Remote Data Jobs • Data Modeling

This position plays a lead role in building and maintaining the Snowflake data warehouse environment, designing scalable ETL pipelines, and ensuring secure, efficient access to institutional data. The Data Engineer will collaborate closely with software engineers, institutional research, and the Office of Innovation and Enhancement to deliver reliable data solutions that support analytics, reporting, and strategic decision-making across the University.

We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.

We are looking for a Mid Level/Sr Data Engineer located in Brazil to work on a financial project for one of our largest clients. You will be responsible for building and maintaining data ingestion pipelines in a cloud environment, using Azure Databricks. The professional will be responsible for integrating data from various sources, ensuring quality, governance, and performance.

This role requires a candidate to build and support non-interactive & real-time, highly available data pipelines. You will build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines. The candidate provides consultation and leads the implementation of complex programs. This role requires documentation, query tuning skills and performing root cause analysis.

Collaborate with stakeholders to understand reporting needs and translate them into requirements. You'll design, develop, and maintain BI reports, dashboards, and data visualizations using BI tools like Tableau. You will optimize and enhance existing reports to improve data accuracy and visualization effectiveness, ensuring data consistency and quality in reports. This position will require data analysis and ad-hoc queries to support business decision-making.

Shape a data ecosystem that empowers every team to make smarter decisions. This high-impact, cross-functional role is our first Data Engineer hire and will blend engineering with analytics, visualization, and storytelling. You’ll build and own scalable data pipelines, power self-serve dashboards, and guide strategic insights that support everything from Product to Client Success.

Drive data initiatives across go-to-market functions by designing scalable data solutions and taking a leading role in diverse operations projects including territory planning and forecasting. Translate business needs into clear metrics, and serve as an analytics partner to Sales, Marketing, and Product teams. Develop complex SQL queries and data models to support analytical use cases, build and maintain dashboards, and improve the accessibility and quality of data.

As a Data Analyst within the Business Intelligence organization, you will work with a new venture within Spring Health to build foundational reporting and analytics tools that will help the team measure the impact and success of the new product, informing the product team on what's working and what's not to make the product a success.

Join VetsEZ as a SQL Database Administrator, supporting the Data Migration & Syndication effort within the Electronic Health Record Modernization Integration Office (EHRM-IO). You will lead the design, implementation, and maintenance of SQL, structured, and unstructured data, ensuring robust architecture, scalability, and high availability within the Azure environment. The candidate must reside within the continental US.

We're looking for our first Principal Data Engineer to design, build, and own our data ecosystem from the ground up. This role provides a unique opportunity to lay the foundation for our entire data strategy and directly influence how we use data to drive decisions across the company and build data-driven product capabilities. You'll be a hands-on developer and a strategic partner, collaborating with leadership and engineering teams to turn raw data into a valuable asset.