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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.
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The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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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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Collaborate closely with security, operations, development, networking, SD-WAN, and data center engineering teams to ensure smooth integration of IaC solutions with existing infrastructure and processes.
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Role DescriptionDropbox is looking for a Data Engineer to join our Finance Data Engineering (FDE) team to build out next generation Financial data pipelines that power crucial business decisions throughout the organization including metrics (ARR, Churn) that are reported externally to Wall St. The team is responsible for curating Gold Datasets (user, team, product etc) that are the source of truth for analytics and operations at DropboxDo you dream about Data and talk to your friends in SQL.
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2+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. Contributing to key data engineering projects that potential require collaboration across multiple teams.
$143,640 - $197,640 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As the Director of Data Engineering, reporting to the VP of Platform Engineering, you will be responsible for leading and overseeing the end-to-end data lifecycle, from engineering, architecture and governance to cloud data systems and services.
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Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS Lambda. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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Lead an engineering team in working with large amounts of data at the petabyte level and constructing a next-generation, big-data and AI-driven advertising system to advance Disney's addressable advertising platform capabilities.
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15+ years of experience in information security with a focus on hands-on security engineering, data protection, enterprise security, cloud security, and solutions architecture. We ask that you have expertise in data security, security engineering, and cloud security that will safeguard data across Autodesk.
$159,800 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc. 10+ years experience in engineering data pipelines using data technologies (Python, pySpark, Airflow) on large scale data sets.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Product DevelopmentDrive the development of innovative and industry-leading invoicing, virtual terminal and all payment products across desktop, mobile, and native platformsCollaborate with cross-functional teams, including Design, Engineering, Product Marketing, and Data Science, to execute the product strategy.
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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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As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting. Working closely with across groups, such as the product, engineering, data science, compliance, and security teams, for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
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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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data engineering jobs in San Francisco, Mililani-town, Hawaii
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