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As a data architect, you will focus on the big picture of an organization’s data strategy. We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc. Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, BigQuery.
$145,000 - $190,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Hands-on experience with at least one cloud platform (AWS or Google Cloud) and at least one modern big data product such as Databricks, Snowflake, and BigQuery. Experience working with Python, SQL, and modern data products to build and test data-intensive applications.
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Experience in our tech stack of React, JavaScript, Python, FlaskCS degree from a top university (MIT, Ivy League, Stanford, UC Berkeley etc)Prior experience at a fast-growing startup or top tech companyPrior experience working with data scientists and ML engineers a big plusWhy is This a Great Opportunity.
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Develop and maintain creative solutions to evolving challenges that span data processing, data modeling, and machine learning model deployment. Partner with the analytics and data science team members to understand and optimize downstream data usage.
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The Pirruccello lab is also part of the Bakar Computational Health Sciences Institute and the Institute for Human Genetics at UCSF, and the Data Scientist will be part of the larger computational community and infrastructure.
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The Federal Reserve Bank of San Francisco is looking for a Sr Cloud Data Engineer to join the Data and Analytics Service (DAS) Team. We are a team based out of San Francisco that partners with business lines across the Federal Reserve System to deliver the cloud + big data engineering, advanced analytics products, and solutions.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
$220,400 - $297,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio.
$124,000 - $204,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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Experience in data-driven optimization, including familiarity with databases, data modeling, and data analysis tools and techniques (e.g., SQL, NoSQL, data warehouses, Snowflake, BigQuery, etc.
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3+ years of hands-on experience using any of the Data warehouses like Snowflake, AWS Redshift, BigQuery, or Teradata. Work closely with other data engineering teams to integrate schema registry and establish data lineage for all data domains.
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Solid understanding of relational database modeling and design, including experience building data-intensive applications in data warehouse technologies like BigQuery, Snowflake or something similar.
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Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago
big data jobs Title: staff software in San Francisco, CA
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