Position Details

Salary $127K – $190K USD / year

Type Full-Time

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

This role involves designing and optimizing data pipelines for insurance loss modeling, focusing on telematics and third-party data integration, utilizing modern data architectures and cloud platforms.

Key Responsibilities

Design ETL pipelines
Mentor junior team members
Partner with stakeholders
Ingest large datasets
Publish Data Products

Technical Overview

The technical environment includes Spark, Snowflake, Python, SQL, AWS services, Data Lake, Data Mesh, and modern architecture methodologies like Lakehouse, with an emphasis on DevOps/DataOps pipelines and Agile practices.

Ideal Candidate

The ideal candidate is a mid-level data engineer with expertise in Spark, Snowflake, Python, and SQL, experienced in building scalable data pipelines and working with cloud platforms like AWS. They should be proactive, collaborative, and familiar with modern data architectures such as Data Mesh and Lakehouse.

Must-Have Skills

SparkSnowflakePythonSQLETL/ELT pipelinescloud platformsAWS servicesAgile methodologies

Nice-to-Have Skills

Data MeshLakehouseData GovernanceData SecurityStreaming technologiesData warehousing

Tools & Platforms

MWAAAutosysControl-MCI/CD pipelines

Required Skills

SparkSnowflakePythonSQLETL pipelinescloud platformsAWSData LakeData MeshLakehouseAgileScrumKanban

Hard Skills

SparkSnowflakePythonSQLPL/SQLDevOpsDataOpscloud platformsAWS servicesETL/ELT pipelinesData LakeData MeshLakehouseAgile methodologiesScrumKanban

Soft Skills

problem-solvingcommunicationcollaborationproactive mindsetcritical thinking

Industry & Role

Industry Insurance

Job Function Developing and maintaining scalable data engineering solutions for insurance analytics

Role Subtype Data Engineer

Tech Domains Amazon Web Services, Python, SQL / PostgreSQL, ETL / Data Pipelines, Data Lake

Keywords for Your Resume

Principal Data EngineerSparkSnowflakePythonSQLPL/SQLDevOpsDataOpsAWS servicesETL pipelinesData LakeData MeshLakehouseAgileScrumKanbansparksnowflakepythonsqletl pipelinescloud platformsawsdata lakedata meshagile

Deal Breakers

Lack of experience with Spark or Snowflake, No cloud platform experience, No experience with ETL/ELT pipelines, Unwillingness to work in a hybrid environment

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