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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Epic Data Engineer - **Company:** Stefanini - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $156,000.0 - $166,400.0 - **Contract:** Permanent contract - **Skills:** Computer Programming, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, Digital Assets, Systems Development Life Cycle, Software Engineering, Data Streaming, Cloud Platform System, Snowflake, Physical Data Models, Epic Caboodle, Data Pipelines - **Published:** July 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d93480d8157d34d0 ## About the Role * Atleast five years of relevant experience developing and supporting applications, and or system development lifecycle including coding, testing, and implementation required * Effective and self-sufficient in working within a diverse technology portfolio * Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito, Clarity Data model, Caboodle Data Model * Strong Experience in Programming; Well-versed with concepts and techniques of Business Intelligence and Data Warehousing * Strong written and oral communication skills with ability to interpret technical requirements Nice To Have * Epic certifications in Cogito Tools Administration or Caboodle Development for Clarity Data or Caboodle Development for Non-Epic Data * Experience in Facets * Snowflake Experience Qualifications: * Bachelor's Degree or equivalent Preferred Master's Degree * 5 years of relevant experience Required, * Do you have epic certifications-Cogito, Clarity Data or Caboodle Data Model? * Do you have experience in Facets? * Do you have Snowflake Experience? * Do you have experience in developing, testing, and deploying ELT / ETL processes? ## Description Job Summary:Data Engineers work collaboratively with architects, business intelligence developers, data analysts and data scientists to build and maintain analytic solutions utilizing both traditional on-premises and cloud-based platforms. The Senior Data Engineer is an experienced data pipeline builder and data wrangler with an aptitude for identifying nuances and patterns within complex datasets with the goal of transforming raw data into timely, reliable data sets. This role is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection to support business needs. Essential Functions: * Develops, tests, and deploys ELT / ETL processes across multiple sources, targets and tools with no supervision. * Provides support and recommendations to intermediary level engineers to enhance their technical skills. Collaborates with data consumers of varying skill levels on available data sources and potential biases within datasets. * Provides operational and ad-hoc support for systems and applications troubleshooting and maintenance for incidents related to data warehouses, datasets and data pipelines. * Participates in the design, development, and implementation of conceptual, logical, and physical data models. * Adheres to the team's application of best practices and organizational standards of the Software Development Lifecycle to ensure high quality and reliable data assets. Follows the organizational standards and laws governing use of sensitive data relating to Protected Health Information (PHI) and Personally Identifiable Information (PII). * Develops Continuous Integration and Continuous Development (CI/CD) processes focused on acceleration of value delivery and minimizing manual touchpoints. * Participates in enterprise-wide Agile ceremonies determining and recommending technical programming approaches and solutions to complex applications. 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