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Full Time Data Engineering Jobs in Austin, TX (NOW HIRING)

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

Work cross-functionally with data engineering, product, and DevOps teams to define requirements and ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

ZipRecruiter

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

Work cross-functionally with data engineering, product, and DevOps teams to define requirements and ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

... build feature engineering workflows, and collaborate with Solution Architects, Data Engineers ... The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

... build feature engineering workflows, and collaborate with Solution Architects, Data Engineers ... The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

You will design and implement ETL/ELT pipelines, build feature engineering workflows, and ... The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

... engineering * Strong SQL skills * Experience with ETL/ELT techniques * Strong sense for data ... Employment Type: FULL_TIME

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Showing results 1-20

All JobsData Engineering JobsFull Time Data Engineering JobsFull Time Data Engineering Jobs in Austin, TX

Full Time Data Engineering information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do full time data engineering jobs pay per year?

As of Sep 3, 2026, the average yearly pay for full time 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.

What is a full time data engineer?

Full time data engineering jobs involve building, managing, and optimizing data pipelines and infrastructure to collect, process, and store large volumes of data for organizations. Data engineers work with technologies like SQL, Python, cloud platforms, and big data tools to ensure data is reliable and accessible for analytics and business decision-making. These roles typically require strong programming skills, knowledge of database systems, and experience with data modeling and ETL (Extract, Transform, Load) processes. Full time positions generally offer benefits and require a standard workweek commitment, often in tech, finance, healthcare, or other data-driven industries.

What are the key skills and qualifications needed to thrive as a full time data engineer?

To thrive as a Full Time Data Engineer, you need strong programming skills (such as Python or Java), proficiency in SQL, and a solid understanding of data modeling and ETL processes, usually supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., Google Cloud Data Engineer) is highly valuable. Excellent problem-solving, communication, and teamwork abilities distinguish top performers in this role. These skills ensure efficient data infrastructure development, reliable data pipelines, and effective collaboration with cross-functional teams to support business objectives.

What are some common challenges faced by full time data engineers, and how can they be addressed?

Full-time data engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for scalability and performance. These issues can be addressed by adopting robust ETL (Extract, Transform, Load) frameworks, implementing automated data validation tests, and collaborating closely with data analysts and software engineers to align on data requirements. Staying updated with the latest cloud technologies and best practices in data architecture also helps in overcoming these challenges and maintaining efficient, reliable data systems.

What is the difference between Full Time Data Engineering vs Part Time Data Engineering?

AspectFull Time Data EngineeringPart Time Data Engineering
Work HoursTypically 40 hours/weekLess than 20 hours/week
CredentialsRelevant degrees, certifications like AWS, GCP, or AzureSame as full-time, but often less emphasis on certifications
Work EnvironmentFull-time employment, often in corporate or tech firmsFreelance or contract basis, flexible locations
Job ResponsibilitiesDesigning, building, maintaining data pipelinesSupporting existing pipelines, smaller projects

Full Time Data Engineering involves a standard 40-hour workweek with comprehensive responsibilities in designing and maintaining data systems. Part Time Data Engineering offers flexible hours, often focusing on specific tasks or projects. Both roles require relevant technical skills and certifications, but full-time positions typically demand more extensive experience and commitment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making this a stable and growing career field.

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 cities near Austin, TX are hiring for Full Time Data Engineering jobs?

Cities near Austin, TX with the most Full Time Data Engineering job openings:

Full Time Data Engineering jobs near you

Technology 2027 Intern - Data Engineering

Charles Schwab

Austin, TX • On-site

Full-time, Internship

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Data Engineering Intern

Students interested in data engineering and analytics - apply to this role. Interns work alongside data professionals to support enterprise data platforms, data pipelines, data integration, and analytical solutions that drive business decisions. Participants gain exposure to designing scalable data solutions, data ingestion frameworks, and modern data engineering practices.

Data Engineering roles available in this track:

Data & Analytics

Data Scientist

Data Engineering / Business Intelligence

Data Protection & Attack Surface Management

AI Security

What you have

Required Qualifications

  • Currently enrolled in a bachelor's degree program and entering junior-level standing by internship start date.
  • Have not completed your bachelor's degree prior to the internship.
  • Able to commit to 40 hours per week during the 9-week Summer 2027 internship program.
  • Able to begin full-time employment between August 2027 and September 2028.
  • Authorized to work in the United States on a full-time basis without employer sponsorship.
  • Willing to relocate at personal expense if required.

Preferred Qualifications

  • Computer Science, Management Information Systems, or related discipline
  • Familiarity with programming concepts, databases, data science and data technologies
  • Interest in data analysis, data movement, ETL processes, and scalable data architecture

#campus


What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact.

Apply