Samsara

Data Engineer II

Samsara$101K — $153K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-3 years of experience in data engineering to build large-scale data platforms.
  • Hands-on experience with data technologies like Databricks, DBT, and Snowflake.
  • Proficient in Python and SQL for robust ETL/ELT pipeline design.
  • Experience in orchestrating data workflows for machine learning or AI applications.
  • Strong grasp of data modeling and performance optimization techniques.

Responsibilities

  • Build and maintain ETL/ELT data pipelines in Databricks and Spark for analytics.
  • Develop logical and physical data models for reporting and advanced workflows.
  • Implement monitoring and testing protocols for data quality and lineage.
  • Support workflow orchestration using Databricks Jobs and DBT.
  • Design bulk data pipelines in Databricks for generative AI applications.
  • Collaborate with AI engineers on experiments and model deployments.
  • Translate business needs into data requirements with RevOps and sales stakeholders.

Benefits

  • Flexible remote working model supportive of diverse team needs.
  • Professional development stipend to enhance career growth.
  • Comprehensive health and parental leave plans.
  • Rewards program offering competitive base salary and performance bonuses.
  • Employee-led initiatives for flexibility and work-life balance.
Full Job Description
About the role:

Samsara's Revenue Operations AI & Data Team is building the future of how we go to market - with intelligence, personalization, and speed. We're a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message - and to put everything they need at their fingertips, whether that's data from Salesforce, context from a past call, or content that wins deals.

As a Data Engineer II, you'll own the data platforms that power Samsara's GTM AI engine. You'll be responsible for building, scaling, and optimizing our Databricks data store, visualization store, and AI store, while also enabling large-scale generative AI jobs in Databricks. Your work will ensure that our AI applications are grounded in clean, reliable, and well-structured data from CRM pipelines, CS Systems to GenAI-powered copilots. You'll partner closely with data scientists, AI engineers, and business stakeholders to deliver the infrastructure that fuels innovation at scale.

This role is remote and open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

You should apply if:
  • You want to impact the industries that run our world: Your efforts will result in real-world impact-helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
  • You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
  • You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
  • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.

In this role, you will:
  • Build and maintain ETL/ELT data pipelines in Databricks and Spark, ensuring data is ingested, transformed, and delivered reliably for analytics and AI use cases.
  • Develop and evolve logical and physical data models to support reporting, experimentation, and advanced workflows (e.g., scoring models, signal generation).
  • Implement monitoring, alerts, and testing for data quality, timeliness, and lineage to ensure trustworthy data delivery.
  • Support workflow orchestration with Databricks Jobs, DBT, or equivalent scheduling tools to operate at scale.
  • Contribute to data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, or embedding workflows.
  • Design and optimize bulk GenAI data pipelines in Databricks to support generative AI applications at scale.
  • Partner with AI engineers and data scientists to enable experimentation, model training, and production-grade deployments.
  • Develop frameworks for data ingestion, transformation, governance, and monitoring across CRM, sales, and revenue systems.
  • Work with RevOps, sales, and customer success stakeholders to translate business needs into data requirements and stable technical implementations.

Minimum requirements for the role:
  • 2-3 years of industry experience in data engineering, with significant experience building large-scale data platforms.
  • Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Redshift, RDS, Snowflake or similar solutions.
  • Proficiency in Python and SQL, with experience in designing robust ETL/ELT pipelines.
  • Experience orchestrating data workflows at scale and enabling machine learning or AI use cases.
  • Strong understanding of data modeling, performance optimization, and cost-efficient infrastructure design.
  • Located in and authorized to work in the United States (this is a fully remote role).

An ideal candidate also has:
  • Experience enabling generative AI workflows in Databricks or similar platforms.
  • Familiarity with vector databases, embeddings, and retrieval systems.
  • Experience with Salesforce, Gainsight, Gong, Outreach, or other CRM/enablement tools as data sources.
  • Proven ability to automate repetitive tasks, improve data hygiene, and enable experimentation across GTM data use cases aligning with the emerging responsibilities of GTM engineering where clean, reliable GTM data foundations enable high-leverage automation and insight generation
  • Exposure to observability, monitoring, and governance best practices for data and AI systems.
  • Ability to collaborate closely with AI/ML teams while driving technical excellence in data engineering.


The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.

Annual Base Salary

$101,745-$153,900 USD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

About Samsara

Samsara is a technology company that provides Internet of Things (IoT) solutions to businesses. The company's platform combines hardware, software, and cloud to bring real-time visibility, analytics, and AI to operations. Samsara's products are used in a variety of industries, including transportation, logistics, construction, and energy. The company was founded in 2015 and is headquartered in San Francisco, California.
Learn more about Samsara
Size
2,000 employees
Market Cap
$6.2 billion
Industry
Founded
2015
NASDAQ

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