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Remote Senior Data Engineer 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 ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Virtasant

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 ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

You'll work alongside a senior data engineer and collaborate across a small, high-output team to ... This is a fully remote position. Face to face communication is important to us, so we have ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that ...

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 ...

IQVIA

Senior Data Team Lead (Remote)

Austin, TX · Remote

$86K - $217K/yr

IQVIA is growing! Hiring multiple Senior Data Team Leads across our FSP (Functional Service ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

SpyCloud

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

You'll build the preprocessing and feature engineering pipelines your own models depend on, and you ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Pabst

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems team and help build the modern ... Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ...

Fliff

Senior Data Scientist

Austin, TX · Remote

The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function ... This role sits at the intersection of data engineering, modeling, and storytelling. You'll work ...

Fliff

Senior Data Scientist

Austin, TX · On-site +1

The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function ... This role sits at the intersection of data engineering, modeling, and storytelling. You'll work ...

Allied Tech

Senior Data Entry Specialist

Austin, TX · Remote

$46K - $57K/yr

Senior Data Entry Specialist A business runs better when information is accurate, organized, and up ... Fully remote position * Competitive health, dental, and vision insurance * 401(k) with up to 6% ...

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All JobsData Engineer JobsRemote Senior Data Engineer JobsRemote Senior Data Engineer Jobs in Austin, TX

Remote Senior Data Engineer information

See Austin, TX salary details

$80.3K

$125.2K

$173.5K

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

As of Aug 13, 2026, the average yearly pay for remote senior data engineer in Austin, TX is $125,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $142,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

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

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
What are the most commonly searched types of Senior Data Engineer jobs in Austin, TX? The most popular types of Senior Data Engineer jobs in Austin, TX are:
What are popular job titles related to Remote Senior Data Engineer jobs in Austin, TX? For Remote Senior Data Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Senior Data Engineer jobs in Austin, TX look for? The top searched job categories for Remote Senior Data Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Senior Data Engineer jobs? Cities near Austin, TX with the most Remote Senior Data Engineer job openings:
Remote Senior Data Engineer jobs near you
Infographic showing various Remote Senior Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $125,218 per year, or $60.2 per hour.

Senior Data Engineer, Data Platform

Virtasant

Austin, TX • On-site, Remote

$113K - $136K/yr

Full-time

Re-posted yesterday

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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