[Hiring] Senior Data Engineer @Wellbe Senior Medical

Role Description

As a Senior Data Engineer at WellBe you will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. You will collaborate with cross-functional teams, including data scientists and business analysts, to develop data pipelines, create interactive dashboards, and implement analytical solutions. This position requires a blend of technical expertise, creativity, and a keen understanding of business processes. You will supervise a team of Data Engineers, Data Integration Specialists and Data Analysts to build scalable, robust analytics systems to solve complex healthcare challenges.

Qualifications

• Bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a related field. Master's degree preferred.
• 7+ years of experience in data and analytic engineering, with a track record of progressively increasing responsibilities.
• 3 years of experience in health care and health plan data analysis experience preferred.
• Proficiency in using data processing frameworks (e.g., Snowpipe, Fivetran), databases (e.g. Snowflake, MSSQL) and GCP cloud.
• Experience with ETL tools such as SSIS, Talend, DataFlow, ADF or AWS Glue required.
• Experience with CI/CD Terraform or DevOps required.
• Snowflake data processing with Tasks and Procedures, DBT and GIT experience required.
• Experience building API data ingestion pipeline using Python in cloud service required.
• Knowledge of machine learning concepts and algorithms is a plus.
• Strong leadership and team management skills, with the ability to motivate and develop team members.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments.

Requirements

• Evaluate and implement data integration technologies and tools to ensure seamless data flow and interoperability.
• Implement processes to monitor and improve data quality through regular data cleansing, validation, and enrichment activities.
• Work closely with analytics teams to define data requirements and create a data quality framework that supports advanced analytics, reporting, and visualization.
• Foster a data-driven culture by promoting the use of data insights to drive business decisions and innovation.
• Lead and mentor a team of data professionals, providing guidance, performance evaluations, and professional development opportunities.
• Foster a collaborative and inclusive work environment that encourages knowledge-sharing and innovation.
• Advanced knowledge of Enterprise Reporting and Analysis tools, SQL, and visual analytic applications.
• Implement best practices for data governance and ensure data security and compliance.
• Fluency in SQL, DBT and Snowflake. Some development experience in at least one scripting language (Python, R, etc.) is a plus.
• Strong sense of ownership, bias for action, and drive.
• Strong verbal and written communication.
• Excellent analytical and problem-solving skills.
• Strong work ethic and attention to detail.

Benefits

• Pay range: $105,000 - $150,000 based on experience.
• Remote work environment with potential travel up to 15% locally or nationally.