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Data Engineer

San Francisco, California, United States
June 22, 2019


This is a direct-client opening for a Data Engineer located in San Francisco and they are only interested in local candidates. This is a full-time position and there are 3-4 positions available. The preference is to find US Citizens or Green Card Holders.

Our data team is rooted in a data and goal-driven culture. We love to take ownership of big business and technology challenges in our high growth phase, and solve them quickly and robustly. We are divided into small, independently-executing Agile teams to allow maximum autonomy and speed. We build in a modern, evolving stack (python, Vue, Docker, Kubernetes, AWS), leveraging new technologies as needed. We use CI/CD to deploy several times a day so that we can impact the business as quickly as possible. We operate with shared trust and no egos, and enjoy being 'in this together' to collaborate on the challenges of a rapidly scaling business.

Your Role and Impact:

The opportunity to build and develop the data team here; this includes the hiring and mentoring of engineers and analysts, project leadership, etc

Become the organization’s data SME; best practices, processes, systems, etc

Build and Architect low latency data infrastructure and systems to support all of the organization’s data needs

Create and deliver algorithms, simulators, and forecasts that allow us to ship millions of customer orders a month

Build, maintain, and troubleshoot ETL pipelines for the data sources that power the company

Plan for the future and ensure our data platform remains scalable and fast

Build automated testing, performance evaluations, monitoring tools and dashboards

Work with and build APIs from/for other microservices and outside services

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee of this job. Duties, responsibilities and activities may change at any time with or without notice.


5+ years of data engineering in a production environment

3+ years of experience coding in a data capacity (Python, PHP, Java, etc)

3+ years of experience SQL (we use Postgres and RedShift)

Strong experience with data modeling, query optimization and tuning, etc

Production experience with data streaming technologies - such as Spark, Kinesis, etc

Production experience with machine learning (scikit, SyPy, tensorflow, etc) a plus, but not required

Ability to work independently

Outstanding communication skills (Written and Verbal)

Please complete the below skills-matrix and send back with your most updated resume

Full Name:

Total Experience as a Data Engineer:

Total Experience with ETL:

Total Experience with Python:

Total Experience with SQL:

Total Experience with Postgres, Redshift or similar:

Total Experience with Spark, Hadoop or Kinesis:

Expected Salary:

What is the link to your Linkedin Profile?

What is the best phone number to reach you at?

Current City/State:


Work Status (US Citizen, Green Card, etc.):