1

Contract Graduate Data Engineer Jobs in Austin, TX

Graduate Hardware Engineer

Austin, TX · On-site

$122K - $161K/yr

We design advanced semiconductors and data center hardware that deliver the specialized processing ... This overview is not a contract or guarantee of benefits. Equal Opportunity and Accommodations ...

Graduate Hardware Engineer

Austin, TX · On-site

$122K - $161K/yr

We design advanced semiconductors and data center hardware that deliver the specialized processing ... This overview is not a contract or guarantee of benefits. Equal Opportunity and Accommodations ...

Graduate Engineer I

Austin, TX · On-site

$76K - $81K/yr

Graduate Engineer I Choose your location: Austin, TX Why you should join our team! Why Baxter ... Periodically conduct field investigations to verify site conditions and collect data. Attend on ...

Graduate Engineer I

Austin, TX · On-site +1

$76K - $81K/yr

Graduate Engineer I Choose your location: Austin, TX Why you should join our team! Why Baxter ... Periodically conduct field investigations to verify site conditions and collect data. Attend on ...

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

You'll work alongside senior engineers, data scientists, and data engineers - learning business ... contracts, and pipeline patterns that make data consumable by agents and ML models at scale ...

IT Data Scientist

Austin, TX · On-site

$100 - $130/hr

Added - 2 days ago IT Data Analyst 5 Information Technology Austin , Texas | Contract Or Related Information Technology Jobs Data Center Critical Facilities Engineer Liberty , NC Knowledge Management ...

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

You'll work alongside senior engineers, data scientists, and data engineers - learning business ... contracts, and pipeline patterns that make data consumable by agents and ML models at scale ...

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

You'll work alongside senior engineers, data scientists, and data engineers - learning business ... contracts, and pipeline patterns that make data consumable by agents and ML models at scale ...

Showing results 41-60

Contract Graduate Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do contract graduate data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for contract graduate data engineer 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 contract graduate data engineer?

Contract Graduate Data Engineers are early-career professionals who work on a temporary or project basis to help organizations manage, process, and analyze data. They typically have recently completed a degree in a relevant field, such as computer science, data science, or engineering. Their responsibilities may include building data pipelines, supporting data infrastructure, and working closely with data scientists and analysts. Contract roles allow graduates to gain hands-on experience, develop technical skills, and explore different industries while contributing to data-driven projects.

What are the typical responsibilities and learning opportunities for a contract graduate data engineer?

As a Contract Graduate Data Engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming datasets, and assisting with data integration projects. You will often collaborate closely with data scientists, analysts, and senior engineers, giving you exposure to best practices in data architecture and analytics. The contract nature of the role offers the chance to quickly gain experience across different tools and technologies, which can be valuable for career growth. While you may face challenges adapting to fast-paced project timelines, you'll also benefit from mentorship and hands-on learning opportunities in a supportive team environment.

What are the key skills and qualifications needed to thrive as a contract graduate data engineer, and why are they important?

To thrive as a Contract Graduate Data Engineer, you generally need a degree in computer science, mathematics, or a related field, as well as foundational knowledge in data structures, algorithms, and database management. Familiarity with programming languages like Python or SQL, experience with data processing tools such as Apache Spark, and knowledge of cloud platforms like AWS or Azure are commonly required. Strong problem-solving skills, effective communication, and adaptability are crucial soft skills for collaborating with teams and handling evolving project needs. These skills and qualities ensure accurate data handling, efficient workflow integration, and the ability to deliver valuable insights in dynamic contract-based environments.

What are popular job titles related to Contract Graduate Data Engineer jobs in Austin, TX?

For Contract Graduate Data Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Contract Graduate Data Engineer jobs in Austin, TX look for?

The top searched job categories for Contract Graduate Data Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Contract Graduate Data Engineer jobs?

Cities near Austin, TX with the most Contract Graduate Data Engineer job openings:

Infographic showing various Contract Graduate Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Machine Learning Engineer - Strategic Data Solutions

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 28 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that's constantly learning and having fun while solving tough business problems? We'd love to talk to you if you do!
At Apple, new ideas have a way of quickly becoming outstanding products, services, and customer experiences. Bring passion and dedication to your career, and there's no telling what you could accomplish! Strategic Data Solutions empowers internal partners and optimizes the customer experience by delivering data-driven solutions that mitigate fraud, improve security, and optimize efficiency. Our work touches all parts of Apple, from manufacturing to fulfillment to apps and services. The enormous scale and complexity of the problems and our data present exciting opportunities for pushing the limits of existing data science methods.
As a SDS Machine Learning Engineer, you will work with teams across Apple, using data analysis and predictive modeling techniques to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers.
Our commitment to you: We will provide challenging problems that will engage your curiosity. We will provide an organizational culture that values collaboration, problem-solving, and work-life balance. We will provide mentorship to further develop your technical and leadership skills.
Description
• Engage with stakeholders to translate ambiguous business problems into technical solutions, including finding opportunities, breaking them into solvable segments, defining requirements, assessing level of effort, etc
• Work cooperatively to design data science-driven solutions, balancing the utility of tried-and-true techniques and the benefits of custom solutions
• Collaborate with technical partners to implement robust real-time and batch decisioning in production
• Create reporting and monitor decisioning quality to maintain operational and business metric health
• Investigate trends, assess threat impact, and respond with agile logic changes
• Communicate with stakeholders with varying technical backgrounds and business priorities about your work
• Share what you're learning about novel technologies and methods (in data science, machine learning, data engineering, and software engineering, etc) to improve your team's overall technical capabilities
Minimum Qualifications
Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelor's degree with equivalent experience
At least 3 years of practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions
Practical experience with implementing data science-related applications in a programming language such as Python, Scala, or Java
Preferred Qualifications
Theoretical understanding of machine learning algorithms and their relative strengths and weaknesses
Ability to use a querying language such as SQL to extract insights from data
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact
Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions
Team-oriented skills and values to facilitate effective collaboration with business and technical partners

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976