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Remote Data Engineer Jobs in Texas (NOW HIRING)

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client\'s Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client\'s Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Data Engineer

Dallas, TX · On-site +1

$115K - $130K/yr

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking for a Data Engineer to take significant ownership in building Monte Carlo's cloud service, data pipelines and ML platform. The role will involve end-to-end development: from helping ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Senior Data Engineer

Austin, TX · On-site +1

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Sr. Data Engineer

Dallas, TX · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local to INDIA are eligible. *No visa Sponsorship Primary Responsibilities: * Design, develop, and ...

Principal Data Engineer

Westlake, TX · On-site +1

$109K - $132K/yr

Designs, develops, and implements scalable data engineering, analytics and reporting solutions to support business needs. Builds robust data infrastructure and reporting platforms, using Oracle SQL ...

Data Engineer II

Dallas, TX · On-site +1

$113K - $136K/yr

Lantern is looking for a Data Engineer II to join our Data Engineering team. The ideal candidate will have solid experience building data pipelines, working with batch processing frameworks, and ...

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Integrate data engineering workflows with existing software systems and platforms. * Monitoring and ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Senior Data Engineer

Dallas, TX · On-site +1

$104K - $142K/yr

Senior Data Engineer Location: Dallas, TX or Mountain View, CA Duration: Long Term Contract As part of the Mail Analytics Data Engineering team, you will be working on large-scale batch pipelines ...

Sr. Data Engineer

Irving, TX · On-site +1

$141K - $184K/yr

McKesson Corporation POSITION: Sr. Data Engineer LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Assist and lead the design, development, and maintenance of scalable, high-performance ...

Sr. Data Engineer

Irving, TX · On-site +1

$141K - $184K/yr

McKesson Corporation POSITION: Sr. Data Engineer LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Assist and lead the design, development, and maintenance of scalable, high-performance ...

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Showing results 1-20

Remote Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do remote data engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for remote data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
What are the most commonly searched types of Data Engineer jobs in Texas? The most popular types of Data Engineer jobs in Texas are:
What cities in Texas are hiring for Remote Data Engineer jobs? Cities in Texas with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Senior Data Engineer, Data Platform

Senior Data Engineer, Data Platform

Virtasant

Austin, TX • Remote

$113K - $136K/yr

Full-time

Posted 10 days ago


Job description

About Virtasant

Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control.

Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.


About the role

We’re looking for a Senior Data Engineer to join us and work with our client\'s Data Platform team. Our client is a leading healthcare technology company, dedicated to transforming the patient and provider experience through innovative, data-driven solutions.

You will architect and build core services, automation tools, and integrations that power our client\'s data ecosystem. You’ll own high-impact platform components, improve pipeline reliability and observability, and partner closely with data engineering, analytics, and DevOps to advance the scalability and developer experience of our client\'s data platform.


For this role, we can only consider candidates located in contiguous US states.
Also, we are only able to consider candidates who are either US citizens, or Green Card Holders, or sole proprietors of their own LLC company. We are NOT able to consider candidates on any kind of visa that requires sponsorship, like STEM OPT, H4 EAD, F-1 OPT, L-2S, CPT, etc.
What You’ll Do


  • Build Automation & Tooling: Develop scalable backend services, APIs, and internal tools to automate data platform workflows (e.g., data onboarding, validation, pipeline orchestration, schema tracking, quality monitoring).

  • Data Platform Integration: Integrate tools with core data infrastructure, building pipelines (Airflow, Spark, dbt, Kafka, Snowflake, or similar) to expose capabilities via APIs and UIs.

  • Observability & Governance: Build visualization and monitoring components for data lineage, job health, and quality metrics.

  • Collaboration: Work cross-functionally with data engineering, product, and DevOps teams to define requirements and deliver end-to-end solutions.


What We’re Looking For
  • You have to live in the contiguous United States and have all the necessary documentation to work under an independent contractor agreement. We cannot offer sponsorships or sponsorship transfers, so unfortunately, we CANNOT consider candidates on H1B, OPT, EAD, or CPT visas.

Must-Have Experience
  • 7+ years of experience in data engineering or software development with at least 5 years building production-grade data or platform services

  • Strong programming skills in Python & SQL and at least one major data platform (Snowflake, BigQuery, Redshift, or similar)

  • Develop tooling for schema evolution, data contracts, and developer self-service

  • Deep experience with streaming, distributed compute, or S3-based table formats (Spark, Kafka, Iceberg/Delta/Hudi).

  • Experience with schema governance, metadata systems, and data quality frameworks.

  • Understanding of orchestration tools (Airflow, Dagster, Prefect, etc.)

  • Solid grasp of CI/CD and Docker

  • At least 2 years of experience in AWS

  • Experience with building data pipelines using dbt

Nice-to-haves
  • Experience with data observability, data catalog, or metadata management tools

  • Experience working with healthcare data (X12, FHIR)

  • Proven experience in data migration projects (legacy technologies to the latest technologies)

  • Experience building internal developer platforms or data portals

  • Understanding of authentication/authorization (OAuth2, JWT, SSO)


Our recruitment process

  • Recruiter interview (30 min)

  • Technical Interview (45 min)

  • Screening interview with the client\'s hiring manager (30 min)

  • Client technical interview (45 min)

We strive to move efficiently from step to step to make the recruitment process as fast as possible.

What we offer

  • Totally remote within the contiguous United States, full-time (40h/week)

  • Stable, long-term independent contract agreement

  • Work hours - US Eastern time office hours