As a Lead Data Analyst for Operations Analytics with a dedicated focus on Quality, you will play a critical role in supporting our Quality organization and ensuring compliance within Board of Pharmacy and FDA-regulated pharmacy operations. This role focuses on building trusted data solutions that improve quality monitoring, compliance visibility, and process efficiency across Hims & Hersβ operations.
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Seeking a committed Senior Data Engineer to join our team in a leading multinational technology company. The professional will develop, test, and maintain existing data architectures, ensure data quality, collaborate with teams to optimize processes, analyze raw data, and implement data storage solutions.
As a Sr. Data Engineer, you will design, develop, and maintain robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data across systems. You will be responsible for optimizing data storage and processing in data lakes and cloud data warehouses (Azure, Databricks). Strong collaboration skills are needed to help drive excellence across our data infrastructure.
The Data Engineer will play a critical role in designing, constructing, installing, testing, and maintaining highly scalable data management systems. This role requires hands-on expertise using Snowflake, Azure Cloud services, and Sigma to design, develop, and maintain scalable data pipelines and analytics solutions.The ideal candidate will have strong experience in cloud-based data architectures and modern ETL/ELT practices.
As a Data Analyst II, you will conduct thorough evaluations and advanced analyses of potential fraud cases and data inquiries by leveraging claims information and multiple data sources. You will provide critical support in developing complex, high-value, or sensitive cases that warrant referral to law enforcement or recovery of overpayments.
The Senior Data Management Engineer will build data pipelines, model and prepare data, and perform complex data analysis to answer Business questions. This role involves building and automating data pipeline and quality framework to enable and promote self service data pipelines, and assisting in operationalizing the AI / ML Engineering solutions.
The Data Engineer I supports the design, development, and maintenance of data pipelines and workflows, assists in data integration and transformation processes using tools like Python, T-SQL, SSMS, and Databricks, and collaborates with other Data Engineers to understand technical aspects and architecture design. They will work with large and complex healthcare data sets and help in translating business requirements into technical specifications.
Enable various teams at Samsara to leverage GenAI and data to glean insights and make data-driven decisions by delivering a reliable data platform and trustworthy data and analytics. Promote an agile, collaborative, supportive environment where diverse thinking, innovative design, and experimentation is welcomed and encouraged. Administer and monitor Databricks workspaces and underlying AWS Infra.