Mattermost is the industry’s leading open-source enterprise-grade messaging platform. Customers including Intel, Ubisoft, Samsung, Cigna, BNP, European Commission, Social Security Administration, and Affirm use Mattermost to enable their teams to collaborate securely and privately anywhere. Many of the world’s leading privacy-conscious enterprises like The US Department of Defense work better by connecting people, tools, and automation to increase developer collaboration using Mattermost. Our private cloud messaging platform offers secure, configurable, highly scalable messaging using web, mobile, and desktop applications and provides deep integrations with hundreds of SaaS and on-premises tools and applications.
We value high impact work, ownership, self-awareness and being focused on customer success. If these values match who you are, we hope you'll learn more about working at Mattermost
Mattermost is a data-driven organization, and we are looking for a best-in-class Data Engineer to ensure the stability and evolution of our data engineering infrastructure. Our ideal candidate is skilled at and genuinely passionate about data engineering, wants to learn how our data interconnects, and is enthusiastic about helping the business make sense of it all. You will be part of the Business Operations team focused on enabling Mattermost to consume and analyze data, maintaining a high performing infrastructure, ensuring data security and quality, and developing self-service analytics frameworks.
ResponsibilitiesDesign, deploy, and maintain best-in-class data infrastructure (Snowflake, Airflow, dbt, EKS, etc.)Manage the development and operation of high-volume data pipelines to enable the business to make data-driven decisionsPartner with the Analytics team to build data models that are actionable for the businessCollaborate with Product and Engineering teams to ensure that new products and features are instrumented to capture product usage data/telemetryBuild and maintain data-driven applications that enable business process automation and support business operationsEffectively work while remote, with the ability to travel 2-3 times per year for week-long off-site meetings with team members
Requirements4+ years experience designing, implementing, and maintaining data infrastructure/data warehouse4+ years experience using Python4+ years experience developing business-critical applicationsExperience with ETL and architecting data systemsExperience with schema design, data modeling and SQL queriesSolid understanding of REST and building scalable APIsBe able to work well with a team composed of cross-functional rolesBe able to proactively communicate well, both written and verbally
Nice-To-HavesExperience with Rudderstack, dbt, Snowflake, and LookerDegree in Computer Science or relatedExperience working in open source communities