Transform, test, deploy, and document data to deliver clean and trustworthy data for analysis to end-users and collaborate with subject matter experts, engineers, and product managers to identify the most elegant and effective data structures. By building the data lakehouse and transforming raw data into meaningful, useful data elements, help bring engineering best practices to the Data team.
In this pivotal role as Senior Data Engineer, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices.
You’ll be a core part of a growing data team that operates similar to internal consultants. You’ll plug into high-impact initiatives across the business by helping partner teams unlock efficiency and growth through data. You’ll work cross-functionally with GTM, Product, Operations, and other teams to uncover insights, build tools and dashboards, and drive strategic recommendations.
As a Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries. You will design, develop, and maintain data pipelines using dbt to transform and load data into a data warehouse.
Together with a team of 4 other Analytics Engineers you will build the new core of the future decision-making platform of Emma Sleep. You will use a combination of dbt and Redshift and take complete ownership of your developments. Own the T in ELT together with the rest of the Analytics Engineering team.
Help shape the future of digital healthcare and e-commerce as a Senior Product Analyst. Analyze complex datasets, identify opportunities for product improvements, design and run experiments, and build dashboards. Partner with Product & Tech teams to guide decision-making with actionable insights.
Drive improvements in the Chef products, explore data, create impactful visualizations, and design and analyze experiments to fuel team learning and innovation. Deliver the data, insights, and opportunities we need to help Chef’s get the most out of their partnership with CookUnity. Define, implement, and analyze metrics about Chef's performance, relating it to their food content, their food, and our menus.
Manage and enhance the company's data warehouse, ensuring alignment with best practices and internal standards. Translate business requirements into efficient, reliable datasets within the Data Lake and oversee data layer management in Snowflake. Design and implement data models, views, and aggregates using dbt.
As an Analytics Engineer in the Deel IT product vertical, you’ll help build and maintain a scalable and efficient data infrastructure that supports reporting and decision-making. You’ll lead the migration of analytics pipelines and develop reliable, scalable data models. The role works closely with engineering, product, business, and operations teams.
As the Research Data Analyst, you will create in-depth analytics and dashboards that track the health, profitability, and usership of various protocols and sectors. You will write queries against our data sources to create and maintain our protocol dashboards. You will also work alongside protocol teams to provide data collection and analysis based on the needs of the engagement.