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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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Hands-on production environment experience with distributed processing systems such as Spark. 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.
$199,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience defining architecture, tooling, and strategy for a large-scale data processing system. Lead end-to-end development of data tooling and frameworks, using modern technologies such as BigQuery, Apache Beam, Airflow, Dagster, dbt, Kubernetes, and Rust.
$201,500 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are looking for a Cloud Data Engineer to join the Data and Analytics Service (DAS) Team. Our team delivers a centralized data and analytics platform that provides advanced data migration and analytics solutions for our customersfor data storage, data processing, data integration, data lakes, data warehousing, and data analytics.
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You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink. Experienced in working within diverse teams of engineers, data scientists, and analysts to implement and maintain high-performance data-processing and data integration systems on top of data lake architecture.
$236,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Lead us in the development, optimization and productionization of the next generation data processing platform using Beam and Spark in the cloud. Experience building a data processing system using Beam / Spark and its ecosystems from the ground up.
$205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This platform manages data processing for our engineering, data science, and analytics teams, ensuring efficient, reliable, and predictable outcomes. You possess a good understanding of data processing technologies and software engineering principles.
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Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake. Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance Orchestrate sophisticated data flow patterns across a variety of disparate tooling.
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Data Processing: Apache Beam (Java), Apache Spark (Python), Airflow. Proficiency with distributed data processing frameworks like Apache Beam, Spark, or similar technologies.
$149,600 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Distributed data processing and analytics systems – e.g. BigQuery, Snowflake, Hadoop, Spark. batch data processing and orchestration engines (we use Airflow extensively) This role is for a product-minded engineer who thrives in building data-intensive systems.
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Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Flink, or Apache Beam. Experience with distributed computing technologies and concepts, including Hadoop, MapReduce, and distributed file systems (e.g., HDFS.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A solid understanding of databases and large-scale data processing frameworks like Hadoop or Spark and the ability to evaluate which tools to use on the job. We are looking for a Senior Software Engineer (Backend/Data) to work on data products that drive the core of our business.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Your skills span across data processing and distributed systems with a strong software engineering base. You have experience building scalable data pipelines to aggregate, prepare, and process data for use with machine learning.
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Experience with data processing, database internals including Spark or Dask (streaming is a plus) We are looking for strong engineers to build, optimize, and scale Ray’s library and data processing capabilities in general.
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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.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
processing job Title: data engineer in San Francisco, CA
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