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Data Engineer, Finance - Motion
Data Engineer
Finance-focused Data Engineer building cloud‑native pipelines and data models to deliver reliable financial BI, improve reporting efficiency, and enable data‑driven decisions using Python, SQL, Snowflake, Airflow, and AWS.
About the role
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines on Snowflake and AWS to ingest, transform, and store financial data.
- Collaborate with Finance leadership, Accounting, FP&A, Treasury, Tax, and IT to translate business requirements into technical solutions.
- Implement data quality checks, monitoring, and automated alerts using Airflow and Python to ensure data accuracy and reliability.
- Build and optimize data models and schemas that support financial reporting, budgeting, forecasting, and regulatory compliance.
- Document data lineage, metadata, and best practices to promote transparency and governance across the finance data ecosystem.
Requirements
- 3+ years of experience as a Data Engineer, preferably in a finance or accounting environment.
- Proficiency in Python and SQL for data manipulation, scripting, and automation.
- Hands‑on experience with cloud data platforms such as Snowflake and AWS services (S3, Redshift, Lambda, etc.).
- Strong knowledge of workflow orchestration tools, especially Apache Airflow.
- Demonstrated ability to work cross‑functionally with business stakeholders to deliver high‑quality data solutions.
Skills
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