Key skills
PythonSQLETL/ELTData warehousingSnowflakedbt/CoalesceAirflow/DagsterStream processingData quality frameworksPolitical acumenLeadership skillsCommunication skillsETLELTData EngineeringData WarehousingAnalyticsAirflowdbtRDSLeadershipMentoring
About this role
Group 1001 is a consumer-centric, technology-driven family of insurance companies. The Staff Data Engineer will serve as a key technical leader, defining strategies for data pipeline development and establishing standards for data warehouse design across the organization.
Responsibilities:
- Define data engineering strategy and technical roadmap for the organization, balancing innovation with operational stability
- Lead organization-wide initiatives to modernize data infrastructure, improve data quality, and enable self-service analytics
- Establish standards and best practices for data engineering across multiple teams, ensuring consistency and quality
- Partner with platform and infrastructure teams to optimize data systems for performance, cost, and scalability
- Mentor senior engineers and technical leads, developing the next generation of data engineering leadership
Requirements:
- 7-10 years of experience in data engineering or related field
- Advanced in Python, SQL, RDS, Snowflake, ETL/ELT, dbt/Coalesce, Airflow/Dagster, Data warehousing, Stream processing, and Data quality frameworks
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field
- Demonstrated experience defining technical strategy and driving organization-wide initiatives
- Proven track record of leading complex, high-impact projects with broad organizational scope
- Experience mentoring and developing senior engineers and technical leaders
- Strong executive presence with ability to influence stakeholders at all levels of the organization
- Master's degree or equivalent experience preferred
- Extensive experience in insurance or financial services with deep understanding of industry challenges
- Recognized expertise through conference presentations, publications, or industry speaking engagements
- Experience with enterprise-scale systems and complex technical environments
- Proven ability to build consensus and drive alignment across multiple teams and stakeholders
- Track record of successful vendor partnerships and technology evaluations