Data Engineer

Company: Calm
Location: San Francisco
Posted on: January 30, 2025

Job Description:

What We DoAs a data organization, we focus on making data a competitive advantage for Calm. We're product-minded, team-oriented, and grounded in our mission of making the world a happier and healthier place. We work closely with teams across the company such as product, finance, marketing, data science, and more. As a team, we strive to always improve.What You'll DoWe're looking for someone who is comfortable with ambiguity, assesses what needs to be done, and delivers with the right balance of velocity and technical debt. As a Data Engineer, you'll leverage all sorts of data, from application event streams to product databases to third-party data, to help stakeholders create products and answer business questions. Our stack spans AWS and GCP, with technologies like Airflow, Databricks, BigQuery, Postgres, and dbt. Specifically, you will:

• Work with business stakeholders to understand their goals, challenges, and decisions
• Assist with building solutions that standardize our data approach to common problems across the company
• Incorporate observability and testing best practices into projects
• Assist in the development of processes to ensure our data is trusted and well-documented
• Effectively work with data analysts on refining the data model used for reporting and analytical purposes
• Improve availability and consistency of data points crucial for analysisSome past projects include:
• Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpoints
• Creating a user-level feature store and related API endpoints to support machine learning tasks such as content recommendation and persona creation
• Remodeling a critical data pipeline to decrease our model count by 50% and reduce run time by 83%
• Integrate our Data Warehouse with 3rd party applications for personalization that reaches tens of millions of customers
• Revamping orchestration and execution to reduce critical data delivery times by 70%Skills and Qualifications (Who You Are)

• Demonstrated experience with the following languages/technologies/frameworks (or equivalents):
  • Python
  • Docker
  • Kubernetes
  • GCP and/or AWS
    • Relational DBs / SQL
    • Data Warehouses and Lakes, such as Bigquery, Databricks, or Snowflake
      • Experience in designing and building data pipelines that scale
      • Strong communication skills, with the ability to convey technical solutions to both technical and non-technical stakeholders
        • Experience working effectively in a fast-paced, agile environment as part of a collaborative team
        • Ability to work independently and as part of a team
        • Willingness and enthusiasm to learn new technologies and tackle challenging problems
          • Pragmatism: balancing scrappiness and rigorNice to Haves
            • Experience building across clouds
            • Experience with streaming systems like Segment
            • Knowledge of different data modeling paradigms, e.g. relational, data vault, and medallion
            • Some experience in Infrastructure as Code tools like TerraformMinimum Requirements
              • This role typically requires 5+ years of related experienceCalm uses a geographic pay model that determines salaries based on the location where an employee lives. For this position, the base pay ranges across Calm's pay tiers is $130,000 - $210,000. The base pay range represents the low and high end of Calm's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which include the successful candidate's geographic location, skills, experience, and other qualifications. Calm uses employee zip code to determine which pay range applies. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off.
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Keywords: Calm, Rancho Cordova , Data Engineer, Engineering , San Francisco, California