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\nWe're seeking a passionate Senior Data Engineer to help us design and build our “big data” infrastructure, data aggregation and ingestion platform. This platform powers our proprietary pricing algorithm and data analysis. You will integrate data from various resources, and manage full data lifecycle (ETL). You will write complex queries on that data, making sure it is easily accessible, and works smoothly. Ultimately, you will be optimizing the performance of our company’s big data ecosystem.\n\nResponsibilities:\n\n\n* Design, architect, build and maintain big data infrastructure and tools\n\n* Automate ingestion large amounts of data from numerous sources\n\n* Develop jobs and queries to solve data mining problems\n\n* Write reliable and efficient programs to handles a broad set of big data use cases, including log analysis, MLS data analysis, operational business metrics and machine learning\n\n* Collaborate with talented data scientists to implement predictive models\n\n* Build optimized ETL jobs to power front-end applications\n\n* Data qualification, verification and validation\n\n\n\n\nRequirements:\n\n\n* BS or MS in Computer Science, Statistics, Mathematics or equivalent\n\n* 5+ years of software development experience and comfortable learning new technologies and tools.\n\n* Programming proficiency in Go, and at least one of Python or Nodejs\n\n* Strong hands-on expertise with Spark, building distributed streaming and batch processing data pipelines\n\n* Strong SQL knowledge (Mysql or Postgres), familiarity with techniques to identify slow queries and debugging (We run on AWS RDS)\n\n* Knowledge and experience with ElasticSearch\n\n* Experience working in the AWS data ecosystem (S3, RDS, EMR, Lambda, Redshift, MQs, Kinesis)\n\n* Familiarity with basics of ML algorithms, concepts in entity resolution and feature extraction\n\n\n\n\nBonus points for knowledge of:\n\n\n* Real estate markets and MLS (and tax) data\n\n* Predictive modeling\n\n* Scikit-Learn, R, TensorFlow, Pandas, NumPy\n\n\n\n\nWhat we can offer you:\n\n\n* An amazing opportunity to be an integral part of building the next multi-billion dollar consumer brand around the single largest purchase of our lives\n\n* Competitive cash and equity compensation, full medical, dental, vision benefits, 401k, flexible work schedule, unlimited vacation (2 weeks mandatory) and sick time and are open to where you live and work.\n\n\n\n\nWe are a distributed company with employees in 13 different states, so location within the U.S. is not an issue as long as you have good experience with Slack and Asana. This is an amazing opportunity to be an integral part of building a multi-billion dollar consumer brand in an industry that is long overdue for a new way of doing things. You will be working with a passionate, mission-driven team that is disrupting the status quo.\n\nKnock is an Equal Opportunity Employer. Individuals seeking employment at Knock are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.\n\nPlease no recruitment firm or agency inquiries, you will not receive a reply from us. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Senior, Engineer and Python jobs that are similar:\n\n
$80,000 — $130,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.