Senior Data Engineer

🕒 June 23

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $118.1k - $178.7k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Samsara

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

📦 Logistics

🏗️ Construction

🏥 Healthcare

💰 Seed Round on 2014-08

Logistics • Construction • Healthcare

Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.

📋 Description

• Develop and maintain end-to-end data pipelines and backend ingestion workflows, and participate in the build of Samsara's Data Platform to enable advanced automation and analytics. • Work with data from a variety of sources including ERP(Netsuite), CRM(Salesforce), Product, Order Flow, and Support ticket data. • Manage critical data pipelines to enable growth initiatives and advanced analytics. • Facilitate data integration and transformation for moving data between applications, ensuring interoperability with data layers and the data lake. • Develop and improve data architecture, data quality, monitoring, observability, and data availability. • Write data transformations in SQL/Python to generate data products consumed by Analytics, Marketing Operations, and Sales Operations teams. • Design, build, and operate large-scale Spark and PySpark workflows for batch and streaming data processing across Databricks and cloud environments. • Optimize Spark job performance — tuning partitioning, shuffle, caching, and resource allocation for production-grade reliability and efficiency. • Define and enforce data engineering standards, patterns, and best practices across the team. • Design systems with long-term maintainability in mind: clear contracts, testable components, and thoughtful failure modes. • Collaborate with platform and infrastructure teams to evolve the underlying architecture of Samsara's enterprise data ecosystem. • Build and maintain MCP (Model Context Protocol) servers that expose Samsara's data assets and engineering workflows to AI models and internal tooling. • Collaborate with platform teams to integrate agentic workflows into the data engineering lifecycle. • Evaluate and adopt emerging AI-native tooling for data engineering, staying ahead of the curve on how LLMs and agents can accelerate data work. • Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally.

🎯 Requirements

• Bachelor's degree in computer science, data engineering, data science, information technology, or an equivalent engineering program. • 8+ years of work experience as a Software Engineer with data focus or as Data Engineer. • 5+ years of experience building and maintaining large-scale, production-grade end-to-end data pipelines, including Data Modeling. • 5+ years of hands-on Spark / PySpark in a production environment, including job optimization and performance tuning. • Core Engineering Fundamentals: Strong programming capabilities in Python and SQL, combined with cloud data warehouse/lakehouse experience (e.g., Snowflake, Google BigQuery, Databricks, or Apache Iceberg). • Exposure to ETL tools such as Fivetran, DBT, or equivalent. • API experience: Python-based API frameworks for data pipeline ingestion. • RDBMS experience: MySQL, AWS RDS/Aurora, PostgreSQL, Oracle, MS SQL Server, or equivalent. • Cloud: AWS, Azure, and/or GCP.

🏖️ Benefits

• competitive salary • initial RSU grant with no vesting cliff • ongoing refresh opportunities tied to performance • flexible, employee-led remote model • professional development stipend • comprehensive health and parental leave plans • total rewards and benefits designed to fuel high-impact builders