Lead Data Engineer

  • Spin
  • San Francisco, CA
  • May 04, 2021

Job Description

About Spin

Spin is a fast-growing micromobility company committed to a world with clean air, liveable cities, safe streets, and widespread access to convenient, affordable transportation. If you’re searching for a top-tier career where you can make a difference and dynamically collaborate within a creative, lively environment—Spin welcomes you!

We’re passionate about transportation and technology. The work we accomplish fulfills a sense of meaning and purpose, which goes beyond the traditional dimensions of a workplace. Our products and initiatives directly influence people’s lives, which is proven by our customers' feedback.

Founded in 2017, and now a subsidiary of Ford Motor Company, we have worked together with cities, campuses, community groups, and businesses to expand internationally. Even as we expand, we maintain the close feeling of a small business, with “fireside chats” chats led by our company’s founders, weekly OKR pop-up videos, music-infused presentations at our All Hands meetings, and more. During this time of working remotely, our creativity and shared goals have kept us united and bonded within our virtual community.

We are a diverse team of artists, engineers, designers, urban planners, policymakers, marketers, and operators. We believe in inclusivity and build powerful alliances to fulfill our goals and move our mission forward. Above all, we at Spin are connected by our values and #BeOrange spirit, which represents unity, purpose, passion, and creativity.

About the Role

Being a data-informed company, data helps us create exceptional experiences for our customers and provide insights into the effectiveness of our product.

We are looking for Lead Data Engineers that will build and maintain our data warehouse and data pipelines, collect data from multiple sources, and expose services that make data a first-class citizen at Spin. You will be building, architecting and launching highly reliable and scalable data pipelines to support data processing and analytics needs and work closely with Data Analysts, Data Scientists, and Engineers on coming up with new data models and exploring new data sources to add to our Analytic Data Warehouse.

Our team consists of engineers that are passionate about creating finely polished and intuitive experiences and, at the same time, obsess over the performance and reliability of what we build. We challenge the status quo and strive towards finding the best way to solve problems.

We promote being a more well-rounded engineer by working on different parts of the engineering stack. We also work in very small groups to keep processes and overhead low, so we have a lot of trust and accountability to perform the work required to build the best product.


  • Build and maintain our data warehouse and data pipelines
  • Scaling up our data infrastructure to meet business needs
  • Deploy sophisticated analytics programs, machine learning, and statistical methods
  • Work cross-functionally with our product, business, finance, and engineering teams


  • Minimum of 7+ years of relevant experience in building and architecting data solutions
  • Deep understanding of distributed systems
  • Expert in SQL and high-level languages such as Python, Java, or Scala
  • Built and maintained data warehouses and ETL pipelines
  • Experience with Data modeling and warehouse design
  • You have worked with big data solutions like Redshift, Snowflake, Hadoop or Hive
  • Experience with realtime data streaming infrastructures like AWS Kinesis, Spark or Kafka (Confluent Platform a plus)
  • Worked with Cloud-based architecture such as AWS or Google Cloud
  • You will be working with BigQuery, DBT, Airflow, Python, Fivetran, Kafka, git and Looker, and we welcome new ideas.

Benefits & Perks

  • Opportunity to join a fast-growing startup and help shape and establish the company’s industry leadership
  • Competitive health benefits
  • Unlimited PTO for salaried roles
  • Pre-tax commuter benefits
  • Monthly cell phone bill stipend
  • Wellness perk for salaried roles

Spin is an equal opportunity employer and will not discriminate against any employee or applicant for employment in an unlawful matter. We celebrate diversity and are committed to creating an inclusive environment for all individuals. Spin treats all employees and job applicants on the basis of merit, qualifications, and competence without regard to any qualified individuals' sex, race, color, religion, national origin, ancestry, gender (including pregnancy, breastfeeding, or related medical condition), sexual orientation, gender identity, gender expression, age, physical or mental disability, medical condition, genetic characteristic or information, marital status, military and veteran status, or any other characteristic protected by state or federal law. Spin also considers qualified applicants with criminal histories, consistent with applicable local, state, and federal law.

Spin is committed to providing reasonable accommodations for qualified individuals with disabilities in its job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at job_accommodations@spin.pm.

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