Note: The job is a remote job and is open to candidates in USA. Franklin Fitch is recruiting for an unnamed financial services technology business rebuilding its data stack. The Senior Data Engineer will build and own scalable data pipelines and foundations, ensure data quality and platform reliability, and influence architecture and data practices across the organization.
Responsibilities
- Batch and streaming pipelines at scale on a modern cloud-native platform
- Data foundations that power analytics, machine learning and AI use cases
- Reusable frameworks that let other teams self-serve with confidence
- Data quality, lineage and governance, so people can rely on every number
- Platform performance and cost, with room to improve what needs improving
- Reliability of the pipelines the business depends on every day
- Architecture and tooling choices across the data function
- How analysts, ML engineers and product teams work with data
- The standards and practices future engineers will build on
Skills
- 5+ years in data engineering
- Strong SQL and Python
- Cloud experience (AWS, Azure or GCP) and orchestration tools such as Airflow or Dagster
- A thoughtful approach to designing for scale, failure and change
- Kafka or other streaming technologies
- Snowflake or Databricks, plus dbt
- Financial services or other regulated environment experience
Benefits
- Bonus
- Fully remote, for applicants based in the Atlanta Metropolitan Area
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