Senior Data Engineer - Finance
Hybrid - San Francisco, California
R
USD 172K-203K Senior-level Full Time
Tasks
- Apply Data Mesh domain ownership for finance
- Automate self serve trusted data products
- Build and maintain data pipelines and models
- Design lakehouse architecture with Apache Iceberg
- Develop data models using dbt and Databricks
- Ensure compliance audit and privacy for financial datasets
- Ensure end to end data quality and reliability
- Integrate and govern finance data across source systems
- Translate reporting requirements into scalable data models
Perks/Benefits
- Dental insurance
- Employee discounts
- Flexible wellness time off
- Health insurance
- Hybrid work
- Mental health resources
- Paid Holidays
- Paid sick leave
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
ARR | AWS | Apache Iceberg | Apache Spark | CRM | Churn | DBT | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data mesh | Databricks | ERP | Funnel analytics | LTV | Looker | Netsuite | Python | SQL | Salesforce | Shopify
Education
N/A
Roles
Regions
Countries
States
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