Lead Data Engineer (Data Engineer)

KELLEY SCHOOL OF BUSINESS (BL-BUS-IUBLA)

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.

• 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.
  
  

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.)
  
  

Required

WORK EXPERIENCE

• 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.
  
  

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.

This position is on a 3-year limited term appointment.

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.

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.

Career Level: Advanced

FLSA: Exempt

Job Function: Information Technology

Job Family: Data Analysis & Engineering

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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.

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.

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