Mid-level and Senior Data Engineers

• Work with cross-functional stakeholders to identify data consumption use cases related to product analytics, metrics tracking, experimentation, system monitoring, and ML feature generation
• Drive the health data warehouse roadmap with an eye for ROI
• Contribute to the decision-making processes, and ML initiatives
• Own production ETL pipelines throughout the entire life cycle
• Deliver infrastructure to enable Data Science and Machine Learning workflows (Databricks, MLFlow, etc.)
• Come up with project plans and define team priorities based on business needs and technology strategy
• Define data governance requirements (data access and privacy PII, retention, etc.)
• Contribute to the continuous improvement of team processes and tooling
• Participate in recruiting, interviewing, mentoring, and coaching

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience as a Data Engineer
• Effective written and verbal communication
• Expertise in SQL
• Proficiency in one or more object-oriented programming languages (Python, Java, Scala, etc.)
• Strong experience in data schema design and enterprise data warehousing
• Familiarity with AWS, Snowflake, and Databricks is a plus
• Experience with large-scale distributed data systems is a plus
• Genuine excitement for the speed of startups is an advantage