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Remote Data Engineering Jobs in Austin, TX (NOW HIRING)

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client's Data ... Work hours - US Eastern time office hours Our team Software Engineering Locations USA Remote status ...

TEXAS RESEARCH INTERNATIONAL INC

Cloud Data Engineer

Austin, TX · Remote

$55.25 - $73.75/hr

Open for Remote We are aggressively hiring Cloud Data Engineers with excellent background in Data Engineering and architecture. We need someone with strong Microsoft Cloud experience, including Azure ...

Loxo

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data ... Progressive culture * 100% flexibility in living and working from anywhere you want * 100% remote ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

This is a fully remote position. Face to face communication is important to us, so we have ... engineering * Strong SQL skills * Experience with ETL/ELT techniques * Strong sense for data ...

Neos Consulting

Data Architect

Austin, TX · On-site +1

$63.25 - $81.25/hr

REMOTE - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TEXAS WILL BE CONSIDERED*** No calls, no ... This position will collaborate closely with Data Engineering, DevOps, Data Modeling, Analytics, and ...

Togetherwork

Data Architect - Remote

Austin, TX · Remote

$63.25 - $81.25/hr

Data Architect Location: Remote Schedule: Full-time | Remote Work Authorization Notice: At this ... Collaborate with Product and Engineering to assess the architectural impact of platform ...

Ceribell, Inc

AI & Data Systems Engineer (Remote)

Austin, TX · On-site +1

$161K - $173K/yr

This role exists at the intersection of software development, data engineering, and DevOps as someone who is equally comfortable writing application code and managing the infrastructure those systems ...

RE/SPEC Inc.

Data Engineer (Contractor)

Austin, TX · On-site +1

$113K - $136K/yr

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... This opportunity is ideal for someone with a background in data engineering, ETL development, data ...

iA American Warranty Group, Inc.

Jr Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

This is a remote position with a preference to candidates in the Central and Eastern time zones. _____ Whatyou'llaccomplishwith us As a Junior Data Engineer,you'llbe at the core of our mission. Here ...

Cayuse Holdings

Data Engineer

Cedar Park, TX · On-site +1

$108K - $153K/yr

This role combines advanced data engineering, systems analysis, and technical leadership to enable reliable, scalable, and high-quality data solutions. The Data Engineer will: * Translate complex ...

Cayuse Holdings

Data Engineer

Cedar Park, TX · On-site +1

$108K - $153K/yr

This role combines advanced data engineering, systems analysis, and technical leadership to enable reliable, scalable, and high-quality data solutions. The Data Engineer will: * Translate complex ...

Huckberry

Data & Analytics Manager

Austin, TX · On-site +1

... remote hire Responsibilities * Own prioritization and project management for the data team ... Execute hands on data engineering work: building and maintaining ELT pipelines, data models, and ...

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Showing results 1-20

All JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Austin, TX

Remote Data Engineering information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do remote data engineering jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote data engineering in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Austin, TX? The most popular types of Data Engineering jobs in Austin, TX are:
What are popular job titles related to Remote Data Engineering jobs in Austin, TX? For Remote Data Engineering jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Austin, TX look for? The top searched job categories for Remote Data Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Data Engineering jobs? Cities near Austin, TX with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Austin, TX as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.
Senior Data Engineer, Data Platform

Senior Data Engineer, Data Platform

Virtasant

Austin, TX • On-site, Remote

$113K - $136K/yr

Full-time

Posted 3 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

Our team Software Engineering Locations USA Remote status Fully Remote

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