Customer Data Engineer

Summary

Join League as a Customer Data Engineer and contribute to building next-generation healthcare consumer experiences. You will deploy data models to customer data environments, ensuring they can easily utilize and derive value from our data. This role involves designing, building, maintaining, and optimizing our data warehouse to provide clean and robust data sets for internal and external stakeholders. You will collaborate closely with backend developers, data analysts, and product managers to understand data sources, products, features, and downstream data model uses. This position requires strong problem-solving skills, effective communication, and the ability to work in a fast-paced environment with multiple tasks and varying degrees of ambiguity. You will be working with a team that manages an internal Business Intelligence product, leveraging a SQL-based ETL to surface key performance indicators company-wide within Looker.

Requirements

• Ability to articulate tradeoffs of technical decisions in the context of customer impact and business value, and influence stakeholders towards customer-centric solutions
• You are a strong problem solver and can communicate the challenges and solutions effectively
• You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
• You proactively document questions from stakeholders and create guides/documents that respond to patterns of questions that come up frequently
• You drive to learn and master new technologies and techniques
• You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines with varying degrees of ambiguity
• You are eager to learn from others and help others grow with you
• Python, GoLang, and SQL and experience working with a modern ETL framework and orchestration engine (DBT, Airflow, etc)
• Experience working as a data engineer, analytics engineer, data analyst or data scientist
• Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience

Responsibilities

• Support work on data integrations and data ingress infrastructure for League’s customers including the configuration of our data models based on the customer’s feature set
• Communicate directly with customers to coordinate product launches, as well as ongoing support with issues and questions about our data models
• Collaborate with product and engineering teams to ensure that the impact on data sources and data models is considered during product development
• Support data analysts, data scientists and product managers by understanding how they will be working with our data and adjust designs accordingly
• Develop best practices for data model design and documentation, and promote the use of these practices by other members of the data team
• Build strong relationships with both internal stakeholders and with customers
• Identify opportunities for technical investments to help teams meet business objectives

Preferred Qualifications

• Data analysis and data manipulation in Python (Pandas, PySpark, etc)
• Healthcare industry experience, especially working with FHIR or EMRs
• Worked with a SaaS company on customer facing data products
• Backend Software Engineering experience and understanding

Benefits

• Comprehensive Health Benefits: We prioritize your well-being with complete medical, dental, and vision coverage
• Bonus Program: Be rewarded for your contributions with our performance-based bonus program
• Employee Stock Option Program: Become an owner and share in our success through our stock option program
• Unlimited Paid Time Off: Take the time you need to recharge and maintain a healthy work-life balance
• Spending Accounts: Manage your healthcare and dependent care expenses with tax-advantaged spending accounts
• Wellness Days: Prioritize your mental and physical health with dedicated wellness days throughout the year
• Growth Opportunities: We invest in your future with abundant opportunities for professional development and advancement
• Mentorship Program: Benefit from guidance and support from experienced leaders in your field
• Flexible Ways of Working: Enjoy the freedom to work in a way that suits your life and boosts your productivity