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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 ...

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 ...

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 · On-site

$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 ...

SpyCloud

Senior Data Engineer

Austin, TX · On-site

$144K - $187K/yr

Work with Product and Engineering teams to ensure data solutions meet product requirements ... S.-Based Benefits + Perks (for Full Time Employees): At SpyCloud, we are committed to working ...

SpyCloud

Senior Data Engineer

Austin, TX · On-site +1

$144K - $187K/yr

Work with Product and Engineering teams to ensure data solutions meet product requirements ... S.-Based Benefits + Perks (for Full Time Employees): At SpyCloud, we are committed to working ...

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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 Jul 31, 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.

Is there a high demand for data engineers?

Data engineering is a highly sought-after role due to the increasing reliance on data-driven decision making across industries. The demand for skilled data engineers with expertise in tools like SQL, Python, and cloud platforms continues to grow, leading to strong job prospects and competitive salaries.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, and leadership responsibilities in data infrastructure projects.

What are the key skills and qualifications needed to thrive as a Full Time Data Engineer, and why are they important?

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 full time data engineering jobs?

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 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.

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 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

Data Engineering Manager, OTS - Data ANCHOR Team

Amazon

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,025 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Join the OTS Data ANCHOR team to build strategic analytics powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global customer commitment. You'll work at the intersection of large-scale data processing and real-world operational impact, creating intelligence that directly influences how Amazon fulfills millions of orders.
As a Data Engineering Manager, you'll lead one of our core teams responsible for transforming operational data into actionable insights and building mission-critical data products that power worldwide operations business decisions across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus

In this role, you'll drive technical excellence while building and mentoring a high-performing team of business intelligence engineers and data engineers, architecting scalable solutions that process enormous amounts of data daily. We expect you to bring strong technical acumen combined with strategic thinking to solve complex problems at scale, while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains to enable our teams to support IT operations globally.
Key job responsibilities
- Delivery of robust, scalable data solutions supporting OTS data infrastructure.
- Leadership in data governance and quality standards.
- Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.
- Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.
- Collaborate with Program Managers, BI teams, and stakeholders to prioritize work aligned with OTS business goals.
- Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
- Drive team growth through mentoring, coaching, and career development.
A day in the life
Amazon Benefits:
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment

The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3.

Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you. At Amazon, we value people with unique backgrounds, experiences, and skill sets.

If you're passionate about this role and want to make an impact on a global scale, please apply!

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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