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

Data Engineer

Houston, TX · On-site +1

$109K - $131K/yr

Remote candidates will not be considered. We do not Sponsor Visa's SUMMARY: MetroNational is ... We are seeking a skilled Data Visualization & Analytics Engineer to join our data management team.

The BIM Lead manages digital construction data, enforces model integrity, and drives the workflows ... Coordinate with architects, structural engineers, MEP engineers, civil engineers, and other ...

Azure Databricks Lead Engineer

Houston, TX · On-site +1

$97K - $128K/yr

This role is ideal for a hands-on data engineer who enjoys building scalable solutions directly in ... Lead migration efforts from legacy data platforms into Databricks-based solutions. * Refactor and ...

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

See Houston, TX salary details

$40.6K

$118.2K

$172.4K

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

As of Aug 12, 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 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 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 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 70% Full Time, 18% Part Time, and 12% Contract. Highlights an 6% In-person, and 94% Remote job distribution, with an average salary of $118,211 per year, or $56.8 per hour.

Data Engineer - Enterprise Data Engineering & Analytics

MD Anderson

Houston, TX • Remote

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

23rd of 887 rated healthcare providers


Job description

The University of Texas MD Anderson Cancer Center is seeking a Data Engineer to support the Enterprise Data Engineering & Analytics (EDEA) Department. Within Customer Support, this department manages and operationalizes critical data and analytics that drive digital business initiatives across the institution. The Data Engineer assists with gathering business requirements, supporting end-to-end solution delivery, optimizing analytics delivery within the Context Engine Framework, and providing customer support for data and analytics consumers.

The Data Engineer collaborates with Principal and Senior Data Engineers and partners across the institution to improve data accessibility, support analytics production solutions, and promote effective use of enterprise data. The Data Engineer plays a key role in customer support, analytics operations, training, production support, and continuous improvement efforts. The ideal candidate has a preferred master's degree in Business Analytics, Computer Science, Information Technology, Data Science, or a related field, along with experience supporting end-to-end data solutions involving EMR data sources, Experience supporting clinical operational reporting and analytics initiatives, experience with Epic Cogito tools and reporting workflows.

Preferred certifications in Caboodle, Clarity, Ambulatory, Cadence, Cogito, or Inpatient are valued. Candidates should demonstrate strong technical problem-solving skills, customer service orientation, and the ability to support analytics consumers in a collaborative environment. Minimum $106,500 - Midpoint $133,000 - Maximum $159,500 Work Location: Remote 100% within Texas Why Us.

At UT MD Anderson, the Data Engineer contributes directly to advancing data-driven healthcare, analytics innovation, and enterprise-wide decision-making. This role offers the opportunity to work with modern data platforms, collaborate with multidisciplinary teams, support impactful institutional initiatives, and grow technical and leadership capabilities while benefiting from a flexible remote work environment within Texas. 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 solution delivery that increases information capabilities and realizes data value across the institution. Support data ingestion, ingress, egress, curation, pipeline development, data transformation, and data modeling activities within the Context Engine Framework. Integrate data governance processes that track data provenance, security, data quality, and ontology throughout the data lifecycle.

Support data visualization and insight generation through enterprise analytics solutions. Participate in the team support model for analytics security, change control, application database maintenance, and customer queue monitoring. Participate in scrum ceremonies and sprint activities supporting product owners and solution delivery initiatives.

Customer Support & Operational Support Participate in work intake activities and support EDEA requests aligned with organizational strategy and framework standards. Handle routine reporting requests and support analytics consumers across the institution. Troubleshoot incidents, break fixes, and production issues while coordinating with system technical support teams.

Respond to customer requests promptly and communicate procedures, expectations, delivery timelines, and status updates. Participate in after-hours application support and downtime procedures. Support issue resolution efforts and ensure service continuity of analytic solutions.

Standards, Testing & System Maintenance Adhere to IS division standard operating procedures and institutional policies supporting data governance and Context Engine standards. Participate in preparing documentation for enhancements, implementations, and new technologies. Follow documented change control processes and participate in change control audits as needed.

Perform quality control testing and review solutions developed by peers to ensure technical accuracy and quality. Assist with analytics system updates and new release activities for assigned modules. Support regulatory compliance, quality standards, best practices, and stakeholder collaboration efforts.

Education, Training & Customer Engagement Train data scientists, data analysts, end users, and data consumers on data pipelining and data preparation techniques. Assist in establishing training plans and curricula for systems within the Context Engine Tools suite. Develop training materials in partnership with the training team and system experts.

Provide institutional, departmental, and one-on-one training on EDEA deliverables. Support liaison relationships with customers and OneIS to provide effective technical solutions and service. OneIS Values & Collaboration Provide innovative, quality, and sustainable information technology solutions and services.

Promote trust, respect, support, integrity, and honesty with customers and colleagues. Build productive, collaborative, and trusted partnerships across teams and stakeholders. Demonstrate commitment to excellence, continuous improvement, usability, and value-driven outcomes.

Perform other duties as assigned. 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 with end-to-end solution delivery that includes the build-out of data sources of the EMR system, experience supporting clinical operational reporting and analytics initiatives, experience with Epic Cogito tools and reporting workflows.

Preferred Certifications: Caboodle, Clarity, Ambulatory, Cadence, Cogito, Inpatient 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 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: 182404 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 #LI-Remote Apply


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