This role develops and scales business intelligence and analytics capabilities. The individual will oversee both technical and strategic aspects of BI, including data modeling, architecture, reporting, and insights. This position is a key partner across multiple teams, delivering high-quality dashboards, data models, and actionable insights to support decision-making.

Deliver value to internal stakeholders by understanding their business processes and owning solutions across the entire data chain. You'll own critical parts of our data infrastructure, design and build our product analytics pipeline, and make our AI-powered product more robust. You'll also build foundations for data team excellence and contribute to team growth.

Design and maintain scalable ETL pipelines for data integration ensuring seamless data ingestion and high-quality results, optimizing data syncing algorithms to handle large datasets efficiently, improving scalability and performance. Collaborate with AI researchers to transform machine learning models into production pipelines, delivering actionable insights in real time.

This role will help maintain, operate, and expand an existing data platform that empowers the entire business. As part of the Data Platform team, this role will work closely with other engineers on the team to ensure our data platform is reliable, stable, and available by building & operating Infrastructure as Code.

We are searching for both Senior and Staff level engineers to help us build a robust and scalable foundation for data onboarding, from automated data ingestion pipelines to ad platform ingestion. You will be working on the systems that power the Haus product and are at the heart of what we do.

As the very first Senior Data Engineer, the candidate will have a unique opportunity to lay the foundation for Honeycomb’s data-driven future by architecting and building a modern, scalable data platform. The candidate will partner directly with the Head of Data to power business-critical insights and set the standard for data quality and reliability across the organization.

Join Fleetio's data and analytics team to help build the next generation of their data platform and product. Responsible for the design and implementation of their data platform, building data products for marketplaces, integrations, and analytics. Work encompasses the full spectrum of data engineering while crossing over into areas of software and analytical engineering.

Lead and scale the data team across data engineering, analytics engineering, and data science, reporting to the CTO and partnering with the Data Strategy Manager. The focus is on building robust data systems, developing engineering talent, and driving operational excellence. Requires expertise in data, leading technical teams, and translating business requirements into scalable technical solutions.

Build, optimize, and maintain data pipelines that power our business. Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research. Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies. Protect our users’ privacy and security through best practices.

This position offers a fast-paced environment and the opportunity to impact Arine’s data platform. The Data Engineer will handle data pipelines, ingestion, and integration, collaborating with stakeholders to optimize processes for healthcare datasets. Responsibilities include writing Python and Snowflake SQL for ETL pipelines and using AWS services for data APIs.