Data Engineer
Summary:
- Work Mode: Not specified
- Design, build, and maintain cloud-native data pipelines and data lake architectures (Snowflake) to support company investment and portfolio analytics
- Develop and manage scalable ETL/ELT workflows to ingest, transform, and curate data from structured and unstructured sources
- Support analytics and reporting use cases, including data reconciliation, validation, and financial data integrity checks
- Support the migration from legacy systems to a modern data platform, including data mapping, transformation logic, and architecture alignment
- Contribute to light project management activities, including breaking down work into Epics/User Stories (Jira), supporting project planning, timelines, and coordination across teams, and assisting with testing, cutover planning, and go-live readiness
- Demonstrated experience in data engineering, including building, maintaining, and optimizing data pipelines and workflow
- Industry expertise in ABF and mortgage servicing settlements, remittances/cash consolidation, servicing workflows, etc.
- Good communication skills and change management abilities align stakeholders and ensure operational readiness of new platform
- Product/Program Management experience leading a full lifecycle project including driving requirements, design, build, testing, cutover planning, and go-live execution
- 5 years of advanced SQL experience with common table expressions (CTEs), complex window functions, conditional logic, joins, aggregations, etc.
- 5 years of professional Python development to process complex datasets efficiently, process automations using Polars, Pandas, or equivalent
- Data cleaning, de-duplication, reconciliation, etc.
- BA / BS or equivalent
