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# Data Engineer

- **Company:** OneAmerica Financial Partners, Inc.
- **Location:** Indianapolis, IN, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Business Analytics Applications, Architectural Patterns, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Vault Modeling, Database Development, Database Queries, Dimensional Modeling, Python (Programming Language), Cloud Services, DataOps, Software Engineering, SQL Databases, Data Streaming, Workflow Management Systems, Scripting, Snowflake, Git, Operational Systems, Data Pipelines
- **Published:** October 29, 2026
- **Apply:** https://recruiting.ultipro.com/ONE1003ONEA/JobBoard/02f5e999-587f-441c-83e0-b6effa8094b2/OpportunityDetail?opportunityId=905281c5-1488-4eb6-91a3-b7b633c77a9b

## About the Role

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., * 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

## Description

We 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., * 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