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Graduate Data Engineer Jobs (NOW HIRING)

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also ...

Atonom

AI Data Engineer

Provo, UT · On-site

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · On-site

$105K - $125K/yr

Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred) * 2+ years of professional experience in data ...

Atonom

AI Data Engineer

Provo, UT

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also ...

Uasys

COSMOS - Data Engineer III

Little Rock, AR · On-site

$109K - $131K/yr

Current University of Arkansas System employees, including student employees and graduate ... The Project/Program Specialist (Data Engineer III) position is a full-time provisional with the ...

Uasys

COSMOS - Data Engineer III

Little Rock, AR · On-site

$109K - $131K/yr

Current University of Arkansas System employees, including student employees and graduate ... The Data Engineer III will collect, manage, and convert raw data into usable information for ...

Uasys

COSMOS - Data Engineer IV

Little Rock, AR · On-site

$109K - $131K/yr

Current University of Arkansas System employees, including student employees and graduate ... The Data Engineer IV will collect, manage, and convert raw data into usable information for ...

Uasys

COSMOS - Data Engineer IV

Little Rock, AR

$109K - $131K/yr

Current University of Arkansas System employees, including student employees and graduate ... The Project/Program Specialist (Data Engineer IV) position is a full-time provisional with the ...

Fielmann USA

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... in computer science, data engineering, information systems, or related field or equivalent ... high school graduate level • Able to sit or stand for extended periods of time • Able to ...

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Quantifind

AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

US Citizen * 4+ years of professional experience, including graduate or Ph.D. work if relevant ... Data Engineering: * Drive data discovery, open-source intelligence (OSINT) and related data ...

Quantifind

AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

US Citizen * 4+ years of professional experience, including graduate or Ph.D. work if relevant ... Data Engineering: * Drive data discovery, open-source intelligence (OSINT) and related data ...

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$104K - $125K/yr

Required : • High school graduate or equivalent. • College or technical school courses in one or more programming languages or data tools used at QuikTrip. • 3-5 years' experience in ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site

$109K - $148K/yr

Graduate degree in Computer Science or a similar field, or equivalent work experience * 3+ years working in Data Engineering or Data Warehousing * Experience with T-SQL, specifically Microsoft SQL ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Graduate degree in Computer Science or a similar field, or equivalent work experience * 3+ years working in Data Engineering or Data Warehousing * Experience with T-SQL, specifically Microsoft SQL ...

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All JobsGraduate Data Engineer Jobs

Graduate Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do graduate data engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for graduate data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Graduate Data Engineer position, and why are they important?

A Graduate Data Engineer typically requires a bachelor's degree in computer science, engineering, mathematics, or a related field, along with foundational knowledge of programming, data structures, and database concepts. Familiarity with technologies such as SQL, Python, cloud platforms (e.g., AWS, Azure), and modern data engineering tools like Apache Spark or Hadoop is often expected, and introductory certifications can provide an added advantage. Strong analytical thinking, problem-solving ability, effective communication, and eagerness to learn are valuable soft skills in this role. These skills and qualities are crucial for efficiently building, maintaining, and optimizing data pipelines that support business decision-making.

What are the typical daily tasks and responsibilities of a Graduate Data Engineer?

As a Graduate Data Engineer, your daily tasks may include building and maintaining data pipelines, assisting with data cleansing and transformation, and collaborating with data scientists and other engineers to deliver reliable datasets. You'll often work with structured and unstructured data, write scripts to automate data workflows, and help troubleshoot data integration issues as they arise. Throughout your work, you'll be expected to document processes and learn new tools or technologies as the team evolves. This role provides an excellent opportunity to develop hands-on technical skills while working closely with experienced professionals in a collaborative setting.

What is a Graduate Data Engineer job?

A Graduate Data Engineer is an entry-level role focused on designing, building, and maintaining data pipelines and infrastructure. They work with large datasets, ensuring data is collected, processed, and stored efficiently for analysis. Typically, they collaborate with data scientists, analysts, and other engineers to support data-driven decision-making. This role often involves using programming languages like Python or SQL, cloud platforms, and big data technologies. Graduate Data Engineers gain hands-on experience in data engineering principles and tools, helping organizations manage and optimize their data workflows.

More about Graduate Data Engineer jobs
What cities are hiring for Graduate Data Engineer jobs? Cities with the most Graduate Data Engineer job openings:
What are the most commonly searched types of Graduate Data Engineer jobs? The most popular types of Graduate Data Engineer jobs are:
What states have the most Graduate Data Engineer jobs? States with the most job openings for Graduate Data Engineer jobs include:
What job categories do people searching Graduate Data Engineer jobs look for? The top searched job categories for Graduate Data Engineer jobs are:
Graduate Data Engineer jobs near you
Infographic showing various Graduate Data Engineer job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 59% Full Time, 30% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI Data Engineer

Atonom

Provo, UT • On-site

$50K - $90K/yr

Full-time

Medical, PTO

Posted 8 days ago

Job description

AI Data Engineer
Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years
ABOUT ATONOM
Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.
THE ROLE
As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.
WHAT YOU'LL DO
  • Configure and deploy AI Cloud Employees for customers, with a focus on data integrations, API connections, and workflow logic.
  • Join client calls to understand data environments and help translate business needs into AI workflows, including prompt design, data mappings, and QA checks.
  • Troubleshoot data and integration issues with support from senior team members. Trace problems, find root causes, and work toward solutions.
  • Document data patterns, integration playbooks, and technical reference materials that help the whole team move faster.
  • Share product feedback with Engineering and Product teams, including data handling gaps, integration limitations, and customer pain points.

WHO YOU ARE
  • Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also welcome.
  • Comfortable working with data. Maybe you've written SQL queries, built a small pipeline, worked with APIs, or cleaned up messy datasets in a class or side project.
  • Interested in LLMs and prompt engineering. You don't need to be an expert, but you've explored how AI models work beyond surface-level usage.
  • A clear communicator who can walk non-technical teammates and clients through technical concepts without jargon.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS
  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)
  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN
  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS
  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.

Apply