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Analytics Engineer I - Hudson River Community Credit Union
Data Engineer
Entry‑level Analytics Engineer focused on building reliable data models, transforming raw data, and supporting BI reporting in a financial services environment using SQL, Python, dbt and Snowflake.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data models and pipelines using dbt and Snowflake.
- Write efficient SQL queries to transform raw operational data into clean, analysis‑ready datasets.
- Collaborate with business stakeholders to understand reporting needs and deliver accurate BI solutions in Looker.
- Implement data quality checks and automated testing to ensure data integrity.
- Document data models, data dictionaries, and ETL processes for cross‑team consumption.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Finance, or related field.
- 2+ years of hands‑on experience with SQL and Python for data manipulation.
- Familiarity with modern data warehousing platforms (e.g., Snowflake, Redshift) and transformation tools such as dbt.
- Experience building or supporting BI dashboards/reports, preferably with Looker or similar tools.
- Strong analytical mindset, attention to detail, and ability to work collaboratively in a fast‑paced financial services setting.
Skills
sqlpythondbtsnowflakelooker