Data Engineer II

Role Overview

You’ll join a dynamic team as a Data Engineer / Data Analyst (Data Engineer II), owning end-to-end data projects—from raw data ingestion through to actionable insights delivered via dashboards and automated reports.

You’ll work cross-functionally with operations, revenue cycle, marketing, sales, provider success, and product teams across the US and UK, influencing decisions around operational efficiency and strategic initiatives.

Responsibilities

• Build, maintain, and optimize dbt models to transform raw source data into reliable analytical assets.
• Collaborate with stakeholders to translate needs into clear analytical data solutions.
• Design, develop, and deploy Tableau dashboards and automated reports to replace manual reporting.
• Identify data coverage gaps and develop pipelines/model new data sources (independently or with engineering).
• Ensure data quality and integrity using tests, anomaly monitoring, and documentation.
• Contribute to analytical infrastructure (e.g., macros, source definitions, CI/CD practices).
• Participate in data projects such as pipeline development, feature engineering, and predictive modeling.
• Automate recurring manual reporting to improve operational efficiency.
• Build a strong understanding of business operations and KPIs within 90 days.

Requirements

• Strong SQL skills, including writing complex queries and optimizing performance.
• Hands-on experience with dbt (or SQLMesh) for data transformation.
• Experience with cloud data warehouses such as Snowflake (or BigQuery).
• Proficiency with BI tools, especially Tableau (also mentioned: Metabase, Sigma, Omni).
• Knowledge of data ingestion pipelines and scripting with Python and pandas.
• Understanding of data modeling, testing, and documentation best practices.
• Ability to translate business questions into analytical solutions.
• Experience scoping and delivering work with non-technical stakeholders.
• Familiarity with CI/CD in data transformation workflows.
• AI-native mindset, including experience building or prototyping AI/ML solutions.
• Strong problem-solving and ability to work in a fast-paced, ambiguous environment.

Nice to Haves

• Startup experience and healthcare industry knowledge.

Benefits

• Competitive salary with performance-based bonuses and equity options.
• 401(k)
• Comprehensive healthcare, vision, and dental insurance.
• Necessary equipment provided (partial statement in posting).