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Use appropriate machine learning and statistical methods to gain insights from our experimental data and publicly available proteomic, transcriptomic, and genomic resources. Effectively use public datasets and guide generation of internal experimental data to characterize and evaluate locational protein targets.
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Be a hands-on data engineer, building, scaling, and optimizing self-serve ETL frameworks that can handle batch processing and/or streaming. 3+ years of hands-on experience using any of the Data warehouses like Snowflake, AWS Redshift, BigQuery, or Teradata.
$119,000 - $207,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Collaborate with a team of supportive and passionate software engineers, product, infrastructure and other internal partners to tackle challenging problems, execute on development projects that build, enhance and customize our high-performance data ingest, partitioning, graph and edge building systems.
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We’re searching for a Senior Software Engineer to join Aurora’s Motion Planning team. Our team is responsible for building data and analytics services to improve our Motion Planning team’s Machine Learning Platform.
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Senior Staff Software Engineer (Data) We are seeking a Senior Staff Data Engineer in our Ads Engineering team, crafting ground breaking mobile advertising technologies to build the next generation of our Ads Platform.
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Experience building data warehouse, data lake and data pipeline using Google Cloud Platform (GCP) Craft and build cloud-based data lakes and data warehouses. Working experience in building data warehouses and data lakes.
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Join our trailblazing global AI and Data Intelligence team as a Software Engineer specializing in Data Engineering. Software Engineer, Data - Job Description.
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As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
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What you should have You have 2+ years of experience as a Software Engineer. Understand the needs of data engineering and data science groups and deliver best-in-class solutions for them by leveraging open-source software like DBT and Dagster.
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We’re looking for a senior engineer who can help us build new platform features to dramatically improve user-facing search and reporting experiences at Square. Experience with real-time data streaming platforms such as Kafka and Kinesis.
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6+ years experience building high volume and low latency data platform and data pipelines using distributed event technology, e.g. Pubsub, Kafka, Kinesis etc, and data storage system, e.g. Spanner/Postgres, BigQuery, Cassandra, data lakes etc.
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Full Time] Lead Software Engineer - Core Data Ingestion at TRM Labs (United States) | BEAMSTART Jobs. Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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The ML Data Shop team is looking for a Senior Full-Stack Software Engineer to design and implement platforms that support data labeling to accelerate the AV model development.
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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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You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink. By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes.
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engineer job Title: data engineer software in San Francisco, CA
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