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A plus is experience with the rest of our stack: AWS (S3, EventBridge, SQS, Lambdas, ECS, CDK), PHP, Snowflake for our data warehouse. Experience with our core service stack (Typescript, Node.js and PostgreSQL, GraphQL.
$162,000 - $223,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skills required React Building user interfaces Full Stack Java Developer Engineering Management Cryptocurrency. As an engineering manager at Alchemy, you'll be responsible for leading and elevating our talented team of front-end and full-stack engineers both technically and culturally as we continue to scale.
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Social platforms like TikTok, IG, and Youtube are currently leading the e-commerce revolution, with Wally providing influencers and merchants a way to work seamlessly together through this new era.
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Linktree has partnered with some of today’s biggest names like Amazon, TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit and more to help unify users’ digital spaces— and we’re just getting started.
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8-10+ years of experience developing production-deployed large-scale software web applications Previous experience as a full stack Java, Angular/React/Javascript engineer. Develop microservices-based applications using Java, Kotlin, HTML/CSS/React JS, Angular JS, Node JS, REST APIs, and integrations using Kafka.
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Expertise with Python and the Python data stack (e.g., numpy, pandas, PySpark) Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.
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Strong knowledge of Open-Source technology stack (Spring, Hibernate, Maven, JUnit, etc. Full Stack Java Developer. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
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Additional Awesomeness: (Preferred, but not required)Experience with any part of our data stack: Stitch, Rails, Airflow, BigQuery, dbt, Tableau/Looker, and git. Additional Awesomeness: (Preferred, but not required)Experience with any part of our data stack: Stitch, Rails, Airflow, BigQuery, dbt, Tableau/Looker, and git.
$100,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Full Stack Engineer who will contribute to the design and implementation of our deep phenotyping machine learning (ML) system, genetic sequencing workflows, and patient intelligence platform.
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Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks. Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks.
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Experience with tech stack tools such as Nginx, PostgreSQL, Django, React, npm. Familiarity with at least one web portal development framework/tech stack. Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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Minimum of 3+ or more years of full stack web application software development experience building tooling for Trust & Safety. As the Operations Engineer of Trust & Safety, you will report to the Director of Security, and play an essential role in keeping our platform safe.
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Languages: TypeScript, Rust, and a smidgen of Solidity (Foundry stack) The pricing team’s tech stack is mostly Rust, TypeScript and Solidity. 0x BACKEND TECH STACK. Stipend for your ideal remote / WFH set-up: laptop, headphones, and any other work gear you may need 12-week paid parental leave Great office conveniently located in Downtown San Francisco Unlimited vacation: Take time when you need it (and we really mean it) Multiple annual in-person team meet-ups around the globe.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. 5+ years of experience building full-stack applications emphasizing backend and large-scale applications.
$185,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done Qualifications You Have: 5+ years of Machine Learning modeling experience.
$150Full-timeExpandApply NowActive JobUpdated Today
stack job in San Francisco, Troy, New York
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