{"schemaVersion":"jobsearcher.job.v1","id":"d274f968cfb17d2ee7a113df","url":"https://jobsearcher.com/jobs/d274f968cfb17d2ee7a113df","canonicalUrl":"https://jobsearcher.com/jobs/d274f968cfb17d2ee7a113df","title":"Lead Data Engineer (Data Engineer)","description":"Department\nKELLEY SCHOOL OF BUSINESS (BL-BUS-IUBLA)\nDepartment Information\nThe 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.\nJob Summary\nPerforms advanced data management tasks, including complex data modeling, conversion, de-duplication, migration, and identification and repair of data quality issues.\nDesigns, develops, and implements complex custom data systems and advanced reconciliation tools, processes, rules, solutions etc. to validate data, match/merge, and upload batch lists.\nCreates and tunes highly complex stored procedures and queries for advanced data management and extraction.\nMay 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.\nMakes 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.\nProvides 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.\nPerforms 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.\nMay serve as project lead; often provides guidance to junior peers.\nQualifications\nCombinations 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.\nEDUCATION\nRequired\nBachelor's degree (preferably in computer science, information science, or related field.)\nWORK EXPERIENCE\nRequired\n5 years data management, engineering, or related experience.\nSKILLS\nRequired\nProficient communication skills.\nMaintains a high degree of professionalism.\nDemonstrates time management and priority setting skills.\nDemonstrates a high commitment to quality.\nPossesses flexibility to work in a fast paced, dynamic environment.\nSeeks to acquire knowledge in area of specialty.\nHighly thorough and dependable.\nDemonstrates a high level of accuracy, even under pressure.\nPossesses a high degree of initiative.\nAbility to influence internal and/or external constituents.\nPreferred\nFamiliarity with conventional machine learning models and processes, including classification, clustering, and retrieval.\nDemonstrated experience integrating AI/LLM models (e.g., LLaMA via Ollama, OpenAI, Claude, or Amazon Bedrock) into enterprise platforms and services.\nAbility to process data and engineer features for downstream model integrations.\nExperience with prompt engineering, inference pipelines, and APIs for deploying AI agents at scale.\nExperience with fine-tuning and/or supervising model adaptation to domain-specific data and use cases.\nExperience with agentic frameworks such as Langgraph, Diffy, or related technologies.\nKnowledge 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.\nEnsuring security and compliance of the deployed models to comply with appropriate governance, managing role-based access to services, and applying data masking where necessary.\nExperience building or consuming data virtualization layers to abstract complex enterprise data systems for AI consumption.\nStrong understanding of modern data architectures (data lakes, lakehouses, vector stores) and API-first approaches to data access and transformation.\nFamiliarity with vector databases (e.g., Marqo, Milvus, Pinecone) and embedding models for semantic search and retrieval-augmented generation (RAG).\nProficiency in building and maintaining RESTful APIs that interface with internal systems, enabling AI-enhanced features in existing applications.\nExperience with cloud services (Azure, AWS), containerized deployments (e.g., Docker), and CI/CD workflows.\nComfort working with both in-house developed tools and open-source AI/ML infrastructure.\nOpenness to hybrid .NET and Python ecosystems to support the evolving needs of our AI integration efforts.\nPassion for supporting digital transformation through AI education and enablement across diverse stakeholder groups, including non-technical faculty and staff.\nDemonstrated ability to explain complex technical concepts to a wide range of audiences, and a commitment to building reusable resources, guides, and documentation.\nStrong curiosity, experimental mindset, and a desire to shape the future of AI in higher education.\nInterest in bridging research, teaching, and operations with intelligent systems and modern data practices.\nAbility to work iteratively in a fast-moving environment where priorities evolve as innovation unfolds.\nWorking Conditions / Demands\nThis 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.\nAdditional Information\nThis position is on a 3-year limited term appointment.\nWork Location\nThis 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.\nBenefits Overview\nFor full-time staff employees, Indiana University offers a wide array of benefits including:\nComprehensive medical and dental insurance\nHealth savings account with generous IU contributions\nHealthcare and dependent care flexible spending accounts\nBasic group life insurance paid by IU\nVoluntary supplemental life, long-term disability, critical illness, and supplemental accidental death and dismemberment insurance\nBase retirement plan with generous IU contributions, subject to vesting\nVoluntary supplemental retirement plan options\nTuition subsidy for employees and family members taking IU courses\n10 paid holidays plus a paid winter break each year\nGenerous paid time off plans\nPaid leave for new parents and IU-sponsored volunteer events\nEmployee assistance program (EAP)\nLearn more about our benefits by reviewing the IU Benefit Programs Brochure.\nJob Classification\nCareer Level: Advanced\nFLSA: Exempt\nJob Function: Information Technology\nJob Family: Data Analysis and Engineering\nClick here to learn more about Indiana University's Job Framework.\nPosting Disclaimer\nThis 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.\nIf you wish to include a cover letter, you may include it with your resume when uploading attachments.\nEqual Employment Opportunity\nIndiana 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.\nCampus Safety and Security\nThe 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.\nContact Us\nRequest Support\nTelephone: 812-856-1234","company":"Indiana University","rawCompany":"indiana university","city":"Bloomington","state":"MN","isRemote":false,"isActive":false,"createdAt":"2026-08-06T13:39:51.197Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer (Data Engineer)","description":"Department\nKELLEY SCHOOL OF BUSINESS (BL-BUS-IUBLA)\nDepartment Information\nThe 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.