As a Customer Data Analyst, you will work with customers to help them understand the unique digital engagement data that our platform generates. In this role, you will use in-depth analysis and governance of business intelligence to depict the value of the League platform and improve patient health outcomes. You will surface key performance indicators with visual analytics platforms like Looker and Amplitude.

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.

Kickstarter is seeking an experienced Senior Data & Analytics Engineer II to join our Insights team to unlock new and valuable experiences for our community through the smart use of data by modernizing our data stack, building scalable pipelines, enabling deeper insights, and architecting a data foundation.

We are looking for a Product Data Engineer to maintain and optimize data pipelines in AWS for product analytics and decision-making. This role focuses on ensuring data flow, availability, and performance while optimizing costs. Responsibilities include developing scalable data pipelines using Python and AWS services.

Join the Data Engineering team to collect data, maintain ETL pipelines, and develop new pipelines that power Sayari Graph processing terabytes of data collected from hundreds of data sources using TypeScript, Kubernetes, Postgres, Cassandra, Elasticsearch, and Memgraph. Contribute to the growing library of open-source work and the WebGL-powered network visualization library Trellis.

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.

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.

Combine genomics expertise with strong production engineering skills to design and implement robust, scalable computational pipelines for large-scale NGS data processing and interpretation. Architect high-throughput workflows, maintain reliable bioinformatics infrastructure, and collaborate with Field Application Scientists to optimize pipelines. Responsible for ensuring best-in-class performance for Twist Bioscience’s production pipelines.