Senior Data Engineer

Summary

Join Calm, a leading mental health company, as a Senior Data Engineer and leverage your expertise in building and scaling data pipelines. You will collaborate with stakeholders to understand their needs, identify opportunities to standardize data approaches, and build solutions to address common company-wide problems. This role involves working with various data sources, technologies (AWS, GCP, Airflow, Redshift, BigQuery, Postgres, Spark, and dbt), and teams across the organization. You will also play a key role in mentoring and developing other data engineers. The position is remote, but candidates must be located in the San Francisco Bay Area, Los Angeles, Minneapolis, MN, or NYC. Calm offers a competitive salary, equity, comprehensive benefits, 401k, and flexible time off.

Requirements

• Demonstrated experience with the following languages/technologies/frameworks (or equivalents): Python
• Docker
• Kubernetes
• GCP and/or AWS
• 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
• Knowledge of different data modeling paradigms, e.g. relational, data vault, and medallion
• Pragmatism: balancing scrappiness and rigor
• This role typically requires 8+ years of related experience

Responsibilities

• Work with business stakeholders to understand their goals, challenges, and decisions
• Identify opportunities and build solutions that standardize our data approach to common problems across the company
• Evangelize the use of data-driven decision making across the organization
• Build processes to ensure our data is trusted and well-documented
• Partner with data analysts on refining the data model used for reporting and analytical purposes
• Collaborate with engineering on improving availability and consistency of data points crucial for analysis and represent data team in architectural discussions
• Develop, mentor and train data engineers

Preferred Qualifications

• Experience building across clouds
• Experience with CDPs like Segment and Amplitude
• Some experience in Infrastructure as Code tools like Terraform

Benefits

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