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Review heat exchanger vendor drawings; data interface with suppliers, clients, other engineering disciplines, and designers. TITLE: MCFR Thermal Mechanical Engineer. MCFR Thermal Mechanical Engineer.
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Infosys is seeking an Azure Data Engineer. At least 3 years of experience in designing, implementing, and maintaining robust and scalable data pipelines on Azure using services such as Azure Data Factory, Azure SQL Data Warehouse, Azure Analysis Services or any of the Azure Databricks/Synapse/Fabric.
$73,222 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Technologies we work with include Python, Scala, React, PostgreSQL, Apache Spark, Kubernetes, Jenkins, Docker, AWS (EC2, S3, EMR, RDS, Kinesis, and multi-data center architecture). Are you a highly motivated Software Development Engineer who wants to own, enhance and develop independent/open-source products which solve unique problems for marketing.
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Wherobots helps those companies bring their geospatial data down to earth and drive value from it for their business and their customers through full-featured and scalable computation, querying, analytics, and visualization capabilities.
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We are adding privacy features to Apache's big data ecosystem (Spark, Hive Presto), and building world-class data security & privacy framework for big data tech stack. Experience with Big Data technologies(Hadoop, M/R, Hive, Spark, Presto, Flink, Kafka, ClickHouse etc.
$175,750 - $266,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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We are looking for a skilled Linguistic Engineer to join our Client team and maintain their data in LLM data grading and analysis pipelines. Using new and existing data quality workflows and pipelines, you will collaborate closely with a cross-functional team of engineers, research scientists, project managers, and data scientists to report on and guide improvements on our LLM-powered features, ensuring their accuracy and reliability in wearable applications.
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As a Senior Data Engineer, you will be working on delivering the strategic vision of critical finance analytics application with a near-real time data platform. 4+ years of professional experience as a data engineer working on highly visible platforms.
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Data Engineering: You will contribute to the team by developing our next-generation data storage and telemetry pipeline that collects and ingests terabytes of data per hour into a multi-petabyte data warehouse that powers our observability systems.
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The successful candidate will work with Continuous Emission Monitoring Systems (CEMS) data to review and prepare power and steam plants required air emissions compliance reports for submittal to state and federal government agencies.
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Independently or in partnership with the BI Engineer, create data pipelines for data ingestion Transform data for model ingestion using available frameworks such as AWS, CSV files, and databases Profile data to explore and validate data content, structure, and establish error detection functions Support strategic initiatives and special projects through continuous improvement and automation of prototype and production data models and analyses.
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Continuously keep up with cutting-edge LLM technologies, open-source solutions, and their applications in the field of AI Ops. Qualifications- Bachelor's degree in Computer Science or equivalent, with 5+ years of experience as an ML Engineer or ML Applied Scientist.
$177,688 - $266,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Sr. Data Engineer at SADA, you will work collaboratively with architects and other engineers to recommend, prototype, build and debug data infrastructures on Google Cloud Platform (GCP.
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Google Dataflow/Beam or Spark, SQL, BigQuery or similar data warehouse. We use Scala, in combination with large-scale data processing and open-source technologies, to build our device graph.
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One or more relevant security certifications (AWS Certified Security - Specialty, CCSP, CCSK, GCSA, AWS Certified Solutions Architect or DevOps Engineer) Experience with modern cloud infrastructure, including EC2, Linux-based operating systems, docker containers, workload orchestration (Kubernetes, Nomad), data stores (relational DBs, NoSQL and document DBs (Elasticsearch), object stores (S3.
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data engineer jobs in Seattle, WA
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