Drimva

Samsara

Data Engineer

$99K–$167K

Remote - US +1 · Remote · Full-time · Posted Oct 5, 2026

Location
Remote - US
Remote - SF Bay Area
Experience
4+ years in a data engineering-focused role.
Education
BA / MS degree in Computer Science, Statistics, or a related discipline.
Visa sponsorship
Offers are contingent on the ability to secure and maintain the legal right to work at the company and in the specified work location.

About the job

Designs and maintains data pipelines that transform IoT, product, and external data into reliable datasets for analytics, machine learning, and dashboards.

What you'll do

  • Build and maintain reliable computed tables using data from varied sources, including unstructured data.
  • Integrate external datasets with internal data and deliver high-quality datasets with strong uptime and reliability.
  • Collaborate with Data Science, Analytics, AI/ML, and engineering teams to support analysis, model training, and dashboards.

What they ask for

  • BA / MS degree in Computer Science, Statistics, or a related discipline.
  • 4+ years experience in a data engineering-focused role.
  • Experience designing data models at scale and building ETL pipelines for large volumes of data; experience with Spark-based data platforms.
  • Expertise in SQL, Python, and REST APIs; command of a data orchestration tool; familiarity with software engineering fundamentals and Git/GitHub.

Nice to have

  • Familiarity with time series and late-arriving data; knowledge of Databricks, Delta Lakes, and Dagster.
  • Public cloud experience, product first-party data modeling, or exposure to complex data such as ML outputs and client-side signals.

Pay

$99,365 — $167,000 USD (base salary)

Tools

SparkSQL, Pyspark, Airflow, Dagster, Prefect, SQL, Python, REST APIs

AI focus

Data pipelines provide data for statistical analysis and model training, in collaboration with AI/ML teams.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)