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Description:
The Data Engineer position at Kin involves playing a crucial role in ensuring the quality, integrity, and security of Kin’s data assets.
Responsibilities include building a data lakehouse for enterprise reporting, designing and developing data pipelines, modeling raw data for downstream ingestion, and mentoring junior data engineers.
The role also entails leading cross-functional project teams to design solutions for effective reporting, implementing data validation standards, and QA procedures.
Tasks include establishing trust with stakeholders, defining technical requirements aligned with business goals, creating data validation and quality standards, maintaining a metadata catalog, ensuring compliance with privacy regulations, implementing data security measures, and monitoring data access logs for unauthorized access.
Requirements:
3+ years of experience in data engineering or data integration with a focus on data modeling.
2+ years of experience with lakehouse architecture.
Proficiency in data pipeline tools and platforms like dbt, Databricks, FiveTran, and AWS.
Skilled in programming languages such as SQL, Python, and/or Java.
Previous experience with databases like AWS Redshift, MySQL, Postgres, SQL Server, etc.
Excellent communication and collaboration skills to engage with stakeholders across different organizational levels.
Benefits:
Opportunity to work for a company focused on changing home insurance for the better and caring for its members.
Chance to be part of a team that has experienced significant growth and earned recognition from prestigious organizations.
Remote work flexibility available for this position.
Competitive salary and benefits package offered.
Opportunity to work with cutting-edge technology and make a meaningful impact in the insurance industry.