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Design, develop, and maintain Snowflake-based data pipelines and ELT workflows. Develop Snowflake objects, including tables, views, stored procedures, and UDFs. Monitor and optimize Snowflake performance using query profiling and workload management.
Responsible for designing, building, and maintaining scalable data infrastructure that empowers the organization to access, process, and analyze information efficiently. Works closely with data science, IT, and business teams to optimize cloud-based solutions, automate data pipelines, and ensure real-time data availability. Hands-on experience with modern data technologies is emphasized, and focuses on data quality, efficiency, and reliability.
Experian is looking for a Data Scientist to join our Marketplace Decision Optimization team. You will be part of a large, revenue-driving team that operates on an entirely cloud-based analytical platform. You will work with other data scientists and analysts to support data-driven decision-making processes. You will be responsible for data collection, cleaning, and analysis, and developing machine learning models.
Seeking a motivated and detail-oriented Data Engineering Manager to join our Data Platform and Engineering team. The successful candidate will play a key role in operationalizing support workflows, incident response protocols, and data observability practices across our data platforms. Manage a small team of data engineers focused on operational support, reliability, and platform engineering.
Combine engineering rigor, business context, and storytelling to transform complex data into clear, consistent, and actionable insights as a Senior Analytics Engineer at Axios. You'll design, maintain, and evolve the curated layers of our data platform ensuring data is reliable, modeled for clarity, and accessible to everyone. You’ll transform raw and complex source data into well-structured data products, certified dashboards, and compelling visualizations that underpin reporting.
As a Software Engineer on the BI Engineering team, you’ll help build and shape the backbone for analytics needs across the organization. You’ll work with Analysts, Data & ML Engineers, as well as other internal teams to define and shape self-service analytics and a data-driven organization. You’ll support the relationship between the BI/Analytics, External Reporting, Product, Data Platform and domain engineering teams as we build out robust data solutions for our AI and Core Products.
This role is ideal for a technically skilled leader passionate about building scalable, high-performance data platforms, leading a team to design and maintain pipelines for millions of daily events, ensuring data reliability and accessibility, owning the architecture and optimization of a cloud-based data warehouse, and influencing the development of a Customer Data Platform.
The Commercial Business Analyst at Big Health develops a deep understanding of program, clinical, and commercial performance to answer key questions about the health and impact of our digital therapeutics. This role translates complex healthcare and commercial data into clear stories, insights, and recommendations that drive revenue growth, customer retention, and measurable clinical and economic value.
In this role, you will own the orchestration, automation, and optimization of data workflows across our existing Snowflake-based enterprise data platform. Reporting to the Director of Data Engineering, you will be responsible for designing and delivering scalable, production-ready data systems by extending and managing the infrastructure, pipelines, and monitoring frameworks that power our analytics ecosystem.