Data Engineer

Location: San Francisco, CA

Department: Engineering

Type: Full Time

Min. Experience: Entry Level

What we need.

We’re looking for flexible engineers who will be equally comfortable wrestling answers from big data and explaining those results to the business side of the company.  We want people who can take ownership of both the questions that business asks as well as the infrastructure used to answer them.


Who we are.

Bizo is a data driven online marketing platform that targets the business professional.  Our platform has won the confidence of more than 400 brands, including AMEX, Mercedes Benz, Monster, Salesforce.com, Porsche, Microsoft, AT&T and UPS.

We believe in teamwork, communication, trust and not taking ourselves too seriously. We believe in the power of small teams. We believe in supporting personal growth and the importance of nurturing a great culture.

Learn more on the development team blog, http://dev.bizo.com.


The culture fit.

Self-driven: All of our developers are given a large amount of autonomy in how they work, who they work with, and when they work. They are given complete ownership over their projects from design through implementation, testing, deployment and production maintenance and are responsible for seeing projects through to completion.

Communicative: We believe in teamwork and sharing experience : design reviews, code reviews, weekly lunch and learns.  We also believe in “strong opinions, weakly held,” being humble, accepting and giving feedback.

Quality-focused: The insights and recommendations we generate directly impact millions of dollars worth of revenue, so we need detail-oriented developers who can produce quality code.  Quality code also helps our small team do more by increasing communication through readability, decreasing the cost of maintenance, and ensuring we don’t work weekends fixing bugs.

Gets stuff done!


The technology fit.

We own zero hardware other than our laptops and operate our global infrastructure from four Amazon Web Services regions and eight data centers. Our platform processes billions of page views monthly and 100s of terabytes of data so we have lots of fun problems to tackle.

(Experience in the following is helpful but not required.)

Languages: Java, Scala, Ruby, Python, Bash
Big data tools: Hadoop, Hive/Pig/Cascading
Small data tools: Matlab, Octave, R, Excel
Other stuff: AWS (virtually all services), MongoDB, Lucene/Solr, Google Data APIs, GWT, and loads of other fun stuff...

Eligibility Requirements.

Applicants must be legally eligible to work in the United States.
We are unable to work with H-1B visas at this time.

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