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Graduate Data Engineer Jobs (NOW HIRING)

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

Undergraduate or graduate degree in one of the following disciplines: Data Science, Computer ... or Engineering. * In lieu of degree: equivalent coursework that involved the development or ...

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Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$76K - $107K/yr

Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field is a plus. * Experience: 2+ years of experience in a Data Engineer role. * SQL ...

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

$90K - $125K/yr

Undergraduate or graduate degree in one of the following disciplines: Data Science, Computer ... or Engineering. * In lieu of degree: equivalent coursework that involved the development or ...

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 ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ

$76K - $121K/yr

Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field is a plus. * Experience: 2+ years of experience in a Data Engineer role. * SQL ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$76K - $121K/yr

Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field is a plus. * Experience: 2+ years of experience in a Data Engineer role. * SQL ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$76K - $107K/yr

Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field is a plus. * Experience: 2+ years of experience in a Data Engineer role. * SQL ...

Hp

Data Solutions - Data Engineer

Spring, TX · On-site

$130K - $205K/yr

Data Solutions - Data Engineer Description - Job Summary The Data Solutions - Data Engineer is ... Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information ...

Phenom People Pvt Ltd

Associate Data Engineer

Ambler, PA · Hybrid

$70K - $90K/yr

This is an excellent opportunity for a recent graduate to work on real-world data integration ... As an Associate Data Engineer, you will work closely with experienced engineers to develop data ...

Hp

Forecasting Data Engineer

Vancouver, WA · On-site

$105K - $161K/yr

Forecasting Data Engineer Description - Job Summary This role is responsible for data collection ... Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information ...

HII

DATA ENGINEER - DATA SCIENCE TEAM

Newport News, VA · Hybrid

$104K - $124K/yr

DATA ENGINEER - DATA SCIENCE TEAM Location: Newport News, Virginia, United States Date: Jun 27 ... NNS Apprentice School graduate * Navy Nuclear Power School (NNPS) graduate * Associate's Degree or ...

HII

DATA ENGINEER - DATA SCIENCE TEAM

Newport News, VA · Hybrid

$104K - $124K/yr

DATA ENGINEER - DATA SCIENCE TEAM Location: Newport News, Virginia, United States Date: Jun 27 ... NNS Apprentice School graduate * Navy Nuclear Power School (NNPS) graduate * Associate's Degree or ...

Fielmann USA

Data Engineer I

Green Bay, WI · On-site

$111K - $133K/yr

... engineers DATA INTEGRATION • Assist with integrations from various data sources into the data ... high school graduate level • Able to sit or stand for extended periods of time • Able to ...

ClimateAi

Data Engineer I

San Francisco, CA · On-site

$115K - $145K/yr

This is an early-career role designed for a strong CS or Computer Engineering graduate who is excited to grow into a great data engineer. You'll work closely with senior engineers and a manager who ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$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 ...

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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:
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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.
Lead Data Engineer (Data Engineer)

Lead Data Engineer (Data Engineer)

