Senior Data Engineer

Job Summary

Focused on developing analytics-oriented data models and ingestion pipelines, the full-time Senior Data Engineer will manage data engineering tasks related to Conservation Effectiveness, Finance, and Human Resources, ensuring quality data for decision-making in a remote environment.

Key responsibilities

• Create data pipelines to ingest data from Workday and the conservation Hub into a shared data lake
• Design, build, and maintain datamarts across core data domains using fact/dimension design principles
• Gather requirements for new data attributes in collaboration with Analytics, Data Governance, and end users

Required qualifications

• Bachelor's degree in computer science or a related field and three years of experience in programming and systems design, or an equivalent combination of education and/or experience
• Three years of experience in data engineering or an equivalent combination of education and/or experience
• Five or more years of experience in SQL, including advanced topics such as window functions and subqueries
• Two or more years of experience working with financial general ledger data
• Three or more years of experience in Python using data-focused packages (PySpark, Pandas, or similar)