\nJob Summary\nPerforms advanced data management tasks, including complex data modeling, conversion, de-duplication, migration, and identification and repair of data quality issues.\nDesigns, develops, and implements complex custom data systems and advanced reconciliation tools, processes, rules, solutions etc. to validate data, match/merge, and upload batch lists.\nCreates and tunes highly complex stored procedures and queries for advanced data management and extraction.\nMay 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.\nMakes 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.\nProvides 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.\nPerforms 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.\nMay serve as project lead; often provides guidance to junior peers.\nQualifications\nCombinations 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.\nEDUCATION\nRequired\nBachelor's degree (preferably in computer science, information science, or related field.)\nWORK EXPERIENCE\nRequired\n5 years data management, engineering, or related experience.\nSKILLS\nRequired\nProficient communication skills.\nMaintains a high degree of professionalism.\nDemonstrates time management and priority setting skills.\nDemonstrates a high commitment to quality.\nPossesses flexibility to work in a fast paced, dynamic environment.\nSeeks to acquire knowledge in area of specialty.\nHighly thorough and dependable.\nDemonstrates a high level of accuracy, even under pressure.\nPossesses a high degree of initiative.\nAbility to influence internal and/or external constituents.\nPreferred\nFamiliarity with conventional machine learning models and processes, including classification, clustering, and retrieval.\nDemonstrated experience integrating AI/LLM models (e.g., LLaMA via Ollama, OpenAI, Claude, or Amazon Bedrock) into enterprise platforms and services.\nAbility to process data and engineer features for downstream model integrations.\nExperience with prompt engineering, inference pipelines, and APIs for deploying AI agents at scale.\nExperience with fine-tuning and/or supervising model adaptation to domain-specific data and use cases.\nExperience with agentic frameworks such as Langgraph, Diffy, or related technologies.\nKnowledge 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.\nEnsuring security and compliance of the deployed models to comply with appropriate governance, managing role-based access to services, and applying data masking where necessary.\nExperience building or consuming data virtualization layers to abstract complex enterprise data systems for AI consumption.\nStrong understanding of modern data architectures (data lakes, lakehouses, vector stores) and API-first approaches to data access and transformation.\nFamiliarity with vector databases (e.g., Marqo, Milvus, Pinecone) and embedding models for semantic search and retrieval-augmented generation (RAG).\nProficiency in building and maintaining RESTful APIs that interface with internal systems, enabling AI-enhanced features in existing applications.\nExperience with cloud services (Azure, AWS), containerized deployments (e.g., Docker), and CI/CD workflows.\nComfort working with both in-house developed tools and open-source AI/ML infrastructure.\nOpenness to hybrid .NET and Python ecosystems to support the evolving needs of our AI integration efforts.\nPassion for supporting digital transformation through AI education and enablement across diverse stakeholder groups, including non-technical faculty and staff.\nDemonstrated ability to explain complex technical concepts to a wide range of audiences, and a commitment to building reusable resources, guides, and documentation.\nStrong curiosity, experimental mindset, and a desire to shape the future of AI in higher education.\nInterest in bridging research, teaching, and operations with intelligent systems and modern data practices.\nAbility to work iteratively in a fast-moving environment where priorities evolve as innovation unfolds.\nWorking Conditions / Demands\nThis 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.\nAdditional Information\nThis position is on a 3-year limited term appointment.\nWork Location\nThis 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.\nBenefits Overview\nFor full-time staff employees, Indiana University offers a wide array of benefits including:\nComprehensive medical and dental insurance\nHealth savings account with generous IU contributions\nHealthcare and dependent care flexible spending accounts\nBasic group life insurance paid by IU\nVoluntary supplemental life, long-term disability, critical illness, and supplemental accidental death and dismemberment insurance\nBase retirement plan with generous IU contributions, subject to vesting\nVoluntary supplemental retirement plan options\nTuition subsidy for employees and family members taking IU courses\n10 paid holidays plus a paid winter break each year\nGenerous paid time off plans\nPaid leave for new parents and IU-sponsored volunteer events\nEmployee assistance program (EAP)\nLearn more about our benefits by reviewing the IU Benefit Programs Brochure.\nJob Classification\nCareer Level: Advanced\nFLSA: Exempt\nJob Function: Information Technology\nJob Family: Data Analysis and Engineering\nClick here to learn more about Indiana University's Job Framework.\nPosting Disclaimer\nThis 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.\nIf you wish to include a cover letter, you may include it with your resume when uploading attachments.\nEqual Employment Opportunity\nIndiana 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.\nCampus Safety and Security\nThe 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.\nContact Us\nRequest Support\nTelephone: 812-856-1234","datePosted":"2026-08-06T13:39:51.197Z","dateModified":"2026-08-06T13:39:51.197Z","hiringOrganization":{"@type":"Organization","name":"Indiana University","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bloomington","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d274f968cfb17d2ee7a113df"},"url":"https://jobsearcher.com/jobs/d274f968cfb17d2ee7a113df"}}