Data Engineer
| Company | Calm |
|---|---|
| Location | San Francisco, CA, USA, Los Angeles, CA, USA, New York, NY, USA, Minneapolis, MN, USA |
| Salary | $147000 – $210000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 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 rigor
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