Senior Software Engineer

Summary

Join Pomelo Care's Core Data team as a Senior Software Engineer to build and scale data infrastructure. Lead the design and development of robust, scalable data infrastructure using dbt, Dagster, Beam, and Dataflow. Mentor other engineers and collaborate with various teams to understand data needs. Build and maintain data pipelines, write efficient SQL and Python code, and architect data models. Optimize data processing workflows for performance and cost-effectiveness. This role requires a seasoned data engineer with 5+ years of experience in building scalable data systems and pipelines.

Requirements

• Have 5+ years of experience building high-quality, scalable data systems and pipelines
• Have expert-level proficiency in SQL and Python, with a deep understanding of data modeling and transformation best practices
• Have hands-on experience with dbt for data transformation and Dagster, Beam, Dataflow or similar tools for pipeline orchestration
• Have experience with modern data stack tools and cloud platforms, with a strong understanding of data warehouse design principles
• Have a track record of delivering elegant and maintainable solutions to complex data problems that drive real business impact

Responsibilities

• Build and maintain elegant data pipelines that orchestrate ingestion from diverse sources and normalize data for company-wide consumption
• Lead the design and development of robust, scalable data infrastructure that enables our clinical and product teams to make data-driven decisions, using dbt, Dagster, Beam and Dataflow
• Write clean, performant SQL and Python to transform raw data into actionable insights that power our platform
• Architect data models and transformations that support both operational analytics and new data-driven product features
• Mentor other engineers, providing technical guidance on data engineering best practices and thoughtful code reviews, fostering a culture of data excellence
• Collaborate with product, clinical and analytics teams to understand data needs and ensure we are building infrastructure that unlocks the most impactful insights
• Optimize data processing workflows for performance, reliability and cost-effectiveness

Preferred Qualifications

• Have experience building data infrastructure that supports AI/ML workloads or real-time analytics
• Have previously worked in a fast-paced, product-oriented environment where data drives key decisions
• Have experience with healthcare data, including understanding of data privacy and compliance requirements

Benefits

• Competitive healthcare benefits
• Generous equity compensation
• Unlimited vacation
• Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)