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The ideal candidate has a strong software engineering background and problem-solving ability along with cloud computing (AWS) and data engineering skill set with prior experience on technologies such as Snowflake, Airflow, dbt, Kafka, Spark, Dask, Python, and Tableau.
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The Quality Engineer manages the intake of design consultant documentation and data, review documentation for quality compliance and completeness, and update stakeholders with progress of the final workflow documentation processing.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Proven experience in payments QA, software testing, or related roles, with familiarity in payment processing concepts. We are the Platform Test Engineering team striving to become a world-class SDET team, leverage cutting-edge technologies and practices, robust data-driven processes.
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 4 years of experience as a Software Engineer, with a focus on data engineering and data platform development. As a Senior Software Engineer, you will work alongside our experienced team of data engineers and product managers to develop and maintain our cutting-edge data handling platform using Snowflake, dbt, Sagemaker, and Airflow.
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Experience with key data science, image processing, and geospatial libraries, such as NumPy, Pandas, OpenCV, GDAL, etc. Architect, write, deploy, and maintain the production image processing pipeline that transforms raw data from the satellites into imagery products and calibration coefficients.
$180,000 - $220,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in big data processing in Apache Spark with Python or Scala. We need expertise to configure, deploy and execute Azure cloud solutions to deliver big-data processing, as well as distributed REST API services for customer facing products.
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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. This is a full-time Image Data Engineer position in Cleveland, OH, with potential flexibility for remote work.
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Join our innovative software engineering team at Apple Services, where we are on the forefront of Film, TV, Music and Podcast distribution. We ensure that our data storage and retrieval processes are optimized for efficiency by working with Postgres databases and leveraging the capabilities of Solr search platforms.
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Experience in code and system health, diagnosis and resolution, and software test engineering. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
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Handle large data volumes in a distributed environment - ideally with both backend data processing and web tier data management. We are looking for passionate software engineers to build the big data pipeline and highly scalable online systems to power our advertisement products.
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Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer. - Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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Experience delivering projects with material impact, through leading project teams of 5+ engineers and collaborating within and across teams and roles (Product Management, SRE, Data Science, ML engineering, etc); or through autonomously ownership of unusually complex projects, from inception to productionisation.
$150Full-timeExpandApply NowActive JobUpdated 9 days ago
software engineering engineer data processing jobs Title: engineer in Seattle, WA
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