Senior Data Engineer, Analytics

San Francisco, CA / Washington D.C / Remote

Applications have closed

Mapbox

APIs and SDKs for AI-powered maps, location search, turn-by-turn navigation, and geospatial data in mobile or web apps. Get started for free.

View company page

The Analytics team applies business logic to the underlying data, providing actionable insights to decision makers through easy-to-interpret visualizations, derived tables, and ad hoc analyses. As a data engineer on the Analytics team, you will build and manage underlying platforms and tools that are foundational to fostering a data-driven culture across all of Mapbox. You will create scalable data pipelines and processes to ensure operational excellence in how teams retrieve, interpret, and action on data insights internally. You will have strong autonomy designing and implementing operationally excellent data interfaces.

What You’ll Do

  • Rigorously design data warehouse schemas to allow for performant access to digestible datasets
  • Become the analytics infrastructure and tooling expert, supporting business-focused pipelines and data interfaces.
  • Build automated processes and alerts to ensure critical data pipelines are always accurate and timely.
  • Work cross-functionally with analysts and data engineers to democratize the flow of information at Mapbox, lowering the entry barrier for individual team members to access data and glean insights.
  • Thoroughly document your services to enhance data discoverability throughout the organization.

What We Believe are Important Traits for This Role

  • Technical fluency. Strong understanding familiarity with AWS products, Snowflake and Airflow. Proficiency in SQL and Python. Experience debugging big data processing issues issues is a plus, as is experience with other tools like Spark or DBT
  • Build for scale. History of building and maintaining repeatable processes and systems. You deliver on time and the data from your pipelines is rock solid. You look to the future, so that your processes hold up when the company scales 10x.
  • Strong communication. You can communicate complex ideas concisely to a wide audience, both verbally and in writing. You know how to work across teams, treating others with empathy and respect.
  • Startup mindset. You are a self-starter and like to move fast and iterate. You work cross-functionally and optimize for company-wide impact. You are passionate about promoting a strong data-driven culture across the company.

Attention to detail. You take pride in the quality of your data and processes and have a healthy amount of skepticism. Your logic is the critical fallback that prevents decision makers from actioning on inaccurate information. You’re not afraid to roll up your sleeves and dig in.

What We Value

In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders:

  • We value high-performing creative individuals who dig into problems and opportunities.
  • We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.

 

By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. 

Mapbox is an EEO Employer - Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity

Tags: Airflow AWS Big Data Data pipelines Pipelines Python Snowflake Spark SQL

Perks/benefits: Parental leave Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  9  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.