Senior Data Engineer

Jobtailor; Zionsville (IN); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive health insurance

401K plan with matching contributions

Employee Assistance Program

Wellness programs

Job summary

Group 1001 is looking for a Senior Data Engineer to advance their data organization by leading data pipeline development. The role requires 4-7 years of experience and offers the opportunity to mentor technical team members.

Your contributions will greatly impact business outcomes in insurance and annuity operations, establishing critical data quality frameworks and architecting scalable solutions. Benefits include comprehensive health insurance and a 401K plan.

Qualifications

• 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 scalable solutions that support business growth.

Responsibilities

• Lead the design and implementation of complex data pipelines.
• Architect scalable data solutions for insurance data.
• Establish data quality frameworks and validation processes.

Skills

Python

SQL

ETL/ELT

Data warehousing

Snowflake

Airflow/Dagster

Stream processing

Data quality frameworks

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related field

Master's degree or equivalent experience preferred

Job description

Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture. Group 1001’s culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes. This goal extends to how we hire and onboard our most valuable assets - our employees.

Why This Role Matters:

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.

How You'll Contribute:

• 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

What We're Looking For:

Technical Skills:

Advanced in Python, SQL, RDS, Snowflake, ETL/ELT, Coalesce, Airflow/Dagster, Data warehousing, Stream processing, and Data quality frameworks

Education:

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field
• Master's degree or equivalent experience preferred

Experience:

• 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

Preferred Qualifications:

• 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

Competencies and Soft Skills:

• Leadership skills with ability to guide and mentor junior and mid-level team members
• Strategic thinking with ability to balance technical excellence and business objectives
• Strong influence skills with ability to drive technical decisions and gain stakeholder buy‑in
• Excellent communication skills with ability to present complex ideas clearly to diverse audiences
• Resilience and composure when managing competing priorities and high‑pressure situations

Benefits Highlights:

Employees who meet benefit eligibility guidelines and work 30 hours or more weekly, have the ability to enroll in Group 1001’s benefits package. Employees and their families are eligible to participate in the Company’s comprehensive health, dental, and vision insurance plan options. Employees are also eligible for Basic and Supplemental Life Insurance, Short and Long-Term Disability. All employees, regardless of hours worked, have immediate access to the Company’s Employee Assistance Program and wellness programs—no enrollment is required. Employees may also participate in the Company’s 401K plan, with matching contributions by the Company.

EEO Statement

Group 1001, and its affiliated companies, is strongly committed to providing a supportive work environment where employee differences are valued. Diversity is an essential ingredient in making Group 1001 a welcoming place to work and is fundamental in building a high-performance team. Diversity embodies all the differences that make us unique individuals. All employees share the responsibility for maintaining a workplace culture of dignity, respect, understanding and appreciation of individual and group differences.