Senior Data Engineer

Purdue University College of Health and Human Sciences

. Provide technical leadership throughout the BI development lifecycle .

Posted 11/6/2026full-timeRemote • United StatesSenior💰 $82,560 - $87,720 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in business intelligence development, including data warehousing, ETL processes, and the use of BI tools. Proven ability to lead technical projects, collaborate with cross-functional teams, and optimize enterprise data environments.

Highest-signal resume keywords

Business Intelligence DevelopmentData WarehousingETL ProcessesInformatica Intelligent Data Management CloudSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Systems DevelopmentProgrammingData ExtractsData MiningMetadata ManagementStructured DesignImplementation of Computing ArchitecturesDatabase KnowledgeData QualityAutomation

Soft Skills

Effective CommunicationCollaborationProblem-Solving

Tools & Technologies

SAPOLAPDashboardsOracleExcelVersion Control SystemsWeb Servers

Industry Keywords

Enterprise Data WarehousesBI EnvironmentsData IntegrationData QualityComplex Applications

Tech Stack

Tools & technologies

CloudETLInformaticaOracleSQL

About the role

Key responsibilities & impact

Provide technical leadership throughout the BI development lifecycle
Gather requirements and design solutions
Develop, test, deploy, and support business intelligence solutions
Develop data extracts, ETL processes, and summarization routines
Maintain and optimize enterprise data warehouses and integrations
Collaborate with customers and IT colleagues to solve complex data and programming challenges
Improve system performance and interoperability
Ensure solutions are reliable, well-documented, and built using established development practices
Learn Purdue’s systems and processes and take ownership of assigned areas
Help modernize Purdue’s enterprise data environment, including transition to Informatica Intelligent Data Management Cloud and exploration of AI-enabled approaches to data integration, automation, data quality, and development

Requirements

What you’ll need

Bachelor's degree in computer technology, computer science, engineering, or related discipline, or equivalent combination of related education and required experience
Four (4) years of experience in software systems development and programming
Two (2) years of experience in data warehousing or business intelligence
Associate’s degree plus 4 years of experience may substitute for the degree requirement
High school/HSE plus 6 years of experience may substitute for the degree requirement
Experience in a variety of BI environments and with BI tools
Experience with structured design, development, and implementation of new computing architectures
Experience with data sources including SAP, dashboards, OLAP and data mining tools, SQL, Oracle, flat files, and Excel
Experience in cross-functional team environments
Metadata and problem-solving skills
Ability to work with subject-matter experts, vendors, customers, and other constituents to identify and resolve issues
Knowledge of databases, data mining, and data warehousing systems
Knowledge of application functionality, operating systems, and foundational infrastructure
Ability to administer enterprise-level services including version control systems, relational databases, web servers, or other complex applications
Effective written and verbal communication, documentation, and collaboration skills
Purdue University will not sponsor employment authorization for this position
Background check required for employment

Benefits

Comp & perks

Medical, dental, and vision insurance
Generous paid time off package for sick and vacation days
Defined contribution retirement plan after a waiting period