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

Quanex Building Products

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Candidates must also be local to Houston, as relocation will not be offered for this position. We ...

Quanex

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Candidates must also be local to Houston, as relocation will not be offered for this position. We ...

Quanex

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Candidates must also be local to Houston, as relocation will not be offered for this position. We ...

NextEra Energy

Sr Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Position Specific Description As a Senior Data Engineer, you will be responsible for designing ... Gexa Energy, LP Relocation Provided: No NextEra Energy is an Equal Opportunity Employer. Qualified ...

Quanex

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Candidates must also be local to Houston, as relocation will not be offered for this position. We ...

NextEra Energy

Sr Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Position Specific Description As a Senior Data Engineer, you will be responsible for designing ... Gexa Energy, LP Relocation Provided: No NextEra Energy is an Equal Opportunity Employer. Qualified ...

Sysco Corporation

Data Engineer Intern

Houston, TX · On-site

$14 - $18.50/hr

Relocation is not available. RESPONSIBILITIES * As an intern, you are exposed to relevant projects ... Having coursework or experience data and analytics models, architecture, data platform design and ...

Clarkston Consulting

Data Architect

Houston, TX · On-site +1

$61 - $78.25/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 ...

Chevron Corporation

AI Engineer

Houston, TX · On-site

$120 - $180/hr

The Data Foundation and Modernization Department accelerates AI and data capabilities and is ... Relocation Options: Relocation will not be considered. International Considerations: Expatriate ...

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

Data Engineer Relocation information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do data engineer relocation jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data engineer relocation in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 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 Houston, TX?

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

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

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

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

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

Data Engineer Relocation jobs near you
Infographic showing various Data Engineer Relocation job openings in Houston, TX as of July 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Data Architect, AI and Supply Chain Insights

Spring, TX • On-site

HP Development Company, L.P.
Construction of Buildings
Learn more about HP Development Company, L.P.external

$56.75 - $73/hr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 21 days ago

Job description

Data Architect, AI and Supply Chain Insights
Description -
Job Summary
We are seeking a Supply Chain Data Architect who combines strong data architecture expertise with a data product mindset. The role is responsible for owning and evolving a portfolio of Data Products, designing scalable and reusable data models, and ensuring data assets are trusted, governed, and optimized for reporting, analytics, Data Science, Machine Learning, and AI use cases.
The successful candidate will work closely with business stakeholders to understand processes, priorities, and opportunities, translating them into data strategies and architecture solutions that maximize business value and adoption.
A strong understanding of data engineering concepts is foundational and required, including how data is acquired, transformed, and delivered across modern data platforms. The primary focus of the role is on data architecture, data modeling, data product maturity, business engagement, and AI ready design.
Success is measured by the ability to create scalable, business ready data products that enable self service analytics, advanced insights, continuously leveraging the evolving AI technologies for our Supply Chain Stakeholder.
The ideal candidate combines deep expertise in data architecture and modeling with business acumen, critical thinking, problem solving and a passion for innovation. They partner with business leaders, Data Engineers, Data Scientists, Product Owners, and AI practitioners to transform complex business challenges into data driven solutions
Responsibilities
  • Own and evolve a portfolio of Supply Chain Data Products, ensuring they are certified, compliant, governed, and aligned to the latest Data Governance standards while maximizing business value and adoption.
  • Partner with business stakeholders to understand business processes, data domains, and analytical needs, translating requirements into data strategies, architecture roadmaps, and product enhancement plans.
  • Design and maintain scalable conceptual, logical, and physical data models, ensuring data assets are structured, documented, and optimized for reporting, analytics, AI, machine learning, and self service consumption.
  • Drive Data Product maturity through architecture best practices, data quality, metadata management, governance, master data management, and AI ready design principles.
  • Collaborate with Data Engineers, Data Scientists, Product Owners, and business leaders to deliver scalable data solutions, accelerate insight generation, and increase the value of enterprise data assets.
  • Evaluate and leverage emerging technologies, AI capabilities, and modern data practices to improve business outcomes, strengthen the data ecosystem, and promote architecture excellence across the organization through mentoring and thought leadership

Education & Experience
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or related field.
  • 8+ years of experience in Data Architecture, Data Modeling, Data Management, Analytics, or related disciplines.
  • Experience owning or supporting Data Products and enterprise scale data assets.
  • Experience working directly with business stakeholders and cross functional teams.
  • Experience supporting analytics, AI, machine learning, or data science initiatives.
  • Experience translating business capabilities and processes into scalable data models and architectures.

Required Skills
  • Data Architecture & Data Products
  • Data Architecture
  • Enterprise Data Modeling (Required)
  • Data Product Management & Lifecycle
  • Data Governance
  • Data Quality
  • Master & Reference Data Management
  • Metadata Management
  • Data Warehousing
  • Data Management
  • Data Strategy

Technology
  • SQL
  • Python
  • Databricks
  • Microsoft Fabric or Azure Data Services
  • Cloud Data Platforms
  • Data Catalog & Metadata Solutions

AI & Advanced Analytics
  • Artificial Intelligence
  • Generative AI
  • Machine Learning Concepts
  • Data Science Collaboration
  • AI Ready Data Design
  • Analytical Thinking

Business & Leadership
  • Business Process Analysis
  • Supply Chain Domain Knowledge
  • Strategic Thinking
  • Critical Thinking
  • Problem Solving
  • Stakeholder Management
  • Communication and Influence
  • Product Mindset
  • Leadership

Impact
This role helps enable the current and shape the future of the Supply Chain data ecosystem by ensuring data products are trusted, governed, scalable, and optimized for business consumption, advanced analytics, machine learning, and AI initiatives. Success in this role is measured not only by sound architecture, but by the ability to create highly reusable, business aligned data products that accelerate insights, enable self service analytics, and power next generation AI capabilities across the enterprise.
Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Salary:
The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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