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Remote Lead Data Engineer Jobs in Houston, TX (NOW HIRING)

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Remote Duration: 04 months On W2 contract Job Summary Seeking an experienced Senior Data Engineer / AI Engineer to build and optimize ETL/ELT data pipelines using AWS, Snowflake, Snowflake Cortex AI ...

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Lead Energy Engineer

Houston, TX · On-site +1

$97K - $128K/yr

This remote position is based in Houston, TX with regional and local travel as needed ICF is a ... Experience analyzing utility interval (AMI) data, regression modeling, and energy savings ...

Lead Mechanical Engineer

Houston, TX · On-site +1

$105K - $127K/yr

... data centers, water and wastewater treatment facilities, power generation assets, mining and ... Some consideration will be made for fully remote candidates that meet and exceed our requirements ...

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Remote Lead Data Engineer information

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$40.6K

$118.2K

$172.4K

How much do remote lead data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote lead data engineer in Houston, TX is $118,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $128,900.00 per year, depending on experience, location, and employer.

What is a remote lead data engineer?

A Remote Lead Data Engineer is a senior-level professional responsible for designing, building, and maintaining large-scale data systems while working remotely. They oversee data engineering teams, establish best practices, and ensure data pipelines are efficient and reliable. This role combines hands-on technical tasks with leadership responsibilities, such as mentoring junior engineers and collaborating with other departments. Remote Lead Data Engineers must be adept at communication and project management to coordinate effectively with distributed teams.

What are the key skills and qualifications needed to thrive as a remote lead data engineer?

To thrive as a Remote Lead Data Engineer, you need advanced expertise in data architecture, ETL processes, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data frameworks (such as Spark or Hadoop), and relevant certifications are highly valued. Strong leadership, communication, and problem-solving skills help you effectively manage distributed teams and collaborate cross-functionally. These skills ensure robust data solutions, seamless team coordination, and the ability to deliver scalable analytics infrastructure remotely.

How does a remote lead data engineer typically collaborate with cross-functional teams while working remotely?

As a Remote Lead Data Engineer, collaboration with cross-functional teams—such as data scientists, analysts, product managers, and software engineers—is often facilitated through virtual meetings, project management tools, and shared documentation platforms. Effective communication is crucial, as you’ll be responsible for aligning data architecture with business goals and ensuring that stakeholders are regularly updated on project progress. Many organizations use agile methodologies to structure work, which means you’ll participate in regular stand-ups, sprint planning, and reviews with distributed teams. Building strong relationships and maintaining transparency are key to overcoming remote collaboration challenges and driving project success.

What are the most commonly searched types of Lead Data Engineer jobs in Houston, TX?

The most popular types of Lead Data Engineer jobs in Houston, TX are:

What are popular job titles related to Remote Lead Data Engineer jobs in Houston, TX?

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

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

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

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

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

Infographic showing various Remote Lead Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $118,211 per year, or $56.8 per hour.

