Snowflake Data Engineer
About This Role
Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Data Engineer to join our innovative and dynamic team. Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for transforming complex, raw data into trusted, authoritative sources that power analytics and business decision‑making. You thrive in fast‑paced, agile environments and enjoy designing scalable data solutions that integrate across cloud platforms. You bring strong expertise in Snowflake, Azure, SQL, and ETL development, and you’re comfortable working across the full data lifecycle, from ingestion through analytics enablement. You collaborate effectively with technical and business stakeholders to deliver high‑quality, reliable data products. You also bring a strong passion for AI‑assisted development and modern “vibe coding,” actively leveraging intelligent tools to accelerate development, improve code quality, and explore innovative data engineering patterns. Snowflake Data Engineer | Day-to-Day Design, build, and maintain scalable, reliable data pipelines using Snowflake, Azure, and modern ETL frameworks. Develop and optimize SQL‑based transformations and data models that support enterprise reporting, analytics, and data products. Partner with business, analytics, and engineering teams to create authoritative data sources that enable self‑service analytics and commercialization. Support and enhance data integration processes, including modernization of legacy ingestion and transformation workflows. Collaborate with BI and analytics teams to enable reporting and self‑service analytics using platforms such as Power BI or Sigma, ensuring data accuracy and accessibility. Participate in Agile delivery practices using tools such as Jira and ServiceNow, contributing to planning, documentation, and continuous improvement. Actively apply AI‑powered coding tools and automation techniques to streamline development workflows, improve efficiency, and experiment with emerging capabilities. Snowflake Data Engineer | Skills & Experience 5+ years of experience in data engineering, data architecture, or a related technical discipline. Strong hands‑on experience with Snowflake, including data modeling, performance optimization, and large‑scale transformation workloads. Required expertise in Azure, SQL, and ETL development, supporting cloud‑based data platforms and integrations. Experience designing, building, and maintaining enterprise‑grade data pipelines and transformation frameworks. Familiarity with Agile methodologies and tools such as Jira and ServiceNow. Experience supporting analytics and reporting platforms such as Power BI or Sigma, with an understanding of self‑service analytics principles. AI‑assisted development experience is required, including hands‑on use of tools such as Claude Code, GPT‑based assistants, Cursor, Kizer, or similar technologies to enhance productivity and innovation. Experience working with healthcare or regulated industry data is a strong plus, including awareness of data quality, governance, and sensitivity considerations. A Best Place to Work in Indiana since 2015
Responsibilities
Design, build, and maintain scalable data pipelines using Snowflake and Azure to transform raw data into authoritative sources. Collaborate with cross-functional teams to enable self-service analytics and modernize legacy data integration workflows.
Requirements
Requires 5+ years of experience in data engineering with strong expertise in Snowflake, Azure, SQL, and ETL development. Candidates must have experience with Agile methodologies and hands-on proficiency in AI-assisted coding tools.
Skills & Tags
Keywords
Categories
Source: breezy