Samsara Inc. is on a mission to increase the sustainability of the operations that power the global economy. The company pioneers the Connected Operations Cloud
Data Engineer II
Location
United States
Posted
36 days ago
Salary
$101.7K - $153.9K / year
Seniority
Mid Level
Job Description
Data Engineer II
Samsara
Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. 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. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.
Benefits
- 401(K), 401(K) matching, Adoption Assistance, Childcare benefits, Commuter benefits, Company equity, Company-sponsored outings, Continuing education stipend, Customized development tracks, Dedicated diversity and inclusion staff, Dental insurance, Disability insurance, Diversity manifesto, Documented equal pay policy, Employee stock purchase plan, Family medical leave, Fitness stipend, Flexible Spending Account (FSA), Free daily meals, Generous parental leave, Generous PTO, Company-sponsored happy hours, Health insurance, Job training & conferences, Life insurance, Charitable contribution matching, Mean gender pay gap below 10%, Mentorship program, Online course subscriptions available, Open office floor plan, Paid holidays, Pair programming, Paid sick days, Partners with nonprofits, Performance bonus, Pet friendly, Promote from within, Recreational clubs, Relocation assistance, Remote work program, Sabbatical, Free snacks and drinks, Team based strategic planning, OKR operational model, Mandated unconscious bias training, Unlimited vacation policy, Vision insurance, Wellness programs, Some meals provided, Mental health benefits, Home-office stipend for remote employees, Diversity employee resource groups, Hiring practices that promote diversity, Employee resource groups, Employee-led culture committees, Hybrid work model, President's club, Wellness days, Flexible time off, Floating holidays
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
• Analyze user behavior, product performance, and key business metrics to identify trends and opportunities. • Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio. • Collect, clean, and structure large datasets to ensure accuracy and usability. • Define and track KPIs for marketing, product, and business performance. • Work with SQL, Python, or R to extract, analyze, and manipulate data. • Collaborate with product managers, engineers, and marketing teams to provide data-driven insights. • Conduct A/B testing and experiment analysis to improve product features and user engagement. • Identify bottlenecks and opportunities in user journeys and customer funnels. • Present findings in a clear and compelling way to stakeholders and leadership teams. • Stay up to date with industry trends, analytics best practices, and emerging data tools.
• Analyze user behavior, product performance, and key business metrics to identify trends and opportunities. • Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio. • Collect, clean, and structure large datasets to ensure accuracy and usability. • Define and track KPIs for marketing, product, and business performance. • Work with SQL, Python, or R to extract, analyze, and manipulate data. • Collaborate with product managers, engineers, and marketing teams to provide data-driven insights. • Conduct A/B testing and experiment analysis to improve product features and user engagement. • Identify bottlenecks and opportunities in user journeys and customer funnels. • Present findings in a clear and compelling way to stakeholders and leadership teams. • Stay up to date with industry trends, analytics best practices, and emerging data tools.
Data Engineering Intern
Rocket LawyerWorking to provide “legal made simple,” Rocket Lawyer is an online and on-call legal service that has been dedicated to providing simple and affordable legal assistance to indi
Role Description We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create. Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows. A Day in the Life - Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow. - AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including: - Automating code generation and documentation. - Building AI-driven data quality checks and anomaly detection. - Developing "self-healing" pipelines that can identify and alert on ingestion errors. - Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions. - Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders. - Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production. - Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes. Qualifications - Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field. - Expertise in Python and SQL. - A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow). - Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments. - Experience with Jupyter Notebooks, Tableau, or Streamlit. - A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability. Requirements - By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. - Your work won't just sit in a folder; it will be used to influence our official product roadmap. Interview Process - Recruiter Phone Screen - Technical Assessment - Hiring Manager Interview - Team Interview Benefits - Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship. - Duration: June 8, 2026 - August 14, 2026, working 40 hours per week. - Compensation per hour by location: - San Francisco Bay Area, CA: $50.00 - California (outside of San Francisco Bay Area): $46.25 - Colorado: $42.50 - Utah, Arizona, and North Carolina: $40.00 - Actual compensation packages are determined by various factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, specific work location, and performance during the interview process. - In addition to base salary, this role may include variable compensation and be eligible for an equity grant, depending on the position and level. - Base salary range: $40 — $50 USD.
Data Engineer, Analytics
DropboxDropbox is the one place to keep life organized and keep work moving.
• Help define company data assets (data model) • Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage • Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts



