Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The data and AI team is looking for a Senior Data Engineer II who brings a software engineer's mindset to data infrastructure. This role involves managing data APIs, architecting Spark-driven workflows at scale, designing data platforms as products, and building intelligent tooling including MCP servers and AI agents. The team promotes an agile, collaborative, and supportive environment where diverse thinking, innovative design, and experimentation are welcomed.

Responsibilities

Develop and maintain end-to-end data pipelines and backend ingestion workflows.
Participate in the build of Samsara's Data Platform to enable advanced automation and analytics.
Work with data from ERP, CRM, 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.
Develop and improve data architecture, data quality, monitoring, observability, and data availability.
Write data transformations in SQL/Python to generate data products.
Design, build, and operate large-scale Spark and PySpark workflows for batch and streaming data processing.
Optimize Spark job performance.
Design, build, and manage data APIs in python using frameworks such as FastAPI.
Manage API runtime in AWS ecosystems- Lambda and RDS.
Monitor and optimize API, track observability via tools such as Data Dog or Splunk.
Participate in on-call rotations and act as technical escalation point of contact for data quality issues and API uptimes.
Define and enforce data engineering standards, patterns, and best practices.
Design systems with long-term maintainability in mind.
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.
Champion, role model, and embed Samsara's cultural principles.
Provide mentorship to junior team members and deliver technical guidance, training, and knowledge-sharing.
Engage directly with internal cross-functional stakeholders to understand their data needs and design scalable solutions.
Lead end-to-end projects as the central point of contact for stakeholders.

Requirements

Bachelor's degree in computer science, data engineering, data science, information technology, or an equivalent engineering program.
10+ years of work experience as a Software Engineer with data focus or as Data Engineer.
8+ 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.
3+ years of hands-on experience developing and managing APIs, preferably in python.
Strong programming capabilities in Python and SQL.
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, API management tools.
RDBMS experience: MySQL, AWS RDS/Aurora, PostgreSQL, Oracle, MS SQL Server, or equivalent.
Cloud: AWS, Azure, and/or GCP.
Designing and governing a centralized semantic layer for reliable AI and analytics.
Logging and monitoring experience: Splunk, DataDog, AWS CloudWatch, or equivalent.
AWS Serverless: API Gateway, Lambda, S3, SNS, SQS, SecretsManager.

Skills

Python
SQL
Spark
PySpark
FastAPI
AWS Lambda
AWS RDS
Data Dog
Splunk
Snowflake
Google BigQuery
Databricks
Apache Iceberg
Fivetran
DBT
MySQL
AWS RDS/Aurora
PostgreSQL
Oracle
MS SQL Server
AWS
Azure
GCP
API Gateway
S3
SNS
SQS
SecretsManager

Location

US
Canada

Work Type

Remote
Hybrid
On-site

Experience Level

Senior

Education Level

Bachelor's degree in computer science, data engineering, data science, information technology, or an equivalent engineering program

Salary/Compensations

$134,470—$203,400 USD

Benefits

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

About the Company

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, enabling organizations that depend on physical operations to harness Internet of Things (IoT) data for actionable insights and operational improvements.
Samsara is helping improve the safety, efficiency, and sustainability of the physical operations that power our global economy, including agriculture, construction, field services, transportation, and manufacturing.
Working at Samsara means shaping the future of physical operations with product solutions including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring.
As part of a recently public company, employees have the autonomy and support to make an impact while building for the long term.

Equal Opportunity

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.
Samsara is committed to ensuring equal opportunity in employment for qualified persons with disabilities.