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

Data Engineer, CIA-Core Engine

Austin, TX · On-site

$113K - $136K/yr

Join our Operations Technology Infrastructure Engineering team and help build the invisible ... The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and ...

Data Engineer, CIA-Core Engine

Austin, TX · On-site

$113K - $136K/yr

Join our Operations Technology Infrastructure Engineering team and help build the invisible ... The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and ...

Data Engineer, CIA-Core Engine

Austin, TX · On-site

$113K - $136K/yr

Join our Operations Technology Infrastructure Engineering team and help build the invisible ... The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and ...

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 ...

Data Processing Engineer

Austin, TX · On-site

$72K - $83K/yr

This is a full-time role with an immediate start date. Candidates are required to have strong ... data engineering, or similar technical roles * Experience working with large datasets or data ...

Showing results 21-40

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:

Data Engineer, CIA-Core Engine

Amazon

Austin, TX • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,146 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Join our Operations Technology Infrastructure Engineering team and help build the invisible scaffolding that powers Amazon's global network and device infrastructure. As a Data Engineer, you'll design and maintain large-scale data systems that enable thousands of Amazonians and guide operations across Amazon's fulfillment network worldwide.
As a Data Engineer on our team, you'll focus on developing and maintaining robust data pipelines that ingest information from diverse sources into our data lake. You'll work on implementing ETL processes that cleanse, transform, and enrich data to support analytical needs across the organization. Your day involves partnering with network engineering teams to grasp their data requirements, designing scalable solutions, and ensuring data quality through governance and security measures. You'll also monitor our data systems to identify and resolve issues promptly, keeping our infrastructure running smoothly. Beyond routine tasks, you'll participate in architectural discussions, evaluate data solutions proposed by peers, and contribute to evolving our data engineering practices as technologies and industry standards advance.
Key job responsibilities
- Develop and maintain data pipelines that ingest data from various sources into our data lake, implementing ETL processes to cleanse, transform, and enrich data for analytical purposes
- Design scalable data solutions focusing on performance, quality, and reliability while partnering with cross-functional teams to comprehend business requirements
- Implement data quality controls, metadata management, and data lineage tracking to ensure data integrity, compliance, and accessibility across the organization
- Establish data governance and security measures to protect delicate information and ensure compliance with regulatory requirements
- Monitor data infrastructure to identify and resolve issues promptly, maintaining high availability and reliability of our data systems
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. 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 skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
About the team
We are a team dedicated to delivering flexible, low-touch, cost-efficient infrastructure products by leveraging data, analytics, and automation. Our systems reach across all global core services and infrastructure within Operations Technology, enabling over 100,000 Amazonians and all Amazon fulfillment centers worldwide. We're building solutions that require minimal long-term maintenance while solving complex infrastructure challenges. When you join us, you'll work alongside network engineers, infrastructure specialists, and fellow data engineers who are dedicated to making our operations more efficient and scalable. Collectively, we're shaping the future of how Amazon's operations are supported through intelligent data systems.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Proficient in Python development
- Experience with big data technologies (Spark/Hadoop)
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually

What Amazon employees say

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Benefits

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Workplace

Get the full story on Breakroom


Amazon logo

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US