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As a Principal Data Engineer, you will work within the Informatics team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources.
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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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Research experience with antibody-based molecular engineering and relevant datatypes (e.g., surface plasmon resonance data and deep sequencing datasets) is desirable but not essential. At least 2 years of research experience in protein biochemistry, protein engineering or related field.
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Bring a system-oriented and software engineering mindset to the Data Engineering practice. Have at least four years of experience working with data and two years of experience in Software Engineering or a related field.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Own collection of zero and 3rd party demographic data and partner with data engineering to integrate into our CDP. Work with the data science and data engineering teams to enhance our usage of Iterable, creating personalized messaging for each customer to drive repeat purchases and LTV.
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Work with top-flight software and hardware and data science engineering talent from places like Google, Amazon, Nvidia, Palantir, and NASA JPL. Forward was founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), and Garrett Camp (Uber co-Founder.
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As a Software Engineering Manager, you will identify, hire and build a world-class team of Software Engineers, Researchers, and Data Analysts to define, drive and execute on the creation of the next generation of Lilt's data platform.
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Consulting, Staffing & Staff Augmentation, Managed Services, design thinking, big data, employee engagement, executive hires, digital engineering services, talent development, R&D Labs, Cloud Computing, DataOps, DevOps, RPA, digital transformation, and AIOps.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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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. The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day.
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Experience analyzing and advising clients on US and international laws regarding content policies, youth safety, privacy and data protection, and/or trust & safety. - Partner with cross-functional stakeholders, including Product, Engineering, Privacy, Public Policy, Marketing, Comms, and Trust & Safety.
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data engineering jobs Title: engineer Company: Twilio in San Francisco, CA
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