[Hiring] Data Engineer @Greenfield Talent

Role Description

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

Qualifications

• 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

Nice to Have

• 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