Data Engineer - Enterprise Data Engineering & Analytics

Houston, TX • Remote


MD Anderson
Health Care and Social Assistance • 10K+ employees

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

14th of 895 rated healthcare providers

People enjoy working here

Good employer

Recommended by students


$106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Job description

The University of Texas MD Anderson Cancer Center is seeking a Data Engineer to join the Enterprise Data Engineering & Analytics Department. The Data Engineer plays a pivotal role in operationalizing critical data engineering and analytics initiatives that support digital business priorities. This position focuses on building and testing end-to-end solution delivery, including developing data pipelines within the Context Engine, while partnering across enterprise teams to deliver production-ready analytics for key stakeholders. The Data Engineer collaborates with Principal and Senior Data Engineers and Information Systems teams to enable integrated data solutions that drive faster access, reuse, and improved time-to-insight.
The Data Engineer contributes to a highly collaborative environment that advances enterprise-wide data capabilities through governance, innovation, and best practices. The Data Engineer ensures adherence to data governance, security, and metadata standards while enhancing scalable and reusable solutions across integrated platforms. The University of Texas MD Anderson Cancer Center is a leading institution focused on cancer care, research, education, and prevention, and UT MD Anderson continues to advance its mission through cutting-edge data and analytics solutions.
The ideal candidate will bring a Master's degree in Business Analytics, Computer Science, Information Technology, Data Science, or a related field, along with experience with Profisee Master Data Management (MDM) or similar MDM software, development and configuration. Strong SQL background with database modeling and scripting expertise. A Profisee certification is preferred. Candidates should demonstrate a collaborative mindset, technical proficiency, and the ability to support enterprise-level data initiatives.
Minimum $106,500 - Midpoint $133,000 - Maximum $159,500, Work Location: Remote only within Texas
Why Us?
Join UT MD Anderson in advancing data-driven innovation that directly supports groundbreaking cancer care, research, and education initiatives. As a Data Engineer, you will contribute to enterprise-level solutions that improve data accessibility and analytics capabilities while working alongside subject matter experts in a collaborative and mission-driven environment. This role offers opportunities for professional growth, exposure to modern tools and architectures, and the ability to influence meaningful outcomes through technology.
• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
• Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
• Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
• Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.
Responsibilities
Data Engineering - End-to-End Solution Delivery
• Participate in end-to-end solutions to increase information capabilities and realize data value
• Integrate data governance processes across ingestion, ingress, egress, curation, transformation, and modeling
• Support tracking of data provenance, security, quality, ontology, and visualization outputs
• Collaborate on planning, architecture, design, and build of enterprise data pipelines
• Contribute to existing pipelines managing data from acquisition through consumption
• Develop repeatable solution designs and standardized data models
• Build pipelines for profiling, cleansing, transforming, mastering, and validating data
• Monitor and improve data quality across the Context Engine
• Incorporate metadata management and governance into pipeline development
• Promote automation of repetitive integration and preparation tasks
Standards, Testing & System Maintenance
• Adhere to IS division procedures and UT MD Anderson policies and build standards
• Prepare and maintain documentation for enhancements and new technologies
• Follow change control processes and support audits as needed
• Perform quality control testing and review peer builds for technical accuracy
• Assist with system updates and new releases for assigned analytics modules
• Ensure compliance with regulatory requirements and quality standards
• Collaborate with internal and external stakeholders on system improvements
• Participate in after-hours support and downtime procedures
Education and Training
• Train data scientists, analysts, and end users in data pipeline and preparation techniques
• Assist in creating training plans for Context Engine tools
• Develop curriculum in partnership with system experts and training teams
• Deliver departmental and one-on-one training on analytics deliverables
• Support customer relationships and provide effective technical solutions
OneIS Principles
• Deliver innovative, sustainable IT solutions aligned with organizational goals
• Promote trust, respect, and collaboration with customers and team members
• Build productive partnerships across enterprise stakeholders
• Model commitment to excellence and continuous improvement
• Achieve outcomes that exceed expectations for usability and value
EDUCATION
  • Required: Bachelor's Degree
  • Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related.

WORK EXPERIENCE
  • Required: 2 years Clinical, relevant healthcare information technology, or relevant business experience. or
  • Required: With preferred degree, no experience required.
  • May substitute required education with years of related experience on a one to one basis.
  • Preferred: Experience building out MDM Solutions (Master Data Management), configuring and developing Profisee, strong SQL background including database modeling, scripting.

LICENSES AND CERTIFICATIONS
  • Required: EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic. within 180 Days
  • Preferred: Profisee certification.

The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
Additional Information
  • Requisition ID: 181258
  • Employment Status: Full-Time
  • Employee Status: Regular
  • Work Week: Days
  • Minimum Salary: US Dollar (USD) 106,500
  • Midpoint Salary: US Dollar (USD) 133,000
  • Maximum Salary : US Dollar (USD) 159,500
  • FLSA: exempt and not eligible for overtime pay
  • Fund Type: Hard
  • Work Location: Remote (within Texas only)
  • Pivotal Position: Yes
  • Referral Bonus Available?: Yes
  • Relocation Assistance Available?: Yes

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