Senior Data Engineer

Calm; San Francisco, Los Angeles (CA, CA); Remote; USD 174,000 - 234,000; Full time

Job summary

Calm is seeking a Senior Data Engineer to leverage data for product development and business insights. This role involves collaborating with various teams, building scalable data pipelines, and mentoring junior engineers. The ideal candidate will have strong technical skills, particularly in Python and cloud technologies, and a passion for making data-driven decisions.

Benefits

Equity

Comprehensive benefits

401k

Flexible time off

Qualifications

• 8+ years of related experience.
• Experience in designing and building scalable data pipelines.
• Strong communication skills with technical and non-technical stakeholders.

Responsibilities

• Work with business stakeholders to understand goals and challenges.
• Identify opportunities and build solutions for data standardization.
• Develop, mentor, and train data engineers.

Skills

Python

Docker

Kubernetes

GCP

AWS

Job description

About Calm

Calm is a leading consumer mental health company on a mission to support everyone on every step of their mental health journey. Known for its flagship consumer app—ranked #1 in its category with over 180 million downloads and availability in seven languages across 190 countries—Calm helps people sleep better, stress less, and live more mindfully through content and tools from experts and beloved celebrity voices. Building on this foundation, Calm has created a broader portfolio including evidence-based solutions likeCalm Health , offered through employers, health plans and providers, designed to expand access to mental health and sleep support, boost benefits engagement, and drive positive health outcomes. Today, Calm supports more than 3,500 organizations and reaches over 17 million covered lives through Calm Health. Calm has been recognized as aTIME100 Most Influential Company and one ofFast Company’s Brands That Matter . Learn more atcalm.com .

What We Do

As 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.

We are hiring remote workers for this role in the San Francisco Bay Area, Los Angeles, Minneapolis, MN or NYC areas. At this time, only candidates in these locations will be considered.

What You’ll Do

We’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 Senior 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, Redshift, BigQuery, Postgres, Spark, and dbt. Specifically, you will:

• 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

Some 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%
• Setting up scalable APIs to 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
• 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

Nice to Haves

• Experience building across clouds
• Experience with CDPs like Segment and Amplitude
• Some experience in Infrastructure as Code tools like Terraform
• This role typically requires 8+ years of related experience

Calm 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 $174,000 - $234,000. 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.

Please note that Calm may leverage artificial intelligence technology in the application review process.

Calm is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you require a reasonable accommodation to complete any part of the application or interview process, please contact Calm’s Recruiting team [e-mail] . All accommodation requests will be handled confidentially and assessed on a case-by-case basis.

We believe that mental health is health, and every person should be considered in the discussion. That’s why we’re proud to be an equal opportunity workplace, committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

Calm is deeply committed to diversity, equity and inclusion. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination.

Employment offers are contingent upon the successful completion of a background check. Roles which require access to certain types of information may also require the successful completion of a drug screening.

FOR US BASED POSITIONS: Calm participates in e-verify. E-verify provides the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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Calm is proud to be an equal opportunity workplace, committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state, or local law.

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