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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. The Data Capture team is seeking to grow their team of world class Software Engineers that share their charisma and enthusiasm for making a positive impact.
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
$151,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 13 days ago - UpvoteDownvoteShare Job
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
$247,000InternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will be responsible for developing, testing, and deploying software that will enable Earth-based operators to perform mission-critical functions supporting Blue Origin operations, including flight/ground system integration and testing, mission activity planning, telemetry data processing and display, spacecraft system/health monitoring and fault detection, electronic procedures and command sequencing, and operations training.
$239,127 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands on full stack proficiency (e.g., Java, NodeJS. Hands on experience in Data Pipeline and integration tools like Talend, Change Data Capture (CDC), Spark & Azure APIs. 6+ years of SME experience integrating, transforming and consolidating data from various structured and unstructured data systems for building analytics solutions in any cloud Platforms: Microsoft Azure, AWS or GCP.
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Building systems like latency-sensitive telephonic systems for natural conversations, accessing external data that lack APIs using web data extraction methods, event processing for live data enrichment, and leveraging the latest LLM techniques for consistent, reliable offerings at scale.
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Familiarity with ArcGIS, borehole logging, 3D modeling, or groundwater modeling software preferred for geologists, or ArcGIS, CAD, and ProCore preferred for engineers. We have an excellent opportunity for a senior-level Geologist or Engineer in our Seattle, WA office to support NAVFAC NW, USACE, EPA, and commercial clients.
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You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.
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Use hydrographic software to collect, analyze and interpret bathymetric data; conduct post-processing of raw bathymetric data collected during field acquisition and clean post-processed data using third-party software.
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This is a unique opportunity for an engineer who is passionate about payments, banking, finance and blockchain technology, and is eager to be at the forefront of blockchain and digital asset developments.
$136,190 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a SoFi staff mobile engineer, you’ll be in the middle of it all acting as a leader and force multiplier – you’ll work with stakeholders to implement functionality, architect our systems, squash bugs, and continually grow as an engineer.
$264,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in assessing and implementing new data tools to enhance the machine learning stack. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in technical skills and knowledge in large language model, deep learning, transformer models, data engineering, cloud stack technologies, information fusion, large-scale machine learning models.
$294,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago
software engineer data processing full stack jobs in Bellevue, WA
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