Data Engineer, Senior

UPMC•Pittsburgh, PA

3d•Hybrid

About The Position

Senior IT Data Engineer sits in Marketing data engineering team, develops custom end-to-end integration solutions for large data sets of diverse and complex healthcare data. The team has set a high standard for quality. Deliveries require accuracy, performance stability, security, robust monitoring, alerting and pipeline uptime requirements. They will work closely with various business, marketing, technical and possibly clinical professionals. Additional responsibilities may include product support and ongoing data maintenance responsibilities. This position will be required to manage multiple projects and to prioritize work and have excellent written and verbal communication skills. This opportunity will be a hybrid role and require the individual to be onsite three days a week at the US Steel Tower. If you have prior experience in IT and want to take your career to the next level, apply today!

Requirements

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.

Responsibilities

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.