Job SummaryWe are seeking a Data Engineer to build, enhance, and support a modern cloud data platform focused on delivering trusted data quickly, reliably, and efficiently. This is a hands-on, collaborative role for an engineer who is developing strong expertise in Snowflake, modern ELT and data engineering patterns, and scalable pipeline development.
The ideal candidate has solid engineering fundamentals, a delivery-oriented mindset, and the ability to work with guidance across multiple source systems. This person will develop maintainable pipelines, investigate data issues, and partner with senior engineers, analytics teams, and business stakeholders to create dependable data products.
Experience with Medallion Architecture, dbt, and cloud data platforms is preferred.
Primary Responsibilities include, but not limited to:
- Build and maintain scalable, reliable, and cost-conscious data pipelines in Snowflake
- Develop and support ELT workflows using modern tooling such as dbt
- Implement established Bronze, Silver, and Gold patterns within a Medallion Architecture
- Integrate and transform data from operational systems and third-party platforms
- Write reusable, maintainable SQL and Python for data transformation and automation
- Monitor pipelines, investigate failures, and resolve data quality issues
- Apply established standards for testing, documentation, lineage, observability, and deployment
- Support Snowflake performance and cost optimization through sound engineering practices
- Partner with analytics, product, and business teams to clarify requirements and deliver trusted datasets
- Contribute to data modeling, governance, and engineering standards
- Participate in code reviews, release activities, and continuous improvement efforts
Required Work Experience/Education:
- Bachelors Degree
- 3+ years of data engineering, software engineering, or data development experience
- Hands-on experience working with Snowflake or a comparable modern cloud data platform
- Strong SQL skills, including joins, window functions, transformations, and query troubleshooting
- Working proficiency in Python for data engineering, scripting, or automation
- Experience building or supporting production ELT or ETL pipelines
- Experience with dbt or a similar transformation framework
- Understanding of dimensional modeling and modern data architecture concepts
- Experience integrating data from multiple source systems
- Familiarity with Git, code review, and CI/CD practices
- Strong analytical, troubleshooting, communication, and collaboration skills
Recommended Work Experience/Education:
- Experience implementing Medallion Architecture patterns
- Experience in insurance, financial services, or another regulated industry
- Familiarity with orchestration tools such as Airflow, Dagster, or Snowflake Tasks
- Exposure to streaming or near-real-time data pipelines
- Familiarity with data observability, monitoring, and lineage tools
- Experience supporting enterprise BI and analytics platforms
- Exposure to Data Vault and/or dimensional modeling methodologies
Salary Band: 05B
This selected candidate will be expected to work hybrid in Indianapolis, IN. The candidate will also be expected to physically return to the office in CA, IN or ME as business needs dictate or for team building and collaboration.
We offer a comprehensive total rewards package designed to support you both at work and at home. Full-time and part-time associates working 30 or more hours per week are generally eligible for benefits, including but not limited to:
- Medical & prescription, dental, vision insurance
- Health Savings Account & Flexible Spending Accounts
- Paid Time Off
- 10 weeks 100% paid parental leave (after completing 12 months of employment)
- 401(k) Plan with company match
- Pension Plan
- Company paid life & disability insurance
- Wellness Program & Company paid employee assistance program
- Clinic access subject to location* (*Indianapolis, Charlotte, Cincinnati)
