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

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

... remote sensing imagery, and libraries such as GDAL, rasterio, GeoPandas, or Shapely. * Data ... AWS - Depth across services such as Lambda, S3, ECS/Fargate, RDS, Batch, SQS/SNS, Step Functions ...

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

... remote sensing imagery, and libraries such as GDAL, rasterio, GeoPandas, or Shapely. * Data ... AWS -- Depth across services such as Lambda, S3, ECS/Fargate, RDS, Batch, SQS/SNS, Step Functions ...

Data Architect

Houston, TX · On-site +1

$61 - $78.25/hr

... AWS * Translate business goals and objectives into architectural strategies and technical solutions * Serve in a lead capacity on client initiatives * Mentor junior Data Architects and Data Engineers ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Experience with data engineering, APIs, and cloud platforms (ideally AWS) and containerization technologies (Docker) * Experience with enterprise software development lifecycle and tooling including ...

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Remote Aws Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

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

As of Aug 19, 2026, the average yearly pay for remote aws data engineer 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 remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

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

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.

How does a remote AWS data engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

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

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

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

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

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

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

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

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

Infographic showing various Remote Aws Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Data Engineer - Enterprise Data Engineering & Analytics

MD Anderson

Houston, TX • Remote

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

14th of 888 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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