Staff Data Engineer

December 20, 2024

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Wellth

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Wellth is the first daily care motivation platform that leverages behavioral science to help individuals establish and maintain healthy daily behaviors. The platform focuses on improving medication adherence and healthcare engagement, particularly for Medicare Advantage, Medicaid, ACA, and other healthcare providers. By using techniques rooted in behavioral economics, Wellth engages hard-to-reach populations to enhance health outcomes, reduce healthcare costs, and achieve higher quality care metrics. The company operates using a reward-based system to motivate daily adherence to health care plans, which ultimately benefits both individuals and health organizations through decreased utilization and improved health metrics.

Healthcare Technology • Medication Adherence • Behavioral Economics • Patient Incentives • Provider Technology

51 - 200 employees

⚕️ Healthcare Insurance

🧘 Wellness

☁️ SaaS

💰 $1.5M Series A on 2020-06

📋 Description

• As a Staff Data Engineer, you will design and implement scalable systems that process and standardize healthcare data, enabling advanced analytics and predictive modeling to support Wellth’s mission of driving daily healthy habits. • You'll lead the creation of foundational data layers, ensuring high data quality, accessibility, and consistency, while collaborating across teams to align data strategies with business objectives. • This role offers the opportunity to work with diverse datasets such as claims, EHRs, and lab data, shaping scalable solutions that solve mission-critical problems. • We’re looking for a seasoned data engineering professional with extensive healthcare experience, expertise in building robust data systems, and proficiency in tools like SQL, Python, DBT, and orchestration frameworks. • You’ll thrive in this role if you’re passionate about solving complex challenges, mentoring engineers, and driving innovation in a collaborative, dynamic environment.

🎯 Requirements

• 7+ years of professional experience as an analytics engineer or data analyst in the healthcare sector, with hands-on experience with sensitive claims data, patient data, and other healthcare data sets. • Experience developing analyses offering strategic insights on quality metrics, CMS measures, and ROI. • Expert familiarity with healthcare data standards and experience working with various healthcare data sets (claims, EHR, clinical, labs, etc.). • Experience working with HEDIS measure reporting and a familiarity with Star Ratings in Medicare Advantage. • Fluency in evolving healthcare industry standards, analytics techniques, and best practices, applying them to analytical methods that drive more meaningful insights. • Advanced proficiency in writing clean and maintainable SQL, Python, and shell scripts for automation, analysis, and ETL using industry best practices. • Proven ability to design and implement advanced, customer-facing data visualizations. • Proficiency in developing, executing, and maintaining dbt models. • Experience working on software development teams, including proficiency with Git for collaborating via pull/merge requests and knowledge of agile and scrum methodologies. • Proficiency in analyzing and using database schemas and data dictionaries. • Knowledge of Redshift, BigQuery, and other data warehouse infrastructure. • Knowledge of orchestration frameworks such as Airflow, Fivetran, or Flyte.

🏖️ Benefits

• Flexible working arrangements, supporting strong remote-first practices and tools with the option to work in our excellent gathering space in Marina Del Rey. • Robust paid time off and generous parental leave program. • Competitive salary & commission structure. • Health, dental, vision insurance, and FSA/HSA plans. • Ability to have a positive impact on people who need it most. • Support of a highly dedicated team focused on building the future of healthcare.