Senior Software Engineer – Data Platform

About Zywave

Zywave is a global leader in building market-leading SaaS products that transform and disrupt the insurance industry. With our innovative solutions, we empower brokers and agencies with cutting-edge tools for client engagement, analytics, and growth. Our culture thrives on innovation, collaboration, and continuous improvement, and we are expanding our Product Development team to drive our next wave of growth.

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Experience: 5

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About the Role

Zywave is looking for a highly skilled Senior Software Engineer (Data Platform) to join our Data Engineering team. In this role, you will design, build, and optimize scalable data pipelines, develop transformation logic, and enable reliable data flow across our global products and analytics platforms. You will collaborate with cross-functional engineering, product, and cloud teams to deliver high-quality, production-ready data solutions.

Key Responsibilities

1. Design, develop, and maintain scalable and secure data pipelines and transformation workflows.
2. Work with Snowflake, DBT, Python, and SQL to build robust data models and reusable components.
3. Implement version control, branching, and CI/CD best practices using Git.
4. Optimize data ingestion, transformation, and storage for performance, scalability, and cost efficiency.
5. Collaborate with product managers, data analysts, and engineering teams to translate business requirements into technical solutions.
6. Conduct code reviews, enforce best practices, and mentor junior engineers when required.
7. Troubleshoot data quality issues, pipeline failures, and performance bottlenecks.
8. Contribute to improving data governance, documentation, and engineering standards.

Must-Have Skills

1. Strong experience in Snowflake (data warehousing, Snowflake SQL, performance tuning)
2. Hands-on expertise with DBT (Data Build Tool)
3. Solid programming skills in Python
4. Advanced proficiency in SQL (query optimization, data modeling)
5. Experience with Git and version-control workflows
6. Background in building and maintaining data pipelines in production environments

Nice-to-Have Skills

1. Azure Data Factory
2. ETL tools and pipeline orchestration frameworks
3. AWS Glue
4. Experience with BI tools: Tableau, Power BI
5. Understanding of Prompt Engineering / AI-assisted workflows

Education

1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (preferred)

Why Join Zywave?

1. Work on global-scale SaaS data products
2. Collaborative team environment with strong engineering culture
3. Opportunity to contribute to modern cloud-native data platform initiatives
4. Hybrid work model with flexibility and growth opportunities