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Lead technology transfer efforts to implement new processes and technologies in collaboration with Analytical Development, MSAT, Quality, Manufacturing, Alliance Management and Engineering.
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Experience with protein engineering or the discovery and development of biologics. Develop computational routines and custom visualizations that enable project teams to impact protein engineering designs and allow teams to rapidly make program decisions from real-time data.
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The ideal candidate is expected to have a deep domain experience in developing and supporting financial research analytics platforms at scale, experience supporting highly technical business teams, strong cloud architecture and application development experience with a history of advancing data engineering capabilities.
$153,600 - $341,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Over 15 years of experience in Data and Data Engineering supporting multiple business teams, with at least 8 years in team management, data architecture, Ingestion frameworks, governance, and quality.
$323,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have CA CEG registration or be able to sit and get licensed for within 6 months REQUIRED.Minimum 4-8 years of relevant site investigation, geotechnical analysis, and geotechnical engineering geology construction support experience, including professional services consulting experience in the Bay Area. Minimum 1 – 2 years of cradle to grave Project Management.
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In the field, with academic backgrounds from MIT, UPenn, UChicago, and Duke. Our mission is to build the interface for next generation trustless / decentralized apps development. Were looking for a talented Lead Full-Stack Engineer to help us build out the MVP for our DApp Development Platform.
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5+ years of data engineering experience in product/support analytics and business operations. Familiarity with scripting/programming for data mining, modeling, and ETL development (Python preferred.
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Ensure Operational Excellence: Define and implement operational excellence processes for Business Intelligence Engineering, including project management and system reliability. You will play a pivotal role in managing cross-functional relationships, guiding the design and development of innovative solutions, and ensuring the seamless integration of data processes.
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Work in collaborative team environment including Product, Design, Engineering and Research to shape how we bring together Cash App and Square. You’ll work closely with product management as well as other cross-functional partners around our new Local initiative which aims to bring together the Cash App and Square ecosystems to engage customers in their local communities.
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HomeRises Case management Model uses data to understand residents experiences and includes intensive retention services; strength-based case management support and service planning; mental health, substance use and crisis intervention services; information and referral; and resident empowerment/community development for residents.
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Data science models, integrations or data pipeline development (DBT, Fivetran, AirByte) Partner with a wide range of cross-functional partners across engineering, data science, research, and product to design infrastructure to train, deploy, and serve AI/ML models at scale.
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Educational Background: Ideally a PhD in Epidemiology, Biomedical Engineering, Wound Healing and Tissue Repair, Dermatology, Regenerative Medicine, Biotechnology, Clinical Research, Molecular Biology, or a related field that involves the scientific study of the human body.
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Taxation, Accounting, Finance, Quantitative Finance, Real Estate, Hospitality, Business Analytics, Computer and Information Science, Computer Engineering, Computer Systems Analysis, Information Technology, Management Information Systems.
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data engineering management development jobs Company: Livesuper in San Francisco, CA
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