Software Engineer - Data Platform

Who we are

The company (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 the company, 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 the company 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

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

As a 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 the company 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 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: the company 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 the company 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 the company’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 the company’s analytics, AI, product, and operational use cases.

• Improve the reliability, observability, scalability, security, and developer experience of the company’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 the company 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 the company’s long-term data infrastructure roadmap, including support for AI, privacy, security, global scale, and customer-facing data products.

• Champion, role model, and embed the company’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 compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed.

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

$113,645 — $191,000 USD

Total Rewards

At the company, 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 the company, 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 the company

At the company, 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 the company is a place where people from all backgrounds can make an impact.

Accommodations

The company is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email [link for members] 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 the company’s Candidate Privacy Notice for more information.

Fraudulent Employment Offers

The company 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 @the company.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our  blog post here .