required. Clarkston Consulting is seeking motivated, self-driven leaders who are ... Mentor junior Data Architects and Data Engineers on Clarkston's analytics team * Assist in defining ...

You will work with data scientists, engineers, product teams, and subject-matter experts to explore ... Comprehensive support for international relocations and permanent residency processes. Equal ...

Analyze yield data and drive RCCA * PFMEA, DOE's and SPC is a plus. * Autocad and Solidworks is a ... Eligible for domestic relocation only Is Sponsorship Available? No Flex is an Equal Opportunity ...

In this role, you ll combine data engineering, advanced analytics, and modern BI tools to deliver ... Must be located in (or willing to relocate to) Temple or Austin, TX What You ll Do * Design, build ...

New

Analyze yield data and drive RCCA * PFMEA, DOE's and SPC is a plus. * Autocad and Solidworks is a ... Eligible for domestic relocation only Is Sponsorship Available? No Flex is an Equal Opportunity ...

Sr BI Engineer - Full-time

Austin, TX · On-site

$50.50 - $65.75/hr

Must be located in (or willing to relocate to) Temple, TX or Austin, TX Senior Business ... In this role, you ll combine data engineering, advanced analytics, and modern BI tools to deliver ...

New

Sr BI Engineer - Full-time

Austin, TX · Hybrid

$47.50 - $61.50/hr

Must be located in (or willing to relocate to) Temple, TX or Austin, TX Senior Business ... In this role, you'll combine data engineering, advanced analytics, and modern BI tools to deliver ...

New

Showing results 41-60

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

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

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 Science Manager - Strategic Data Solutions

Austin, TX • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$191K - $287K/yr

Full-time

Medical, Dental, Retirement

Re-posted 22 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 685 frontline employees who took The Breakroom Quiz


Job description

Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Apple’s Strategic Data Solutions team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You’ll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.
Description
• Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation
• Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization
• Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources
• Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale
• Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domains
Partner with cross-functional leaders to align analytics initiatives with strategic objectives
• Evangelize data science best practices and help embed a data-informed culture across teams
• Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
Preferred Qualifications
Experience with building robust monitoring systems to track data and model health in production
Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
Ability to connect insights to business outcomes and influence strategy
Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling
Passion for fostering inclusive team environments and valuing diverse perspectives
Clear communicator who can translate complex technical concepts into actionable business language
Minimum Qualifications
Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
2+ years of experience leading and mentoring data-focused teams
Proficiency in SQL and at least one programming language (e.g., Python, R)
Strong background in experimentation design, causal inference, and statistical analysis
Experience working with large-scale data pipelines and production-level analytics systems
Proven ability to drive measurable business impact through data and automation
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $191,300 and $287,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976