CareerPlan

Senior Data Engineer

Pittsburgh, Pennsylvania, United StatesFull-time2026-10-12 → 2026-11-15

Core

Build and maintain scalable data pipelines and datasets within a Databricks lakehouse to support reporting, visualization, and machine learning across finance, sales, supply chain, and marketing.

Role type

Senior hands-on IC data engineer

Builds

Production data pipelines, reusable datasets, and data models for Tableau and Spotfire

Domain

Cloud data platforms, data warehousing, and analytics

Required skills

Python, PySpark, SQL, Databricks, Apache Spark, ETL/ELT, data modeling, CI/CD, automated testing, pipeline optimization

Preferred skills

Spotfire, Oracle, Informatica, R, data virtualization, Databricks certification

Technologies

Databricks, Apache Spark, Tableau, Spotfire, Python, PySpark, SQL

Responsibilities

Develop and maintain scalable data pipelines; ingest, validate, clean, and transform structured and unstructured data; build data models and reporting datasets; integrate data warehouse systems with cloud analytics platforms; improve pipeline reliability and performance; implement automated testing and monitoring; partner with stakeholders to deliver data solutions; provide technical guidance and mentorship

Seniority

Senior, hands-on IC