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TravelersSenior Data Engineer
Senior Associate Data Engineer contributing to Travelers' analytics landscape by building and operationalizing data solutions. Collaborating with teams to ensure reliable data delivery across the enterprise.
About the role
- Design, build, and maintain scalable ELT/ETL pipelines using FiveTran, Airbyte, and custom Python workflows.
- Manage data ingestion and transformation across AWS services such as S3, Lambda, Glue, and Athena.
- Monitor pipeline performance and implement logging, alerting, and troubleshooting processes.
- Administer and optimize Knix’s Snowflake environment including access management, cost efficiency, and query performance.
- Design and maintain scalable data models using both dimensional and normalized approaches.
- Build and maintain reusable transformation logic in DBT to deliver high-quality, analysis-ready datasets.
- Partner with engineering, analytics, and business teams to understand data needs and deliver governed, trustworthy datasets.
- Design and optimize Looker explores, views, and dashboards to support self-serve analytics.
- Apply best practices in data quality, documentation, and data governance.
- Champion data engineering best practices including version control, testing, and peer reviews.
- Support performance tuning and optimization across the data stack.
- Stay current on emerging tools, frameworks, and trends in the modern data ecosystem to drive innovation.
Requirements
- 7+ years of experience in software and/or data engineering, with at least 4 years focused on data engineering or analytics engineering.
- Deep hands-on experience with Snowflake, DBT, FiveTran, and Looker in a production environment.
- Proficiency in Python for data workflows, automation, and orchestration.
- Strong SQL skills and experience designing scalable, performant data models.
- Working knowledge of AWS services including S3, Lambda, Glue, and Athena.
- Familiarity with Airbyte or similar tools for custom ingestion.
- Strong problem-solving skills and the ability to work independently and collaboratively.
- Understanding of data governance, access control, and performance tuning.
Benefits
- Employees feel respected and supported at Knix.
- We take an inclusive and equitable approach offering the same interview experience to every candidate we meet with.
- We know and believe that diverse and inclusive teams empower us to make better decisions and inspire innovation so that we can better serve our customers and community.
- We are committed to providing reasonable accommodations and will work with you to meet your needs.
- We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.
Job title
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Not specified
Degree requirement
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