As Data Engineering Lead, you will own SuperDial’s data platform end-to-end. You will be responsible for scaling the warehouse, pipelines, and analytics workflows that power product decisions, go-to-market execution, and company-wide planning.

This role is ideal for someone with a strong analytics engineering foundation who has grown into data platform ownership and wants to operate as a true lead, leveraging data analytics and insights proactively to help shape the direction of SuperDial.

About the Role:

• Own and scale SuperDial’s data warehouse and analytics stack

• Lead development of robust dbt-based transformation layers that power trusted metrics

• Design and maintain data pipelines that integrate product, GTM, and platform data

• Manage and evolve data engineering workflows, orchestration, and dependencies

• Partner with platform and product teams to support operational and analytical data needs, including performance-intensive use cases

• Build clean, well-documented data models that serve as the source of truth across the business

• Create high-impact dashboards and analyses that inform revenue, product usage, and customer behavior

• Implement data quality checks, monitoring, and alerting to ensure reliable, decision-ready data

• Establish best practices for modeling, testing, and analytics development as the company scales

30 / 60 / 90 Day Expectations

30 Days

• Ramp on SuperDial’s product, data sources, and existing warehouse

• Audit current dbt models, pipelines, orchestration, and reporting

• Understand platform data needs and performance considerations

• Ship early improvements to data quality, reliability, or documentation

• Build strong relationships with Product, Platform, GTM, and Finance

60 Days

• Take full ownership of the data warehouse and analytics workflows

• Improve or refactor core dbt models to support consistent metrics

• Strengthen orchestration, testing, and monitoring across pipelines

• Partner with engineering teams on platform-oriented data use cases

• Deliver dashboards or analyses that materially improve decision-making

90 Days

• Establish a scalable data architecture and analytics engineering strategy

• Proactively identify gaps in data availability, quality, or performance

• Improve reliability and maintainability of data workflows end-to-end

• Act as the go-to owner for data strategy and execution

• Lay the groundwork for future platform-oriented or high-scale data systems

About You:

• 2+ years of experience in Analytics Engineering, Data Engineering, or BI Engineering roles

• Deep hands-on experience with dbt, especially incremental models, and modern analytics engineering workflows

• Very strong SQL skills and a track record of designing durable data models

• Prior ownership of a production data warehouse in a scaling environment

• Experience managing data pipelines, orchestration, and workflow dependencies

• Proficiency with Python and orchestration tools such as Airflow or similar

• Familiarity with cloud data platforms and infrastructure, and NoSQL databases (like Google Cloud Firestore, Mongo, etc.)

• Experience working with high-performance or specialized data systems (e.g., ClickHouse or similar) is a plus

• Strong ownership mindset with comfort driving ambiguous initiatives end-to-end

• Clear communication skills and ability to partner with technical and non-technical stakeholders

Why SuperDial

• True ownership over the company’s data and analytics foundation

• High-impact role influencing product, platform, and GTM strategy

• Small, high-caliber team solving meaningful problems in healthcare

• Competitive compensation and meaningful equity

• Opportunity to shape and grow the data function over time

Who we are:
SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. Join us and help shape the future of AI in healthcare!

The base salary for this role ranges from $185,000-$240,000, depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications - we’re always open to exceptional talent.