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Remote Data Jobs in Austin, TX (NOW HIRING)

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 ...

Our growth is accelerating, our data volume is exploding, and our opportunities are multiplying faster than we can count them (don't worry, that's your job). If you want to build a modern data ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter* We are looking for a passionate Security Data Analyst/Python Developer to ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

This is a local or remote role supporting a hybrid workforce with an expected 40 hours per week. Our Stack: * Python * Linux * Databases: Elasticsearch, SQL, Databricks * AWS (EC2, RDS, SQS, S3 ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements • Minimum 4+ years of recent hands-on experience with Texas HHSC ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements Minimum 4+ years of recent hands-on experience with Texas HHSC Direct ...

Showing results 21-40

Remote Data information

See Austin, TX salary details

$45.6K

$163.6K

$241.4K

How much do remote data jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data in Austin, TX is $163,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $168,500.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

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

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

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

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

Infographic showing various Remote Data job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $163,567 per year, or $78.6 per hour.

Senior Data Engineer, Data Platform

Virtasant

Austin, TX • On-site, Remote

$113K - $136K/yr

Full-time

Re-posted 25 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