Indiana University
Overview
Join to apply for the
Data Engineer
role at
Indiana University . 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 12,000 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 to validate data, match/merge, and upload batch lists. Creates and tunes highly complex stored procedures and queries for advanced data management and extraction. Contributes 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 applications 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
Education Bachelor's degree (preferably in computer science, information science, or related field).
Work Experience 5 years data management, engineering, or related experience.
Preferred Experience contributing to communities of practice or cross-functional innovation teams is a plus.
Skills
Proficient in written and verbal communication skills. Maintains a high degree of professionalism. Demonstrated time management and priority setting skills. Demonstrates a high commitment to quality. Flexibility to work in a fast-paced, dynamic environment. Seeks to acquire knowledge in area of specialty. Highly thorough and dependable. High level of accuracy, even under pressure. High initiative and ability to influence internal and/or external constituents.
Preferred
Familiarity with conventional machine learning models and processes, including classification, clustering, and retrieval. Ability to process data and engineer features for downstream model integrations. Knowledge of tracking data and model lineages, security/compliance of deployed models, and data masking where necessary. Proficiency in building and maintaining RESTful APIs that interface with internal systems. Openness to hybrid .NET and Python ecosystems to support AI integration needs. Strong understanding of modern data architectures (data lakes, lakehouses, vector stores) and API-first approaches to data access and transformation. Familiarity with vector databases and embedding models for semantic search and RAG. Experience with AI/ML tooling, open-source infrastructure, and communicating complex concepts to diverse audiences. Experience integrating AI/LLMs into enterprise platforms and services, prompt engineering, and API-based deployment for AI agents at scale. Experience with cloud services (Azure, AWS), containerization (Docker), and CI/CD workflows. Commitment to supporting digital transformation through AI education across diverse stakeholder groups.
This role requires the ability to effectively communicate and 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 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 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, and other insurance options Base retirement plan with generous IU contributions, subject to vesting Tuition subsidy for employees and family members 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)
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination for details. The posting may close at 11:59 pm EST on the advertised Close Date, 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. #J-18808-Ljbffr
Join to apply for the
Data Engineer
role at
Indiana University . 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 12,000 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 to validate data, match/merge, and upload batch lists. Creates and tunes highly complex stored procedures and queries for advanced data management and extraction. Contributes 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 applications 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
Education Bachelor's degree (preferably in computer science, information science, or related field).
Work Experience 5 years data management, engineering, or related experience.
Preferred Experience contributing to communities of practice or cross-functional innovation teams is a plus.
Skills
Proficient in written and verbal communication skills. Maintains a high degree of professionalism. Demonstrated time management and priority setting skills. Demonstrates a high commitment to quality. Flexibility to work in a fast-paced, dynamic environment. Seeks to acquire knowledge in area of specialty. Highly thorough and dependable. High level of accuracy, even under pressure. High initiative and ability to influence internal and/or external constituents.
Preferred
Familiarity with conventional machine learning models and processes, including classification, clustering, and retrieval. Ability to process data and engineer features for downstream model integrations. Knowledge of tracking data and model lineages, security/compliance of deployed models, and data masking where necessary. Proficiency in building and maintaining RESTful APIs that interface with internal systems. Openness to hybrid .NET and Python ecosystems to support AI integration needs. Strong understanding of modern data architectures (data lakes, lakehouses, vector stores) and API-first approaches to data access and transformation. Familiarity with vector databases and embedding models for semantic search and RAG. Experience with AI/ML tooling, open-source infrastructure, and communicating complex concepts to diverse audiences. Experience integrating AI/LLMs into enterprise platforms and services, prompt engineering, and API-based deployment for AI agents at scale. Experience with cloud services (Azure, AWS), containerization (Docker), and CI/CD workflows. Commitment to supporting digital transformation through AI education across diverse stakeholder groups.
This role requires the ability to effectively communicate and 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 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 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, and other insurance options Base retirement plan with generous IU contributions, subject to vesting Tuition subsidy for employees and family members 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)
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination for details. The posting may close at 11:59 pm EST on the advertised Close Date, 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. #J-18808-Ljbffr