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At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.
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As a staff engineer on our EDA Engineering Team, you will be pivotal in building and supporting significant aspects of our data services and pipelines, that powers the next generation reporting and analytics platform.
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Bachelor's degree in computer science or related field and 10+ years of experience in data engineering, data science, and software engineering. The Lead solution architect typically requires seven or more years of technical experience across data engineering, data modeling, data governance.
$248,700 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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They are aware of, and adhere to, best practice for software development in general (and data engineering in particular), including code quality, documentation, DevOps practices, and testing.
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You’ll play a key role in developing processes for next-generation DNA synthesis to support protein engineering across a wide variety of industries on the way to enabling truly generative protein design.
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About Us: Logic Hire Software Solutions is an innovative data-centric organization committed to leveraging advanced analytics and data engineering practices to inform strategic business decisions and improve client engagement.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years relevant work experience in Analytics, Data Science or Software Engineering. We're looking for experienced data scientists to work with our core product teams, who will take ownership of the team's data projects and serve as a strategic partner to Product, Engineering, Design, User Research, and Marketing.
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PowerBI less preferredMust Haves:Data warehousing fundamentalsAt least 1 cloud-based warehouse (Redshift, BigQuery, Snowflake)ETL (Python)Experience in ML Pipeline engineering. Need experience building ETL pipelines from NoSQL databases, MongoDB acceptable, but if they have used a less mature NoSQL such as Google Filebase that would be preferredExperience in Vector DB preferredNeed strong data warehousing and modeling fundamentalsAdvanced SQL skillsNeed experience with at least 1 BI tool: Tableau, Looker, etc.
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Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, data engineers, and machine learning engineers for full-time positions with clients.
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Job Summary: We are seeking a talented and experienced Software Engineer to join our team at JLL. As a Software Engineer, you will be responsible for designing, developing, and maintaining software solutions that leverage Azure, Databricks, Azure Kubernetes, Microservices, and Data Pipeline using PySpark.
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Bachelors or an advanced degree in GIS, environmental science, geology, geomatics engineering, geotechnical engineering, or related field with demonstrated GIS training or coursework. Understanding of remote sensing general principles and applications (e.g., LiDAR) and experience using derived data products (e.g., las dataset, DEM, DSM.
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Bioinformatic workflows for analysis of next generation sequencing and/or proteomic data. Next generation sequencing workflows: library preparation, RNAseq, ATAC-seq, ChIP-seq, Cut-and-Run.
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Expertise in AI Software Engineering: Mastery of algorithms, methodologies, and tools across various AI fields, including machine learning, computer vision, NLP, and generative AI. 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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Join our trailblazing global AI and Data Intelligence team as a Software Engineer specializing in Data Engineering. Experience : 5+ years in Software Engineering with a focus on Data Engineering.
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8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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next data engineering jobs Title: software eng in San Francisco, Sherwood, Oregon
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