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Langan is seeking an Environmental Engineer, Scientist or Geologist to join its collaborative team in the Bay Area. This individual will serve a key function in providing site exploration activities including, but not limited to contaminated site investigation and remediation work; soil and groundwater sampling; vapor intrusion investigation; remedial investigation, design, implementation, and monitoring; pilot tests; data management, processing, and evaluation; and report preparation.
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As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth and strategy of our data pipeline.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
$200Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As the Manager of Process Operations you will manage a group of Process Engineers responsible for all aspects of process improvement throughout the facility: technical training, increasing throughput, decreasing downtime/stops, improving work process inefficiencies, managing and improving Data Management Systems, eliminating other wastes, etc.
$101,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 SVP, Data Engineering and Product Development is a visionary and an accomplished leader with over 10 years of experience in data engineering, product management, and delivering high-value data products and services.
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Strong understanding of Generative AI, data management principles, data architecture, and AI technologies, including machine learning, natural language processing, computer vision, and predictive analytics.
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Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Accounting, Data Processing/Analytics/Science, Mathematics.
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Data Processing/Transformations: Vector (VRL), Kafka, Apache Spark, and or general ETL applications & approaches. Cloud Data Management: S3, Glacier, Glue Catalog, and/or Azure Blob.
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Bonus point for experience working with cloud data processing technologies (Apache Spark, Ray, Dask, Flink, etc.) You'll be part of the ML Platform team in Data Engineering, which aims to ensure healthy and fast ML in all of the 40+ ML use cases across Pinterest.
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Comfortable working directly with data analytics to bridge Lyft’s business goals with data engineering. You’ll have ownership of our core data pipeline that powers Lyft’s top-line metrics; You will also use data expertise to help evolve data models in several components of the data stack; You will help architect, building, and launching scalable data pipelines to support Lyft’s growing data processing and analytics needs.
$124,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Work collaboratively with business, engineering, architect, developer, data, legal, UI/UX, and other teams to deliver cutting-edge technologies. Build cloud-based mobile and web applications using Azure and Google cloud services APIs including Artificial intelligence and Machine Learning models for Natural language processing and understanding.
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Experience with data processing technologies Kafka, Kinesis, Spark, Flink, or other open-source or commercial software. As one of Benchling’s Data Platform engineers, you’ll join a rapidly growing, premier engineering team and form the foundation of our data pillar, encompassing customer-facing data products, internal analytics, and the customer-facing data warehouse.
$134,385 - $181,815 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Hands-on experience with big data systems like Apache Spark, Apache Flink, and Apache Kafka, including building and optimizing data processing pipelines. Design and implement innovative solutions for streaming data processing, addressing challenges like data skew and out-of-order events, using Apache Flink.
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Develop and optimize data pipelines using dbt and Airflow to ensure efficient data processing and data quality checks. Architect and implement data governance and metadata management solutions to maintain data integrity and compliance.
$82 - $123 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago
data engineering management processing jobs in San Francisco, Boynton-beach, Florida
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