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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Databricks, Airflow, Redshift, S3, Glue, and EMR. 5+ years experience in engineering data pipelines using data technologies (Python, Databricks, pySpark, Kafka) on large scale data sets.
$147,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You'll have peers from both top tech companies (e.g. Cash App, Google, Twitter, Uber) and other successful startups (e.g. Affirm, AfterPay, MemSQL). Strong programming skills in at least one backend coding language (Java, Rust, Python, or similar.
$120,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As a Senior Software Engineer at Priceless Platform, you will be responsible for designing, developing, testing, delivering, and monitoring scalable and secure cloud architectures, using various AWS cloud and cloud native platforms, such as EC2, ECS, S3, RDS. You will need to improve and expand the existing Priceless platform, as well as extend the platform using sidecar services or other microservices, using AWS, open source, and in-house developed capabilities.
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Expertise in Javascript (ES6+) and a web application framework like Express, Django, or Flask or frontend framework such Vue, Angular, or React. Our stack is based around Vue.js/Vuetify, Typescript, Node.js/Express, PostgreSQL, AWS Lambda.
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We’ve raised over $60M from an incredible community of partners, operators, and founders, including SignalFire (who led our Series A), Ryan Hoover (Product Hunt founder), Ashton Kutcher’s Sound Ventures, Des Traynor (Intercom co-founder), Gradient Ventures (a Google Venture Fund), Ron Conway’s fund SV Angel, Shrug Capital, and Tusk Ventures.
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Experience with Google Cloud Platform and dbt. Our data warehouse is built using tools like BigQuery, Airflow, and dbt. Extensive experience in SQL and using database platforms such as BigQuery, MySQL, Redshift or Snowflake.
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You'd join an amazing team from places like Google/YouTube, Amazon/Twitch, Facebook/Oculus, Brightcove, Bain, and the BBC. We have a supportive culture that cares about both excellent work and work-life balance.
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Obtained dbt Cloud Administrator Certification or dbt Analytics Engineering Certification is a plus. Hands-on experience standing up and operating an orchestration tool (Airflow, Dagster, Prefect, dbt Cloud.
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Tech Stack: Languages/Frameworks: NodeJS, React, Typescript, Python, GraphQL, Django Database: PostgreSQL (Google Cloud SQL), Redis, Google Cloud Datastore Infrastructure/Systems: Docker, Google Kubernetes Engine, Auth0, Datadog Ready to join a passionate team and build something incredible.
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PostgreSQL, Python/Django/JQuery a plus but others OK too, assuming you have a willingness to jump in and learn! Python / Django experience a plus. Solum is developing a cloud and mobile-first software platform that will greatly simplify the transport, storage, analysis, and sharing of precision agriculture data.
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Founded in 2014, Freenome has ~500 employees and more than $1.1B in funding from key investors, such as the American Cancer Society, Andreessen Horowitz, Anthem Blue Cross, Bain Capital, Colorectal Cancer Alliance, DCVC, Fidelity, Google Ventures, Kaiser Permanente, Novartis, Perceptive Advisors, RA Capital, Roche, Sands Capital, T. Rowe Price, and Verily.
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Experience in cloud environments (AWS, Google, Azure). Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson.
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Experience with Cloud IaaS environments such as VMware, AWS, Azure, Google Cloud Platform and OpenStack. The Pure Storage Cloud Architecture team is responsible for providing pre-sales deep technical and business expertise to customers who want to run stateful applications in containers and automate "Day 2" data management workflows in this rapidly evolving market.
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Construct applications from services you build yourself (we use node, Kubernetes, and Terraform) and integrate with (e.g. Firebase, cloud storage, Snowflake) to automate permissions management across disparate tech stacks.
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Experience in modern cloud computing and delivery platforms such as Microsoft Azure, Google Cloud and/or Amazon AWS. Deep technical experience and knowledge in the design and implementation of analytical data platforms and accepted best practices around data movement, meta-data catalogues, data transformation, data ingestion, data security, data science and data mining in both Cloud, hybrid and on-premises environments.
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