Senior Data Engineer

Group 1001•Zionsville, IN

About The Position

The Senior Data Engineer at Group 1001 will play a critical role in advancing our data organization by leading data pipeline development and driving excellence in data warehouse design. This position requires deep technical expertise and the ability to mentor team members while delivering solutions that directly impact business outcomes in our insurance and annuity operations. This position requires 4-7 years of experience, working self-directed on complex problems to deliver multi-team impact. You will provide technical leadership and mentor team members in their professional development. This is an opportunity to contribute to Group 1001's mission of delivering outstanding value through data-driven insights and innovative solutions in the insurance and annuity business.

Requirements

Advanced in Python, SQL, RDS, Snowflake, ETL/ELT, Coalesce, Airflow/Dagster, Data warehousing, Stream processing, and Data quality frameworks
Bachelor's degree in Computer Science, Data Science, Engineering, or related field
4-7 years of experience in data engineering or related field
Proven experience leading technical projects and mentoring junior team members
Track record of designing and implementing scalable solutions that support business growth
Experience working in fast-paced environments with evolving requirements and priorities
Strong communication skills with ability to explain technical concepts to non-technical stakeholders

Nice To Haves

Master's degree or equivalent experience preferred
Deep experience in the insurance or financial services industry with understanding of regulatory requirements
Proven success with microservices migration and domain-driven design
Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures
Proven ability to drive technical decisions and influence architecture direction
Strong mentorship skills with track record of developing junior team members

Responsibilities

Lead the design and implementation of complex data pipelines that support critical business operations and analytics initiatives
Architect scalable data solutions that handle growing volumes of insurance data while maintaining performance and reliability
Establish data quality frameworks and validation processes to ensure accuracy and completeness of data across the organization
Mentor junior and mid-level engineers on data engineering best practices, design patterns, and technical problem-solving
Drive technical decisions on data architecture, tooling, and infrastructure to support evolving business needs