Customer Data Engineer (Canada- Remote)

The role

As a Customer Data Engineer, you will deploy data models to our customers’ data environments and work with those customers to ensure they can quickly and easily work with our data and derive value from it.  In this role, you will use your expertise in data infrastructure and data modelling to design, build, maintain and optimize our data warehouse to provide clean and robust data sets to both internal and external stakeholders. You will be working closely with backend developers to understand our data at its source, as well as with data analysts and product managers to understand our products and features, and downstream uses of our data models.  

People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you understand the business impact of your work on customer satisfaction and retention and enjoy measuring and presenting it in the context of customer value. You enjoy working with product management and other stakeholders to find the best solution to enhance the customer experience, iterate over it, and can balance technical complexity with delivering direct and measurable customer value.

Our platform and applications run on Google Cloud. You will be working on building infrastructure for real-time and batch pipelines to ingest and transform data from a variety of sources with a focus on customer interactions, feedback, and usage patterns. You will have an opportunity to experiment with new frameworks and paradigms, and freedom to put cutting-edge tech in production to shape the future of customer engagement and satisfaction in digital health!

Meet the Team

Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.
In this role, you will:

• 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

Who you are:

• 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.

What you bring:

• 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

Nice To Have Experience

• 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

What we offer

• The Application Process:
  We believe applying for a job should be straightforward and transparent. Here’s what to expect:

  1. Submit Your Application: You’ll receive a confirmation email right away.
  2. Hiring Manager interview: Discuss your experience, skills, and motivations relevant to the specific job requirements
  3. Talent Interview: Learn more about our culture, get alignment on your compensation expectation prior to committing to next steps
  4. Meet the Data Team: Dive into technical discussions and learn how you can make an impact at League.
  5. Final Steps: Meet our cross-functional team and the Executive leader and share experiences on collaboration and alignment with company values and strategic goals
  6. Offer and onboarding!

  We value your time and effort—our team is committed to providing updates throughout the process.

Security-related responsibilities

• Compliance with Information Security Policies
• Compliance with League’s secure coding practice
• Responsibility and accountability for executing League's policies and procedures
• Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations