Senior Streaming Engineer, Data Integrations

Description

The Engineering team at Fleetio is expanding and has an opportunity for a Senior Streaming Engineer – Integrations to join our team. In this role, you’ll help us design, build, and scale our real-time data streaming platform, enabling high-throughput, low-latency integrations between vendor systems and Fleetio’s fleet management platform.

A little about us…Fleetio is a modern software platform that helps thousands of organizations around the world manage their fleet operations. Transportation technology is a hot market and we’re leading the charge, with raving fans and new customers signing up every day. We raised $450M in Series D in June of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud founding member of the Rails Foundation!

More About Our Team and Company

• Watch our culture videos: https://fleet.io/culture
• Engineering culture, interview process and videos: https://www.fleetio.com/careers/engineering
• Fleetio overview video: https://www.youtube.com/watch?v=IlvIbwZT3oU
• Fleetio Go overview video: https://www.fleetio.com/go
• More about the Fleetio platform: https://www.fleetio.com/features
• API docs: developer.fleetio.com
• Test drive Fleetio to get an even better feel for what we're building: https://www.fleetio.com/register

This is a remote opportunity and is open to candidates in the United States, Canada, or Mexico.

Who you are

You’re a streaming engineer with deep experience designing and implementing scalable, distributed data processing systems. You thrive in real-time environments where performance and reliability matter. You’ve worked with Kafka (or similar) in production, understand the tradeoffs of event-driven architectures, and enjoy building resilient streaming pipelines that can handle massive throughput.

You’re comfortable collaborating with application engineers, product teams, and external vendors to translate requirements into well-architected, real-time data flows. You care about system design, monitoring, and data quality as much as raw throughput.

Your impact

• Design and implement robust real-time data streaming pipelines using Kafka, Flink, Debezium, or Confluent.
• Optimize streaming architectures for low-latency, high-throughput, and fault tolerance.
• Build connectors and services to integrate vendor data streams (sensor data, telematics, fuel, accounting, etc.) into Fleetio’s platform.
• Implement data validation, monitoring, and alerting strategies to ensure pipeline reliability and data quality.
• Troubleshoot and resolve data processing issues in real time.
• Document streaming architectures, data flows, and integration patterns.
• Contribute to technical decision-making around Fleetio’s data streaming and integration strategy.
• Collaborate with our Ruby on Rails application teams to ensure seamless integration between core platform features and streaming systems.
• Support downstream batch/warehouse analytics when needed (Snowflake, ELT).

Your experience

• 5+ years of professional experience in data or software engineering, with at least 3 years focused on streaming/distributed systems.
• Deep experience with Kafka (or similar streaming platforms such as Pulsar, Kinesis).
• Hands-on experience with Flink, Debezium, or other stream processing technologies.
• Strong understanding of distributed systems concepts (scalability, partitioning, fault tolerance).
• Proficiency in at least one programming language such as Java, Scala, or Python (Ruby experience is a plus, or willingness to learn).
• Experience building and maintaining high-throughput streaming architectures in production.
• Familiarity with data modeling and downstream analytics environments (Snowflake, BigQuery, Databricks) is a plus.
• Solid understanding of data quality, validation, and monitoring techniques.
• Excellent problem-solving skills, attention to detail, and communication abilities.
• Be sure to mention “coffee” in your application so we know you actually read this.

Benefits

• Multiple health/dent