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Job Description: Director, Quant Data Engineering The Role The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Advanced degree (e.g. M.Sc., PhD) in a field related to AIML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences.
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You have at least one prior software engineering or data engineering co-op or internship experience. Additionally, you must have at least one prior software engineering or data engineering co-op or internship experience.
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And have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML and SQL warehouse). DataBricks - Data Engineering. Experience in migrating data from on-prem Hadoop to Databricks/AWS.
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We're hiring a Data Engineer II to be a part of our data engineering team to build and enhance data solutions for Openly's insurance platform. 1 to 2 years of data engineering and data management experience.
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At least 1 years of experience with Symantec Data Loss Prevention (DLP) infrastructure engineering. Communicate extensively with Data Protection Product and engineering teams across the organization.
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Corvus is seeking a Senior Data Engineer who will work alongside Product, Data Science and Engineering to build out and sustain a modern data platform that serves data analytics as a product to our internal stakeholders - Underwriting, Actuary, Sales, Claims, and Finance.
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An advanced degree (master's or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. 4+ years of professional data engineering experience.
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Proven experience in software development for biological data analysis, preferably related to antibody selection or protein engineering. The Bioinformatics Scientist is responsible for analyzing antibody selection data from yeast display, implementing machine learning algorithms to enhance data analysis and lead selection, and managing the data pipeline from raw file processing to database storage.
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Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery. Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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Hitachi Energy is inviting experienced professionals to join North American Engineering Design Center at the regional headquarters in Raleigh, North Carolina as a. Work experience with Windchill data management or any PLM software is highly desired.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
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Strong experience with biosensor systems and analyzing biomedical data. As a Signal Processing Engineer at WHOOP, you will be part of a cross-functional team composed of DSP, Soft Goods, WHOOP Labs, Firmware, and Data Science.
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We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.
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data engineering jobs in Boston, MA
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