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

Senior Software Engineer - Remote