Senior Software Engineer – Data Platform

Remote from
USA flag
USA
Salary, yearly, USD
130,900 - 220,000
Employment type
Full Time,
Job posted
Apply before
10 Jul 2026
Experience level
Senior
Views / Applies
54 / 8

About Samsara

Samsara provides software and insights for physical operations to help businesses operate their physical operations more efficiently.

Actively Hiring
Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

Samsara, a pioneer in IoT for physical operations, is seeking a Senior Software Engineer for its Data Platform team. This specialized role involves designing, building, and operating scalable data infrastructure, including data lakes, distributed compute platforms, and systems for petabyte-scale data ingestion and processing. The ideal candidate has deep experience with technologies like Spark, Databricks, and Delta Lake, and focuses on foundational systems rather than business-facing analytics. This remote US position offers the opportunity to impact critical industries like agriculture, transportation, and manufacturing.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight This role requires deep expertise in data infrastructure, distributed systems, and large-scale ingestion, making it specialized and technically complex, hence a difficulty of 4.

Salary Analysis

Median Highly Competitive
USD175,450
US Market
USD130k – 220k
0 USD242k
AI Insight The offered salary range of $130,900 - $220,000 is competitive for a senior data platform engineer in the US, aligning with market rates for such specialized roles.

Key Skills

Data Platform Distributed Systems Apache Spark Databricks Delta Lake AWS S3 Data Lake Infrastructure Engineering Scalability IoT

Dear Hiring Manager,

I am excited to apply for the Senior Software Engineer - Data Platform position at Samsara. With extensive experience in building scalable data infrastructure, including Spark, Databricks, and Delta Lake, I am confident in my ability to contribute to your data platform team. My background in distributed systems and large-scale ingestion aligns perfectly with the requirements of this role. I am passionate about leveraging IoT data to improve safety and efficiency in physical operations. Thank you for considering my application.

Describe your experience with building and operating a data lake at scale.
In my previous role, I designed and managed a data lake on AWS S3 using Delta Lake for ACID transactions. We ingested petabytes of streaming and batch data, ensuring reliability and performance. I implemented partitioning, compaction, and vacuuming strategies to optimize query performance.
How have you scaled a distributed compute platform like Spark?
I optimized Spark jobs by tuning parameters like shuffling, memory allocation, and parallelism. I also configured auto-scaling clusters on Databricks to handle varying workloads, and used dynamic allocation to maximize resource utilization.
Explain a time you had to ensure reliability in data ingestion at petabyte scale.
We built a fault-tolerant ingestion pipeline using Apache Kafka and Spark Streaming. I implemented checkpointing and idempotent writes to exactly-once semantics. Monitoring with Prometheus and Grafana helped us detect and recover from failures quickly.
How do you handle data replication from primary stores to a lakehouse?
I used change data capture (CDC) with Debezium for MySQL and DynamoDB Streams to capture changes. Then, I built streaming ingestion into Delta Lake, ensuring consistency and low latency. We also performed periodic full refreshes for data integrity.
Discuss your approach to designing infrastructure that supports both real-time and batch processing.
I designed a lambda architecture with Apache Kafka for real-time stream processing and Apache Spark for batch. The real-time path used structured streaming to write to Delta Lake tables, while batch jobs handled historical loads. Both paths shared the same storage layer for consistency.

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 is looking for a Senior Software Engineer I to join our Data Platform team, which owns and develops the core analytical platform across Samsara. This team builds and maintains the infrastructure that powers Samsara’s data lake, distributed compute platform, and the systems that move data from our production data stores into our lakehouse.

As a Senior Software Engineer on Data Platform, you will design, build, and operate reliable, scalable, and secure infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. You will work on the foundational systems that enable engineers, data scientists, analysts, and product teams across Samsara to build customer-facing features, train models, develop operational insights, and support the company’s long-term AI and analytics roadmap.

This is a specialized software engineering role focused on data infrastructure. You will work on systems such as Spark and Databricks infrastructure, Delta Lake on S3, data replication from primary data stores such as RDS and DynamoDB, orchestration and metadata services, internal data libraries, and infrastructure tooling across the big data ecosystem.

This role is not an analytics or business data engineering role. If your experience is primarily focused on SQL modeling, BI dashboards, ETL tools, or building business-facing data marts, this role is likely not the right fit. The ideal candidate is a software engineer with deep experience building and operating production data platforms, distributed systems, or large-scale ingestion infrastructure.

This is a remote position open to candidates residing in the US. Relocation assistance will not be provided for this role.

You should apply if:

  • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
  • You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world’s physical operations.
  • You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
  • You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
  • You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win – together.

In this role, you will: 

  • Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse.
  • Build and maintain reliable, scalable, and modern data platform infrastructure capable of handling petabytes of data across Samsara’s analytics, AI, product, and operational use cases.
  • Improve the reliability, observability, scalability, security, and developer experience of Samsara’s Spark and Databricks-based data processing platform.
  • Develop internal libraries, APIs, frameworks, and tooling in languages such as Go and Python to help teams across Samsara move, process, discover, and access data safely and efficiently.
  • Work on foundational data lake and lakehouse technologies, including Delta Lake on S3, data catalogs, metadata services, orchestration systems, and platform automation.
  • Collaborate closely with infrastructure, product engineering, data science, analytics, security, and data engineering teams to understand platform needs and deliver durable, scalable solutions.
  • Stay connected to modern data platform technologies and help shape Samsara’s long-term data infrastructure roadmap, including support for AI, privacy, security, global scale, and customer-facing data products.
  • 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 and across new offices

Minimum requirements for the role:

  • 4+ years of professional software engineering experience in production environments.
  • 4+ years of experience building or maintaining large-scale production data infrastructure, data platforms, distributed systems, or data lake systems.
  • Strong experience with Apache Spark or similar distributed data processing systems.
  • Experience operating production infrastructure in AWS, including services such as S3, RDS, DynamoDB, SQS, Kinesis, Lambda, or similar.
  • Experience designing, building, and operating reliable systems with strong ownership of scalability, observability, security, and operational excellence.
  • Proficiency in at least one production programming language such as Go, Python, Scala, or Java.
  • Ability to collaborate effectively with cross-functional partners, including software engineers, data scientists, analysts, security teams, and product stakeholders.

An ideal candidate also has:

  • Experience with Databricks, Delta Lake, or similar lakehouse technologies such as Iceberg or Hudi.
  • Experience building data replication or ingestion systems from OLTP data stores into a data lake or lakehouse.
  • Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation.
  • Familiarity with data catalogs, metadata systems, and data discovery tools such as Unity Catalog, Hive Metastore, DataHub, or Amundsen.
  • Experience with orchestration systems such as Airflow, Dagster, or Prefect.
  • Experience with streaming data, event-driven architectures, or systems that handle late-arriving or mutable data.
  • Familiarity with containerization or orchestration technologies such as Docker, Kubernetes, ECS, or Fargate.
  • Experience building internal platforms, libraries, or developer tooling used by other engineering teams.
  • Experience contributing to data infrastructure roadmaps, evaluating new technologies, and driving improvements that create leverage for internal and external customers.

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
$130,900—$220,000 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 [email protected] 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.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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