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Location
San Francisco
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Sector:
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Salary:
$180,00-$300,000
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Contact:
Jason Rumney
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Contact email:
jason@intelletec.com
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Job ref:
AAJR03843
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Consultant:
Jason Rumney
Our client is a Series A data company with over $20 million in funding based in San Francisco. Their CEO/Founder sold his last company for over $400 million, due to rapid growth they are expanding their engineering team. The company is growing fast with over $10M ARR and is currently profitable.
The company is based in San Francisco but about 50% of the team is remote (all in the U.S.). They get the entire company together in the same place every month.
About you:
- Care deeply about democratizing access to data.
- Passionate about big data and are excited by seemingly-impossible challenges.
- At least 80% of people who have worked with you put you in the top 10% of the people they have worked with.
- You think life is too short to work with B-players.
- You are entrepreneurial and want to work in a super fast-paced environment where the solutions aren’t already predefined.
Skills:
- You have at least 6 years of relevant work experience.
- Proficiency writing production-quality code, preferably in Scala, Java, or Python.
- Strong familiarity with map/reduces programming models.
- Deep understanding of all things “database” - schema design, optimization, scalability, etc.
- You are authorized to work in the U.S.
- Excellent communication skills.
- You are amazingly entrepreneurial.
- You want to help build a massive company.
Nice to haves:
- Experience using Apache Spark to solve production-scale problems.
- Experience with AWS.
- Experience with building ML models from the ground up.
- Experience working with huge data sets.
- Python, Database and Systems Design, Scala, Data Science, Apache Spark, Hadoop MapReduce