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Remote Data Engineer Jobs in Cypress, TX (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Work closely with engineering teams, project managers, and other departments to understand their ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... Build MLOps pipelines for structured/unstructured data. * Implement observability, monitoring, and ...

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

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Remote Data Engineer information

See Cypress, TX salary details

$38.3K

$111.7K

$152.9K

How much do remote data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data engineer in Cypress, TX is $111,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $118,400.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

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

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

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

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

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

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

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

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

Infographic showing various Remote Data Engineer job openings in Cypress, TX as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $111,733 per year, or $53.7 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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