Director of Engineering, Data

| San Francisco
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Before you read on, take a look around you. Chances are, pretty much everything you see has been shipped, often multiple times, in order to get there. E-commerce is exploding, and with it, parcel shipping is becoming a meaningful factor in a business' ability to succeed. Creating a compelling shipping experience for customers is hard but necessary.

At Shippo, our goal is to level the playing field by providing businesses access to shipping tools and terms that would not be available to them otherwise.

By lowering the barriers to shipping, businesses, marketplaces, and platforms are able to connect to multiple shipping carriers, get shipping rates, print labels, automate international documents, track shipments, and facilitate returns.

About the role:

As a Director of Engineering for Data, you will build scalable data platforms enabling business analytics, intelligence, and data products. You will partner with various engineers and stakeholders to design data topologies and pipelines in support of day-to-day operations and to provide insights and optimizations to Shippo’s business and customers.

Requirements

  • A strong software engineering background combined with a background or experience in analytics, machine learning, data algorithms, and big data. Masters or PhD in computer science or quantitative fields is desirable.
  • 5+ years experience building scalable back-end services using Python, Java, C++, C# or other OO programming languages.
  • 5+ years leading data engineering teams.
  • Expertise leading, mentoring, training, and/or hiring engineering teams.
  • Proven track record of building and maintaining complex data systems
  • Exceptional communication skills
  • Experience and strong understanding of data processing and tools, including SQL, Map/Reduce, ETL
  • Experience with statistical and visualization tools such as Looker, Tableau
  • Experience with data technologies such as Hadoop, Kafka, HDFS, Spark
  • Experience with Airflow or other workflow schedulers
  • Experience with data warehouses i.e. Redshift/Snowflake/data lake solutions
  • Experience with AWS cloud services: EC2, EMR, RDS, S3

Responsibilities

  • Hire world-class data engineers, software engineers, and data scientists 
  • Provide technical guidance, career development, and mentoring to team members
  • Work closely with product management, analysts, architects, DevOps, engineering leads, and business stakeholders to define requirements, guide product and architectural vision, lead key technical and design discussions, and prioritize delivery efforts
  • Iterate quickly in an agile process
  • Be critical in all parts of data from architecture to development
  • Design and architect solutions for data needs across the entire organization
  • Manage the team that builds the infrastructure required for optimal ETL of data from a wide variety of data sources using SQL and AWS 'big data' technologies
  • Ensure high availability of data services that provide critical data for analytics, and real-time machine learning services
  • Review, select and integrate next-generation technologies into the architectural strategy as needed.
  • Advise business leaders by providing data-based strategic direction to identify and address business issues and opportunities.
  • Exceptional problem solving skills: demonstrated ability to understand business challenges, structure complex problems, develop solutions

Benefits

  • Benefits: medical, dental, vision (90% covered by the company, incl. dependents)
  • Flexible PTO + work hours
  • 3 VTO days for ShippoCares volunteering events
  • $2,500 yearly learning stipend for your personal growth
  • Free lunch / drinks / snacks
  • Fun team events outside of work hours - happy hours, “escape the room” adventures, hikes, and more!
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Location

731 Market Street, San Francisco, CA 94103

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