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Trainee Graduate Data Engineer Jobs (NOW HIRING)

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 ...

Fund for Public Health in New York

Data Engineer

Queens, NY · On-site

$125K - $128K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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

fphny

Data Engineer

Astoria, NY · Hybrid

$125K - $128K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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

Hp

Data Solutions - Data Engineer

Spring, TX

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

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 ...

Stanford University

Associate Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

Stanford University is a prestigious institution seeking an Associate Data Engineer. The role ... Company : Stanford University is a teaching and research university that focuses on graduate ...

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 ...

Agap Technologies

Data Engineer Training

Mesa, AZ · On-site

We advise our trainees not to wait till the next class to seek answers to any technical issue ... We are offering online training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Agap Technologies

Data Engineer Training

Mesa, AZ · On-site

We advise our trainees not to wait till the next class to seek answers to any technical issue. • ... on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT ...

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · On-site

$105K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 · On-site

$109K - $131K/yr

  • Medical

  • PTO

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 ...

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Showing results 21-40

All JobsGraduate Data Engineer JobsTrainee Graduate Data Engineer Jobs

Trainee Graduate Data Engineer information

See salary details

$30.5K

$68.6K

$115.5K

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

As of Aug 14, 2026, the average yearly pay for trainee graduate data engineer in the United States is $68,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $74,500.00 per year, depending on experience, location, and employer.

What cities are hiring for Trainee Graduate Data Engineer jobs?

Cities with the most Trainee 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 Trainee Graduate Data Engineer jobs?

States with the most job openings for Trainee Graduate Data Engineer jobs include:

Trainee Graduate Data Engineer jobs near you
Infographic showing various Trainee Graduate Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,617 per year, or $33 per hour.

Lead Data Engineer (Data Engineer)

Indiana University

Bloomington, IN • On-site

$99K - $120K/yr

Other

Medical, Dental, Life, Retirement, PTO

Re-posted 23 days ago

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 or by visiting IUPD.
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