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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. San Francisco, California (Hybrid On-site): $213,400 - $243,500 for Manager, Data Science.
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Experience in modern programming languages like JavaScript, Typescript, Node, Java, Python, etc. Experience with a RDBMS (SQL) or a NoSQL data store a plus4. Experience in modern programming languages like JavaScript, Typescript, Node, Java, Python, etc.
$270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Your key responsibilities You'll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.
$158,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. At least 2 years’ experience in Python, Scala, or R for large scale data analysis.
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As a data management architect and data engineer, you will specialize in modern data and integration platforms such as Informatica, Reltio, Snowflake, and MuleSoft to connect, harmonize, and transform data to deliver relevant insights.
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Big Data Platforms (Apache Spark, Data Bricks, Presto, Amazon EMR) Modern Data Workflows (Apache Airflow, dbt, Dagster) Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits.
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Big Data Platforms (Apache Spark, Presto, Amazon EMR) You will lead engagements around the design and delivery of innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark.
$226,655.02 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with AWS cloud native services for big data storage and processing. Ability to work in a big data environment. Expertise in AWS cloud application development, Trifacta, Axon, Enterprise Data Catalog (EDC), Enterprise Data Management, MDM Commercial Off-The-Shelf (COTS) Solution, System Integrator (SI) Relationship, Enterprise Reference 360, and Enterprise Data Governance.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. B.S. in Computer Science (or equivalent experience) and at least 3 years professional experience working as part of an Agile team using DevOps practices and modern programming languages and frameworks to develop and engineer data-related services and applications to cloud platforms.
$155,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. Modern programming languages and frameworks including Python (FastAPI, Django, Flask), JavaScript (Node.js, Express, Vue, Svelte, React), and Java (Spring Boot.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Hand on experience with big data frameworks and modern data technologies (Snowflake, dbt, Airflow, Tableau, SQL) 8+ years of experience as a Product Manager in a modern, data driven environment or 8+ years of combined Data Engineering, Analytics, Product Management experience.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Cloud Data Warehouse (Snowflake, Big Query/Redshift & traditional data warehouses considered) We are looking for a driven individual with a product mindset, strong consulting skills, a SQL programming background to manage data products in Snowflake for enabling robust data pipelines, and experience with cloud computing & modern data warehousing environments.
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modern big data jobs Title: data in Washington, DC
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