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# Data Engineer, Senior (Pittsburgh, PA)

- **Company:** UPMC
- **Location:** Pittsburgh, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Databases, Data Validation, Data Integration, Extract Transform Load (ETL), Data Visualization, Apache Hadoop, Marketing Information Systems, Azure Data Factory, Informatica Powercenter, Snowflake, Apache Spark, Kubernetes, Information Technology, Integration Frameworks, Apache Kafka, Serverless Computing
- **Published:** October 16, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3451678257&tx=FR1714FFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in a field like mathematics, statistics, economics, finance or computer science, or another relevant field preferred.
 * (Seven) 7 years of relevant experience, e.g., Business Analyst, Report Developer, Systems Analyst, Software Engineer, DBA or equivalent combination of education and experience required.
 * Familiarity with ETL tools, big data technologies like Hadoop, Spark, Kafka and cloud platforms like Azure, Snowflake.
 * Demonstrate effective usage in integration tools, Java, Informatica, Kubernetes, Azure Functions, Azure Data Factory.
 * Analytical and problem-solving skills. Ability to set and meet deadlines.
 * Ability to work in high-pressure situations. Reporting and data visualization skills.
 * Excellent attention to detail. Strong technical writing skills. Excellent attention to detail.Licensure, Certifications, and Clearances:
 * Act 34UPMC is an Equal Opportunity Employer/Disability/Veteran

## Description

* Acquire datasets that align with business needs
 * Develop algorithms to transform data into useful, actionable information
 * Build, test, and maintain database pipeline architectures
 * Create new data validation methods and data analysis tools.
 * Write and maintain technical implementation and supporting documentation for data integrations.
 * Document, troubleshoot, and appropriately address production issues with the customer and effectively communicate with the team and other stakeholders.
 * Manage tasks and timelines related to assigned work.
 * Escalate Risks and delays timely and effectively to the team Lead and/or PM.
 * Demonstrate the ability to create and deliver clear, concise, and effective written and oral communications.Complete projects, tasks, and initiatives by embracing a team-first approach.
 * Work in collaboration with team and offer feedback, where appropriate, to support individual and group efforts. Show the ability to adjust and be flexible to change by adapting approaches when necessary.
 * Responsible for continuous self-study, training, partnering with senior members, and/or seeking out opportunities to broaden scope and to stay up to date with industry and organizational trends.
 * Seek feedback from senior team members for development and effectively incorporate feedback into work and behaviors.
 * Assist in the education and coaching of new members of the team.