Senior Data Engineer I
$119.6k - $201kSamsara
Role Description
Samsara is seeking a Senior Data Engineer to join our Data team, comprising both Data Scientists, Data Analysts, and Data Engineers. Our team is at the forefront of enhancing data analysis efficiency and effectiveness. Our data engineers develop and maintain data pipelines integral to our analytics data model.
As a Senior Data Engineer, your primary responsibility will be designing and maintaining data pipelines, primarily utilizing SparkSQL and Pyspark, within our central data lake. These pipelines are crucial for ingesting and transforming source data from our IoT devices and software products into our core data model, facilitating statistical analysis, model training, and dashboard creation.
This is a remote position open to candidates residing in the US. Relocation assistance will not be provided for this role.
Qualifications
- BA / MS degree in Computer Science, Statistics, or a related discipline.
- 4+ years experience in a data engineering-focused role.
- Demonstrated experience in designing data models at scale.
- Proficiency in building ETL pipelines to handle large volumes of data.
- Experience with Spark-based data platforms.
- Strong command of at least one data orchestration tool (e.g Airflow, Dagster, or Prefect).
- Expertise in SQL, Python, and working with REST APIs.
- Familiarity with software engineering fundamentals and reading backend development code.
- Experience with version control systems such as Git/GitHub.
Requirements
- Familiarity with time series data and late-arriving data.
- Knowledge of Databricks, Delta Lakes, and Dagster.
- Previous experience working in a public cloud (e.g AWS, GCP, Azure).
- Exposure working on a data model for a product’s first-party data.
- Exposure to complex data, including ML outputs and/or client-side signals.
Benefits
- Annual Base Salary: $119,595 — $201,000 USD.
- Above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles).
- Flexible, employee-led remote model.
- Professional development stipend.
- Comprehensive health and parental leave plans.
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