Senior Data Engineer
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Job Description
Senior Data Engineer focusing on building ETL pipelines and data frameworks at Federato. Collaborating with teams to deliver AI-powered features in the insurance domain.
Responsibilities:
- Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
- Contribute to architecture decisions, observability tooling, and data quality initiatives that keep our platform robust and maintainable.
- Contribute to a scalable internal framework for managing prompt engineering pipelines and other AI workflows.
- Enforce and elevate engineering best practices across the AI/ML org, including code quality, testing, and documentation.
Requirements:
- 5+ years of experience in data engineering, backend engineering, or related roles with a focus on data infrastructure.
- Proven experience designing and maintaining scalable data pipelines (e.g., using Airflow, Dagster, or Prefect).
- Experience with software development practices like version control, CI/CD, or dbt testing strategies.
- Strong proficiency in SQL and Python, with bonus points for Typescript (or similar) experience
- Comfortable working with version control, CI/CD systems, and cloud infrastructure (e.g., AWS, GCP, Terraform).
- Comfortable navigating ambiguity and working closely with business stakeholders to understand their data needs.
- Proven track record of designing high-impact data products and pipelines in fast-paced environments.
Benefits:
- Total compensation package does include stock options
- benefits and additional perks
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