Senior Data Engineer
Summary
Designs and maintains data ingestion pipelines, governance frameworks, and analytical platforms for a fintech company, ensuring data quality, security, and scalability while mentoring engineers.
You own the data ingestion and governance layer for the analytical platform. You design foundational pipelines, evaluate platform options, establish access controls and audit practices, enforce the transactional source-of-truth boundary, define data quality and reconciliation practices, document technical decisions, and establish monitoring and recovery standards.
Responsibilities
- Design ingestion pipelines from transactional and event infrastructure
- Evaluate analytical platform options
- Build data governance practices
- Enforce the transactional source-of-truth boundary
- Define data quality and reconciliation practices
- Write RFCs and design documents
- Define monitoring, alerting, and failure recovery standards
- Mentor less-senior data engineers
Requirements
- 5–7 years of data engineering experience
- Hands-on pipeline design experience
- Knowledge of AWS-native data tooling, Snowflake, and Databricks tradeoffs
- Experience building data governance practices
- Experience with access control, audit logging, and data lineage
- Understanding of analytical layers derived from transactional sources of truth
- Production experience with Kafka, MSK, PostgreSQL, or equivalent tools
- Strong written communication
- Experience in regulated or compliance-sensitive environments preferred
- Familiarity with blockchain or on-chain data preferred
- Experience with SOC 2 or data residency frameworks preferred
- Familiarity with Terraform or equivalent infrastructure-as-code tooling preferred
- Experience mentoring data engineers preferred
Benefits
- Equity
- Full medical benefits
- Vision benefits
- Dental benefits
- 401(k) with matching program
- Flexible vacation policy (PTO)
- Remote-first work environment