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Real Time Data Analytics Platform Engineer

Data Engineering

Menlo Park, CA

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Description

Uplift operates at the intersection of travel, technology and digital lending. Founded by luminaries from the travel industry, Uplift is a well-financed Series B startup that provides point-of-sale financing for consumer travel. The consumer travel segment is a $1 Trillion global market that is under-financed relative to other key consumer verticals.

Uplift is looking for an outstanding individual who combines superb technical, communication, and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively to join as Real Time Data Analytics Platform Engineer. This Senior Engineer must be comfortable working with a team of data engineers/scientists and product managers to raise the bar of the data analytics Uplift builds and maintains for our customers.

You'll automate our way to faster decision-making and create analytic products. We track every customer action and each byte of data transferred, so you'll work to enable analytic data platform at incredible scale and collaborate with best-in-class data engineers and analytic experts.

The ideal candidate for our team is a thinker and a doer: someone who embraces the startup culture, you will drive real time / offline data analytics solution, but at the same time enjoys implementing real systems, and is motivated by the prospect of spectacular business returns that customers need. You will own design, build, maintain and operate the data analytic platform. You will grow into a manager role and will help scale and build the team.

Requirements

  • 7+ years of work or related experiences
  • Desire to work in a collaborative, intellectually curious environment
  • BA/BS degree in Engineering, CS, or equivalent, Master's degree a plus
  • Implemented a platform that can help use cases like anomaly detection to surface metric shifts across multi-dimensional, highly cardinal time series data
  • Built a data discovery platform and made data accessible for various teams at Uplift.
  • Worked with and contributed to internal tools for visualization and interaction with large datasets (sub-second response on billions of records)
  • Comfort self-managing on projects that are often cross-functional and ambiguous
  • Strong drive to solve problems and get to the bottom of things
  • Entrepreneurial, persistent, with the desire to go deep in details
  • Comfortable working in a startup culture with the ability to earn trust
  • Position can be based from Menlo Park or SF

  • You have experience with and a high level of fluency with the following:
  • Data manipulation (SQL, Python)
  • Data processing at scale (Scala, Hive or Java)
  • Large-scale storage and retrieval (Hadoop, ElasticSearch or Druid)
  • Visualization techniques and tools
  • Applied statistics
  • Machine Learning
  • AWS

Benefits

  • Generous laptop budget, choose your own!
  • Free daily catered lunches
  • Medical and dental insurance
  • Pre-IPO stock options
  • 401(K) plan
  • Gym reimbursement
  • Professional development allowance
  • Easy commutes – Menlo Park, across from the Caltrain station. SF, two blocks from BART
Uplift is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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