Data Engineer

Summary

Join Calm as a Data Engineer and leverage your expertise in data pipelines, warehousing, and cloud technologies to support our mission of improving mental well-being. You will collaborate with stakeholders to build data solutions, ensuring data quality and accessibility. This role requires proficiency in Python, SQL, and cloud platforms (AWS/GCP), along with experience in designing scalable data pipelines. You will work in a fast-paced, agile environment, contributing to projects that impact millions of users. The position offers a competitive salary, equity, comprehensive benefits, 401k, and flexible time off. Calm is committed to diversity, equity, and inclusion, fostering a respectful and supportive work environment.

Requirements

• Demonstrated experience with Python
• Demonstrated experience with Docker
• Demonstrated experience with Kubernetes
• Demonstrated experience with GCP and/or AWS
• Demonstrated experience with Relational DBs / SQL
• Demonstrated experience with 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 rigor
• This role typically requires 5+ years of related experience

Responsibilities

• 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 analysis

Preferred Qualifications

• 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 Terraform

Benefits

• Equity
• Comprehensive benefits
• 401k
• Flexible time off