Lead Data Engineer (Data Engineer)

Job ID: 319156

Department

KELLEY SCHOOL OF BUSINESS (BL-BUS-IUBLA)

Department
Information

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.

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.

Contact Us

Request Support
Telephone: 812-856-1234

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