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.
Design, develop, test, deploy, maintain, and improve data systems and services. Perform code reviews and collaborate with peers on software solutions. Collaborate with engineers and product managers to understand data needs. Participate in Agile ceremonies and troubleshoot and fix production issues as they occur. Collaborative with the technical team to solve complex technical and design issues.
The Data Engineer I will support the design, development, and maintenance of data pipelines and workflows, assisting in data integration and transformation using tools like Python, T-SQL, SSMS, and Databricks. The role involves collaborating with other Data Engineers, working with healthcare data sets, translating business requirements into technical specifications, and participating in code reviews.
As a Senior Analyst of the Product Performance and Reporting team, you will perform the analytical reporting and analysis supporting CareCentrix operational and strategic needs. You will analyze extensive health-care clinical and operational data and develop insights that directly support the business decisions and growth goals.
Focus will be on analytical tools development, working with engineers and data scientists around the company to improve the usability of the take-up and loan cashflow models. Engage with other stakeholders around Affirm to tailor models to the needs of Merchant Pricing, Credit, Applied Machine Learning, Finance, and other stakeholders. The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools.
As a Snowflake Data Architect, at the heart of the organization, you will support our clients to take control of their data and get value out of it by defining a reference architecture for our customers. This means that you will work closely with business leaders and information management teams to define and implement a roadmap on data management, business intelligence or analytics solutions.
The ideal candidate will have a strong foundation in data analysis, data modeling, and problem-solving skills. You will be responsible for executing data exploration, root cause analysis of data issues, and ensuring the integrity and accuracy of our data systems. Collaborate with cross-functional teams to define business requirements and translate them into technical specifications.
Help improve personalization experiences by integrating and optimizing pioneering generative AI technologies into recommender systems. Join an interdisciplinary team at the forefront of Spotify's technology and help ensure foundational technologies exceed the state of the art, actively redefining the field through published research. You'll participate in groundbreaking research at the intersection of artificial intelligence, machine learning and economics with a focus on large-scale solutions to optimize recommender systems.
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.
The Data Science Intern role bridges the gap between data science and software development, offering an opportunity to contribute to the design, training, and deployment of advanced deep learning models. The team’s primary focus is on data classification: categorizing the contents of diverse data sources, including database tables, semi-structured data, and text, to detect data with special security and privacy requirements. The successful applicant will contribute to a central feature of a new workflow automation platform with applications in healthcare, higher education, and beyond. This is a remote position, with occasional in-person meetings.