Data Engineer

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Apply for positions that match your skills##### Data Engineer Calm is dedicated to guiding individuals through every stage of their mental well-being journey. As the leading app for sleep, meditation, and relaxation, Calm provides a growing collection of science-backed digital mental health programs, offering reliable support for both individuals and organizations. The flagship app delivers tailored content and activities—featuring expert insights and well-known voices—to help users reduce stress, enhance sleep, and cultivate mindfulness.

For workplaces and healthcare providers, Calm offers accessible, clinically validated resources that comply with HIPAA, fostering better health and organizational results. Recognized as one of TIME’s 100 Most Influential Companies, Calm serves over 150 million people and 3,500 organizations worldwide, supporting seven languages across 190 countries.###
** Our Data Team
** As a data-driven organization, we turn data into a strategic asset for Calm. Our team is product-focused, collaborative, and aligned with our mission to promote global happiness and health. We partner closely with cross-functional teams, including product, finance, marketing, and data science, continuously striving for improvement.###
** Your Role
** We seek a proactive Data Engineer who thrives in ambiguity, identifies key priorities, and delivers solutions balancing speed and sustainability. You’ll work with diverse data sources—application events, product databases, and third-party data—to empower stakeholders in product development and business decision-making. Our tech stack spans AWS and GCP, utilizing tools like Airflow, Databricks, Big Query, Postgres, and dbt.
*
* Key Responsibilities:

*** Collaborate with stakeholders to understand objectives, challenges, and decision-making needs
* Develop standardized data solutions to address common organizational challenges
* Implement observability and testing best practices in projects
* Establish processes to ensure data reliability and comprehensive documentation
* Partner with analysts to refine reporting and analytical data models
* Enhance data availability and accuracy for critical analysis
** Past Projects:
*** Built a Big Query reporting system from scratch, including data replication, infrastructure setup, dbt modeling, and reporting integrations
* Developed a user-level feature store with API endpoints to support ML tasks like content recommendations and persona creation
* Optimized a core data pipeline, cutting model count by 50% and runtime by 83%
* Integrated our Data Warehouse with third-party apps to personalize experiences for millions of users
* Redesigned orchestration to reduce critical data delivery times by 70%###
** Skills & Qualifications
**** Technical Expertise:
*** Proficiency in Python, Docker, Kubernetes, GCP/AWS, SQL, and data warehouses (Big Query, Databricks, Snowflake)
* Experience designing scalable data pipelines
* Strong communication skills, translating technical concepts for diverse audiences
* Ability to thrive in a fast-paced, agile team environment
* Self-motivated with a passion for learning and problem-solving
* Pragmatic approach, balancing efficiency and precision
** Nice-to-Haves:
*** Multi-cloud experience
* Familiarity with streaming systems (e.g., Segment)
* Knowledge of data modeling paradigms (relational, data vault, medallion)
* Exposure to Infrastructure as Code (e.g., Terraform)
*
* Minimum Requirements:

*** 5+ years of relevant experience###
** Compensation & Benefits
** Calm follows a location-based pay structure, with salaries adjusted to the employee’s geographic region. For this role, the base salary ranges from
** 147,000to147,000
* to*210,000**, depending on qualifications, experience, and location. Compensation also includes equity, comprehensive benefits, a 401(k) plan, and flexible time off.###
** Inclusion & Accessibility
** Calm is an equal opportunity employer, committed to fostering a diverse, equitable, and inclusive workplace. We welcome applicants of all backgrounds and provide reasonable accommodations for individuals with disabilities or special needs during the application and interview process.
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