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Graduate Data Engineer Jobs (NOW HIRING)

Atonom

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

hireVouch

$94K - $113K/yr

Position Overview As a fresh graduate joining our team, you will work closely with senior data engineers and analysts to design, build, and maintain high-volume data pipelines. You will transform raw ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

The Data Engineer designs, builds, and maintains reliable data pipelines, models, dashboards, and ... Preferred graduate degree in Computer Science, Engineering, or Math * Preferred experience with ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

The Data Engineer designs, builds, and maintains reliable data pipelines, models, dashboards, and ... Preferred graduate degree in Computer Science, Engineering, or Math * Preferred experience with ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

The Data Engineer designs, builds, and maintains reliable data pipelines, models, dashboards, and ... Preferred graduate degree in Computer Science, Engineering, or Math * Preferred experience with ...

Apex Informatics

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... programming against large relational databases leveraging interoperable-linked, patient-level data ... Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, Statistics or related ...

fphny

Data Engineer

Astoria, NY · Hybrid

$130K - $135K/yr

... Graduate degree in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, or a similar field of study ...

Fund for Public Health in New York

Data Engineer

Queens, NY · On-site

$125K - $128K/yr

... Graduate degree in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, or a similar field of study ...

Breeze Airways

Data Engineer Staff

Charleston, WV

$106K - $127K/yr

Lead the Data Engineering team in designing and building solutions that support the "ilities ... Post-graduate degree in Computer Science or related field, or professional certifications Skills ...

Breeze Airways

$180 - $260/hr

Lead the Data Engineering team in designing and building solutions that support the "ilities ... Post-graduate degree in Computer Science or related field, or professional certifications * Skills ...

Optimum

Intern - Data Engineer

Long Island City, NY

$35/hr

Graduate degree in related field, preferred * 1-2 Years minimum relevant working experience, preferred * Intermediate SQL programming skills, including working with relational databases, data ...

Optimum

Intern - Data Engineer

Long Island City, NY · On-site

$35/hr

Graduate degree in related field, preferred * 1-2 Years minimum relevant working experience, preferred * Intermediate SQL programming skills, including working with relational databases, data ...

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Graduate Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do graduate data engineer jobs pay per year?

As of Sep 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 is a graduate data engineer?

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.

What does a graduate data engineer do?

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 are the key skills and qualifications needed to thrive as a graduate data engineer?

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.

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Graduate Data Engineer jobs near you
Infographic showing various Graduate Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Atonom

Provo, UT • On-site

$50K - $90K/yr

Full-time

Medical, PTO

Re-posted 11 days ago

Job description

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 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
  • Build and maintain data integrations that power AI Cloud Employees for customers, connecting systems, mapping fields, and helping ensure data quality.
  • Join client calls to understand data environments, source systems, and business requirements, then help translate them into working data flows.
  • Troubleshoot data pipeline and integration issues with support from senior engineers. Trace data through systems and work toward solutions.
  • Document data architectures, integration patterns, and technical playbooks for the implementation team.
  • Share product feedback with Engineering and Product teams, including data handling limitations, schema gaps, and integration pain points.

WHO YOU ARE
  • Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.
  • Comfortable getting into the weeds with data. You've written queries, worked with APIs, or built something that involved moving data from one place to another.
  • Interested in LLMs and prompt engineering. You don't need to be an expert, but you understand the basics of how AI models consume and produce data.
  • A clear communicator who can explain data workflows and technical decisions to both engineers and non-technical clients.
  • 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