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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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As a Data Engineer on the team, you will contribute to the scalable Batch and Streaming ETL pipelines , DWH design and Data modeling, Data Governance initiatives tools and applications that make that data available to other teams and systems.
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Also as the Principal Data Engineer, you will lead design and development of enhanced data pipeline services. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Design and engineer performant, high-reliability systems to handle petabytes of data. Design and build infrastructure for optimal extraction, transformation and loading of data from various data sources (e.g., AWS tooling, Databricks, DBT, Snowflake, Temporal, and SQL technologies.
ExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Knowledge of Dbt, Airflow, Ansible, Argo, or other data pipeline systems; ideally experience building and maintaining a data warehouse. Expert knowledge of data orchestration/data pipeline tools (dbt, dagster, airflow, etc.
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As a staff software engineer, you will be working with a team of talented engineers and scientists to create and maintain data infrastructure to advance Helix’s mission. Experience with data storage and processing using technologies like Redshift, S3, AWS Glue, Lake Formation, dbt, Airbyte, Fivetran, Spark, Athena, Kafka, Trino, Snowflake, Databricks, GraphQL.
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Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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We're building the world's most advanced healthcare platform from the ground up, combining hardware, software and doctors under one roof.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Full Time] Data Infrastructure Engineer at Patterns (United States) | BEAMSTART Jobs Data Infrastructure Engineer Patterns United States. Your responsibilities Build yourself — and every data engineer — out of a job.
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Background in Data Engineering, 5+ years of experience building and maintaining scalable data infrastructure, including distributed processing solutions (e.g. Spark), cloud-based data lakes and warehouses (e.g. Databricks, Snowflake, BigQuery), workflow management (e.g. Airflow, Luigi), and data transformation tools (e.g. DBT.
$159,400 - $210,900 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Full Time] Senior Software Engineer - Data Platform at TRM Labs (United States) | BEAMSTART Jobs Senior Software Engineer - Data Platform TRM Labs United States. As a Senior Software Engineer on the Data Platform team, you will collaborate with an experienced team of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services.
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A data engineer is responsible for designing, developing, testing, documenting, and maintaining data warehouse and analytics architecture to meet UCSF's data and analytics needs.
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Our team is responsible for building data and analytics services to improve our Motion Planning team’s Machine Learning Platform. Collaborate closely with ML modeling teams across motion planning, systems engineering, and other autonomy groups to define ML workflow requirements and build critical data services.
$168,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Improve our tools for data analytics, visualization, governance, and lineage (e.g. Databricks, Redash, Amundsen, Marquez, etc.) From distributed data processing with Apache Spark to full stack web development on the Experimentation UI, to building and maintaining Kubernetes applications, you’ll have the opportunity to wear many hats and create outsized impact.
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Experience with data products (discovery, quality checks, etc) on Google Cloud Platform, Kubernetes, DBT, or Dagster/Airflow. 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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Title: data engineer Company: Qwalton in San Francisco, CA
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