We’re looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a hands‑on role where you’ll manage and evolve our ELT pipelines, Snowflake environment, and Python‑based integrations while partnering closely with analysts and systems administrators who rely on high‑quality, reliable data.
Own the day‑to‑day operation, maintenance, and enhancement of ELT pipelines and the Snowflake data warehouse
Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks
Design, build, and document new data models and transformations as analytical needs evolve
Ensure data reliability, consistency, and availability for downstream consumers
Support and extend API integration workflows built with Boomi and Python
Maintain and contribute to custom Python applications used across the team
Collaborate with internal stakeholders to scope and deliver new data integration projects
Participate in evaluating modern data tooling as we consider improvements to our architecture
Document systems, processes, and decisions to build long‑term institutional knowledge
Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field (preferred)
3–5 years of hands‑on experience in a data engineering role
Strong SQL skills and a solid understanding of data modeling for analytics
Practical experience with Snowflake or a similar cloud data warehouse
Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.)
Working knowledge of Python for data processing and scripting
Experience with REST APIs and integrating external data sources
Comfort digging into unfamiliar systems to diagnose root‑cause issues
Experience using GitHub for version control
Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)
Experience with Oracle EBS or Salesforce
Familiarity with data pipeline orchestration concepts
Experience partnering closely with BI or analytics teams