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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
$139,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
$129,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Staff Cloud Support Engineer who likes working with data and solving a wide variety of issues utilizing their technical experience having worked on a variety of operating systems, database technologies, big data, data integration, connectors, and networking.
$195,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems. - Responsible for improving the workflow of model training and serving, data pipelines and resource management for multi-tenancy machine learning systems.
$139,650 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and develop distributed data processing pipelines in the Big Data ecosystem in the Cloud, apply data concept, modeling, structures, and infrastructure technologies and adhere to good engineering practices.
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Build big data pipelines and analytics infrastructure on Azure with Data Factory, Databricks, Event Hub, Data Explorer, Cosmos DB and Azure RDBMS platforms. Proficiency in big data processing in Apache Spark with Python or Scala.
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Experience with Big Data & Analytic solutions like Hadoop, streaming frameworks like Kafka, and Big Data technologies like Hadoop, Apache Spark, and Apache Ignite. Adaptiva is seeking a passionate, experienced Sr. Software Engineer to join our Development team.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies. Job Title: Data Engineer.
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As a developer on our team, you’ll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You’ll have a sound understanding of computer science fundamentals and practical industry experience, working across the stack with technology involving modern web, SOA, NoSQL databases, AI, ML, Big Data and more.
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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
$229,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Engineer you will have an opportunity to collaborate and work with various teams of Data Scientists, Database Developers and Managers, Software Dev Engineers, and Program managers to determine how best to design, implement and support solutions.
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Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). Outcomes As the senior technical lead, you will help the team achieve the mission by driving the technical direction of highly scalable and performant data and AI systems, working across partner teams to create technical clarity and alignment, and collaborating with senior leadership to build the product strategy and roadmap.
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Experiences with big data security systems and technologies, such as Apache Ranger, data classification, data protection. Data security and compliance is one of the top priorities for TikTok. As a software engineer in the data security team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world.
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big data engineer jobs in Bellevue, WA
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