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Bachelor's degree in engineering or related field (preferred); or, Electrician Trainee/Apprentice/Certified Electrician, or commensurate experience. Field experience: hands-on solar, electrical panel wiring, or related electrical installation; familiarity with utility and field metering and data collection software.
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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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Full Time] Engineering Manager, Data Analytics at Memora Health (United States) | BEAMSTART Jobs Engineering Manager, Data Analytics. Engineering Manager, Data Analyticsat Memora Health (View all jobs)Remote - U.S. Based.
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How you’ll make an impact:Lead and drive the development of data engineering technology and platforms for the company's data needs, ensuring their reliability, performance, and flexibility.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 tech stack: We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Vertex AI, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services. Leadership: Play a key role in engineering and product strategy, priorities, and culture.
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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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Represent software engineering to the executive leadership by distilling key technical tradeoffs to help us make the best decisions we can with the data we have. Strong technical aptitude across the majority of the domains that will be part of the team: embedded software, networking, relational databases, latency-critical data streaming, mass data storage and retrieval, API, and web front-end.
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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Successful candidates will also have practical experience building large scale ETL pipelines on AWS or GCP for data engineering, feature extraction, statistical analysis, and correlations.
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5+ years of data engineering experience in product/support analytics and business operations. Experience in leading engineering teams responsible for external data reporting.
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Strategy and Operations page is loaded Director, Software Engineering. More details about our company benefits can be found at the following link: Similar Jobs (2) Director, Software Engineering (Internal Products - Capacity Planning) remote type Office - Flexible locations 2 Locations time type Full time posted on Posted 12 Days Ago Director, Software Engineering (multiple positions available) remote type Office - Flexible locations 2 Locations time type Full time posted on Posted 6 Days Ago.
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Establishing engineering best practices and methodologies to ensure data transformations and computations are accurate, efficient, and tested. 3+ years experience developing ETL workflows as a data analytics engineer, data engineer, or data analyst.
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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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We are scaling our engineering team and looking for world-class engineers with experience and expertise in Data Science, Machine Learning and AI. As an early member of our engineering team, you'll have a key role in building the future of healthcare from first principles.
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data engineering jobs Title: analytics Company: Experian in San Francisco, Boynton-beach, Florida
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