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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Our Big Data Applications Engineering team is seeking a highly motivated Software Engineer with a strong technical background who is passionate about designing and building systems to process data at scale, solving challenging problems in both batch and real-time data processing, and working across software and data disciplines to engineer solutions.
$191,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Big Data Technologies: Experience with big data tools and frameworks like Hadoop, Spark, or Kafka. Do you apply Machine Learning to big data problems? 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
$247,600 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with big data processing frameworks such as Apache Spark. Performing the full development lifecycle for automating batch and stream data processing systems, ensuring high performance, resiliency, and observability.
$198,072 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. The mission of the Data Platform team is to empower the TikTok Business with data.
InternExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in working with big data processing tools like spark, hive, presto, etc. Familiarity with technologies and design concepts around Big Data Processing and Relational Databases such as: ETL, Hadoop Ecosystem, structured data, SQL schemas and queries etc.
$178,200 a yearFull-timeRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with big data processing tools like Snowflake, Mode, Hadoop, Spark, or similar technologies. 5+ years of experience in machine learning, data science, or related fields at different companies.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Familiarity with big data processing frameworks like Apache Spark, Hadoop MapReduce, and Hive. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience with Natural Language Processing: Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services. Experience with Natural Language Processing, Computer Vision, or Deep Learning.
$200,000 a yearFull-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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3+ years’ experience in designing and implementing Big Data applications (data ingestion, real-time data processing and batch analytics) in Big Data, Spark Streaming, Kafka, Hadoop, Map Reduce, Hive.
$277,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Experience with at least one massively parallel processing data technology such as Redshift, Spark, or Hadoop-based big data solution. Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, EC2, DynamoDB, Data-pipeline, and other big data technologies.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Advanced competency and expertise in several Data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig)Advanced competency and expertise in several Analytic Languages (R, SAS, SPSS, Stata)Big data processing techniques, preferredRetail, customer loyalty, and eCommerce experience, preferredAs a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits.
$236,900 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - 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.
Full-timeExpandApply NowActive JobUpdated Today
big data processing jobs in Seattle, TN, West Virginia
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