Indiana University

Bloomington, IN • On-site

$105K - $127K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

The Kelley School of Business at Indiana University (IU) is a comprehensive provider of top-tier business education with a full portfolio of undergraduate, graduate, doctoral, and executive programs on campuses in Bloomington and Indianapolis, and online worldwide. The Kelley School has been creating career momentum for 100 years, going from 70 students in 1920 to an enrollment of more than 15,000 students today. Our innovative curriculum is built on personal development, teamwork, and experiential learning with an emphasis on global and social responsibility. Our success is reflected in our reputation among academic peers, our career placement statistics, and the accomplishments of more than 137,000 living alumni around the globe.
Job Summary
  • Performs advanced data management tasks, including complex data modeling, conversion, de-duplication, migration, and identification and repair of data quality issues.
  • Designs, develops, and implements complex custom data systems and advanced reconciliation tools, processes, rules, solutions etc. to validate data, match/merge, and upload batch lists.
  • Creates and tunes highly complex stored procedures and queries for advanced data management and extraction.
  • May contribute to committees and communities of practice to share and improve data engineering practices across the university; provides a high level of consultation and mentoring to other groups and staff on the use of data engineering tools and software.
  • Makes recommendations to improve, as well as implements, documentation and security protocols and procedures for data engineering projects and/or activities; fixes complex problems and resolves issues accordingly.
  • Provides advanced troubleshooting and problem analysis/resolution for data related issues; acts as a point of escalation for junior team members; performs advanced scripting and modifications of application and products for corrective action.
  • Performs advanced-level research and stays up-to-date with data engineering best practices and approaches; stays abreast of latest security threats and risks to proactively address potential exposures.
  • May serve as project lead; often provides guidance to junior peers.
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree (preferably in computer science, information science, or related field.)
WORK EXPERIENCE
Required
  • 5 years data management, engineering, or related experience.
SKILLS
Required
  • Proficient communication skills.
  • Maintains a high degree of professionalism.
  • Demonstrates time management and priority setting skills.
  • Demonstrates a high commitment to quality.
  • Possesses flexibility to work in a fast paced, dynamic environment.
  • Seeks to acquire knowledge in area of specialty.
  • Highly thorough and dependable.
  • Demonstrates a high level of accuracy, even under pressure.
  • Possesses a high degree of initiative.
  • Ability to influence internal and/or external constituents.
Preferred
  • Familiarity with conventional machine learning models and processes, including classification, clustering, and retrieval.
  • Demonstrated experience integrating AI/LLM models (e.g., LLaMA via Ollama, OpenAI, Claude, or Amazon Bedrock) into enterprise platforms and services.
  • Ability to process data and engineer features for downstream model integrations.
  • Experience with prompt engineering, inference pipelines, and APIs for deploying AI agents at scale.
  • Experience with fine-tuning and/or supervising model adaptation to domain-specific data and use cases.
  • Experience with agentic frameworks such as Langgraph, Diffy, or related technologies.
  • Knowledge on tracking data and model lineages including the ability to ensure security and compliance of the deployed models to comply with appropriate governance, to manage role-based access to services, and to apply data masking where necessary.
  • Ensuring security and compliance of the deployed models to comply with appropriate governance, managing role-based access to services, and applying data masking where necessary.
  • Experience building or consuming data virtualization layers to abstract complex enterprise data systems for AI consumption.
  • Strong understanding of modern data architectures (data lakes, lakehouses, vector stores) and API-first approaches to data access and transformation.
  • Familiarity with vector databases (e.g., Marqo, Milvus, Pinecone) and embedding models for semantic search and retrieval-augmented generation (RAG).
  • Proficiency in building and maintaining RESTful APIs that interface with internal systems, enabling AI-enhanced features in existing applications.
  • Experience with cloud services (Azure, AWS), containerized deployments (e.g., Docker), and CI/CD workflows.
  • Comfort working with both in-house developed tools and open-source AI/ML infrastructure.
  • Openness to hybrid .NET and Python ecosystems to support the evolving needs of our AI integration efforts.
  • Passion for supporting digital transformation through AI education and enablement across diverse stakeholder groups, including non-technical faculty and staff.
  • Demonstrated ability to explain complex technical concepts to a wide range of audiences, and a commitment to building reusable resources, guides, and documentation.
  • Strong curiosity, experimental mindset, and a desire to shape the future of AI in higher education.
  • Interest in bridging research, teaching, and operations with intelligent systems and modern data practices.
  • Ability to work iteratively in a fast-moving environment where priorities evolve as innovation unfolds.
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Additional Information
This position is on a 3-year limited term appointment.
Work Location
This position is eligible for remote work or to work a hybrid schedule (mix between remote and in-person work), subject to change in the future based on university policy and business needs.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Advanced
FLSA: Exempt
Job Function: Information Technology
Job Family: Data Analysis & Engineering
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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