Data Engineer

Company: Believe Resourcing
Location: San Francisco, California, United States
Type: Full-time
Posted: 14.APR.2021


Role: Data Engineer n Tech-stack: ETL Pipelines/Airflow/Spark/Snowflake etc n Salary: 160K-250K + Equity n Can do Visas: NO n Location: San ...


Role: Data Engineer n Tech-stack: ETL Pipelines/Airflow/Spark/Snowflake etc n Salary: 160K-250K + Equity n Can do Visas: NO n Location: San Francisco Bay Area or remote anywhere in the USA n n My Client leverages big data and machine learning to prevent cryptocurrency fraud and financial crime. Their goal is to build a safer financial system for billions of people. To achieve this goal, they need highly available data infrastructure. As such, they are looking for passionate Data Engineers to join their team! n n Why them n They work with the best . They are YC-backed and funded by Blockchain Capital, the leading blockchain VC firm. Their customers include the world's top digital asset companies. n Strong engineering and product culture . Collectively, they have researched machine learning at Harvard and Stanford, led strategy teams at McKinsey, built data pipelines at Facebook and shipped distributed apps at Amazon and OpenDoor. n Their culture is creative, collaborative, and hypothesis-driven. They focus on creating the best products possible with low ego and high productivity. n My Client is an equal opportunity employer n n As a Data Engineer, you will collaborate with an experienced team of data scientists, engineers, and product managers to build scalable data infrastructure for their products and services. You will be deeply involved in the technical details of building highly available infrastructure and ultimately work to build a safer financial system for billions of people. n n Your Responsibilities n n Building highly reliable data services to integrate with dozens of blockchains n Creating ETL pipelines that transform and process petabytes of structured and unstructured data in real-time, ultimately helping financial institutions and governments fight fraud and criminal activity n Designing data models for optimal storage and retrieval to support sub-second latency for querying blockchain data n Deploying and monitor large database clusters that are performant and highly-available n Working cross-functionally with data scientists, backend engineers and product managers to design and implement, and new data models to support the product n Developing your skills through exceptional training as well as frequent coaching and mentoring from colleagues n n Some of the Traits they value n n Bachelor's degree (or equivalent) in Computer Science or related field n 3+ years of experience building real-time and distributed system architecture, from whiteboard to production n Strong programming skills in Node, Python, and SQL. n Experience across the entire spectrum of data engineering, including: n Datastores (e.g., ClickHouse, ElasticSearch, Postgres, MongoDB, Redis, and Neo4j) n Data pipeline and workflow orchestration tools (e.g., Azkaban, Luigi, Airflow, Storm) n Data processing technologies (e.g., Spark) n Deployment and monitoring large database clusters in public cloud platforms (e.g., Docker, Terraform, Datadog) n Goals can change fast. You anticipate and react quickly. n You own what you work on. You move fast and get things done. n Excellent communication. You will need to communicate complex ideas effectively to both technical and non-technical audiences, and both verbally and in writing n You must work collaboratively in a cross-functional team and with people at all levels in an organization n Industry experience building and productionizing innovative end-to-end Machine Learning systems is a plus. n Relevant experience in crypto/blockchain is a plus n n Benefits n n Stock n $2,000 yearly coupon for books, conferences, and professional coaching n Competitive salary n Paid time off n Volunteer time off n Parental leave n Medical, dental, & vision insurance n Life & disability coverage n 401K n Apple equipment n Daily lunch and dinner n

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