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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Operations Engineer - **Company:** Purdue Research Foundation - **Location:** West Lafayette, IN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Application Services, Big Data, Data Architecture, Data Governance, Data Integration, Extract Transform Load (ETL), Data Structures, Data Systems, Data Warehousing, Dimensional Modeling, Electronic Data Interchange (EDI), Python (Programming Language), Metadata, Meta-Data Management, Performance Tuning, DataOps, SQL Databases, Systems Integration, Cloud Platform System, Snowflake, Integration Frameworks, Data Management, Data Pipelines - **Published:** August 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=54b893b4daf27d1e ## About the Role * Deep understanding of data warehousing and large-scale data processing. * Strong understanding of enterprise data architecture principles. * Strong programming and scripting skills (e.g., Python, Shell). * Ability to evaluate complex systems and recommend effective, scalable architectural solutions. * Strong knowledge of enterprise data governance and data quality practices. * Demonstrated ability to manage medium to large cross-functional projects and coordinate successful delivery across teams. * Ability to translate strategic objectives into technical solutions and actionable plans. * Excellent communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders across the organization. * Build collaborative relationships across functional teams to coordinate data operations efforts and support successful project delivery. * Strong organizational and problem-solving skills, with the ability to manage competing priorities in a dynamic environment., * Minimum of 5 years' experience working with enterprise data integration, ETL/ELT development, data pipelines, and data platforms. * Bachelor's degree required. * Advanced proficiency in SQL and strong experience with complex data structures, relational and dimensional modeling. * Advanced experience designing and implementing scalable ETL/ELT pipelines and data integration frameworks. * Experience with cloud-based data platforms, such as Snowflake. * Experience automating data workflows and integrating enterprise APIs. * Experience with metadata management and data privacy principles., A criminal conviction check and negative controlled substance test are required for employment in this position. ## Description * Design and implement scalable data pipelines and integration frameworks that enable reliable data exchange across campus systems, cloud platforms, third-party applications, and APIs. * Manage medium to large data initiatives, coordinating activities across teams and ensuring solutions support departmental objectives. * Implement and enhance established standards for data integration, automated validation, and data quality. * Maintain and improve monitoring practices that improve pipeline reliability and deliver dependable, scalable data solutions. * Analyze complex data challenges, identify root causes, and implement solutions that improve overall data ecosystem performance. * Improve enterprise data workflows through performance tuning and automation. * Promote reliable operations through continuous improvement and operational best practices. * Partner with business and technical stakeholders to align data solutions with strategic objectives and ensure data is accessible, trusted, and actionable. * Support data governance by implementing standards and promoting consistent data management practices. * Provide technical leadership for enterprise data engineering and operations initiatives. * Guide and mentor team members by providing coaching, reviewing work, and supporting skill development across the function. * Develop and maintain documentation for data architecture, integration workflows, metadata, and operational procedures. * Evaluate and recommend tools, technologies, and architectural approaches to enhance data capabilities and operational effectiveness. * Exercise independent judgment in selecting methods and approaches for new assignments, ensuring alignment with departmental priorities. * Perform other duties as needed. ## Related Videos - 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