Data Engineer

Onebridge, a Marlabs Company, is an AI and data analytics consulting firm that strives to improve outcomes for the people we serve through data and technology. We have served some of the largest healthcare, life sciences, manufacturing, financial services, and government entities in the U.S. since 2005. We have an exciting opportunity for a highly skilled Data Engineer to join an innovative and dynamic group of professionals at a company rated among the top “Best Places to Work” in Indianapolis since 2015.

Data Engineer | About You

As a Data Engineer, you are responsible for optimizing and maintaining backend data systems to ensure high performance and scalability. You solve complex challenges such as query optimization and database schema restructuring to improve efficiency. You collaborate closely with analytics and infrastructure teams to support real-time data processing and ETL pipeline development. You maintain and enhance automation frameworks that streamline infrastructure and data workflows. You play a key role in planning and evolving data architecture toward a modern data warehousing strategy.

Data Engineer | Day-to-Day

• Optimize database schemas, including joins, indexes, and normalization, to improve query performance.
• Analyze and resolve inefficient Tableau-generated queries that impact system performance.
• Build and maintain ETL pipelines for real-time data synchronization using tools like Debezium and Postgres.
• Manage time zone logic within database and application layers to ensure data accuracy.
• Maintain and enhance infrastructure automation using Terraform, Ansible, and Tableau APIs.
• Collaborate on long-term data architecture planning, including exploring and designing data warehouse solutions.

Data Engineer | Skills & Experience

• 5+ years of experience in software or data engineering with a focus on database and ETL optimization.
• Strong expertise in SQL query optimization for MySQL, Postgres, or similar relational databases.
• Experience with real-time data streaming and synchronization technologies (e.g., Debezium).
• Proficiency with infrastructure-as-code and automation tools such as Terraform and Ansible.
• Familiarity with Tableau and the ability to troubleshoot and optimize Tableau-related backend performance issues.
• Knowledge of data warehousing concepts and experience participating in architecture planning.

A Best Place to Work in Indiana since 2015