5 hybrid jobs

The Marketing Data Engineer will assist the Director of  Marketing Analytics in advancing the quality, quantity and variety of analytics offerings at Parallel Path. This role is responsible for the overall data foundation that all reporting and insights will be built on. This starts with the tracking of all critical data through custom tagging clients websites. The role will be responsible for optimizing the Parallel Path data warehouse to collect and organize this data across a variety of automated and manual data sources. A strong working knowledge of SQL and Python will be needed to ensure data is organized and flowing through to dashboards efficiently and accurately. The ability to visualize data within dashboards will be the final stage of primary responsibility in this role. Primary Responsibilities - Assisting Director of Marketing Analytics with: Data Warehouse Maintenance: Jointly manage the design, stability and cost of Big Query data warehouse along with...

Responsible for performing difficult or complex analysis, design and programming involving multi-project leadership and broad responsibility in support of new and existing Data Engineering Projects and production support activities. CORE DUTIES: Collaborate with IT and business partners to devise a data strategy that caters to Stanford requirements. Deep understanding and commitment to software engineering principles/processes (e.g. Lean, Agile, DevOps, CI/CD) and continuous improvement through measurement Thorough knowledge, expertise, and practice Data Management Framework to design world-class data stores. Best practices, Data Quality, and security are critical. Understand data endpoints, consumers, and develop strategy.   Fluid end-to-end data vision, design pipelines for seamless data flow. Lead and perform the design, development, implementation, and maintenance of complex Data Store/ Data Lake/Lake house and Data warehousing systems and...

Stanford University School of Medicine and the Heart Center Clinical and Translational Research Program (CTRP) are seeking a Research Data Analyst 2. Duties include: Extract clinical and operational data from internal data repositories into usable formats and develop pipeline for ongoing data extraction with new data generation, using SQL, Python, R, or other appropriate languages. Compile survey data and clinical research data into usable formats. Identify relevant publicly available datasets and registries, from the National Institutes of Health, multi-institutional collaboratives, and various other sources. Obtain and harmonize external data with local data, including activities such as converting among data storage formats, merging based on common identifiers, excluding irrelevant data, consolidating naming and labeling strategies, and generating analysis-ready datasets. Conduct feature engineering and missing data imputation as needed, and...

Stanford Research Computing is looking for a talented system administrator to join our team of collaborative and innovative professionals helping Stanford’s faculty and students use advanced computing and data tools to explore new frontiers in knowledge and solve some of humanity’s most urgent problems. Our staff work directly with some of the world's top researchers in a broad range of disciplines, across all of Stanford’s seven schools — while also supporting and learning from each other in cross-project endeavors. We maintain and steadily improve an advanced research computing facility, and we support a variety of environments for Stanford research. In Stanford Research Computing, you’ll have a rare opportunity to contribute to discoveries and inventions that have global reach and positive impact, and to share in the curiosity and commitment of the scholars and scientists who lead these projects. This position focuses on system administration,...

The Cornell Lab of Ornithology is a globally recognized leader in technology, data management, and large-scale citizen science supporting birds and biodiversity conservation. We curate more than a petabyte of digital assets, one billion bird sightings, and leverage innovative big data analysis tools and machine learning to produce web applications and services to empower a global community of bird and nature enthusiasts, researchers, conservationists, and educators. We rely on a team of high-performance engineers to help navigate intriguing technical challenges to provide data-driven services, learning platforms, and science communications supporting biodiversity and conservation communities in all corners of the globe. This role will develop technical infrastructure and services that support numerous user-facing applications, including eBird, Merlin, Macaulay Library, Birds of the World, and BirdCast.  The Opportunity Are you a tech-savvy problem solver who loves...