Staff Data Platform Engineer

Posted 24 Days Ago
Hiring Remotely in United States
Remote
7+ Years Experience
Fintech
The Role
The Staff Data Platform Engineer at Bolt is responsible for building and improving the foundational data stack powering business analytics, machine learning, and recommendations. They will create a strategy for data ownership, define data architecture and pipelines, and work with cross-functional partners to drive understanding of Bolt's business.
Summary Generated by Built In

Bolt is on a mission to democratize commerce. We relentlessly prioritize our retailers—putting their brands front and center while enabling frictionless shopping at any touchpoint in the customer journey. At the center of it all is our rapidly growing universal shopper network—Bolt merchants such as Deckers, Saks OFF 5TH, Revolve, and Casper can access tens of millions of shoppers, offering them a best-in-class checkout.

And revolutionizing ecommerce is only half of the equation—we’re also transforming the way we work. At Bolt, we have created a work environment where people learn to drive impact, take risks and make big bets, and grow from feedback, all while feeling welcomed and accepted for who they are. Come join us on the adventure today!

The Data Platforms team is responsible for collecting, organizing, and analyzing all the data that is collected as the result of users interacting with our system with the goal of building machine learning and data science products to improve user experience and merchant operations as well as monitoring the well being of our systems overall.

Bolt is looking for data engineers and backend software engineers for the data platforms team. You will be working closely with all teams and cross-functional partners (including product, engineering, and data analytics) to build and improve our foundational data stack powering business analytics, machine learning, recommendations, etc. You will be responsible for creating a strategy for data ownership at Bolt and help define the data architecture, data model, and pipelines to drive understanding of Bolt’s business. 

We are looking for someone who is excited when facing big challenges, thrives when given autonomy to figure out solutions and loves diving deep into complex systems. 

Responsibilities

In addition to general problem-solving you will:

  • Participate in creating and executing a roadmap for all things data infrastructure.
  • Build scalable systems that effectively store and process tons of data.
  • Work with cross-functional partners (product, infra, security, analysts) to power data-driven products. 
  • Create fault-tolerant, timely, and optimized pipelines for data ingestion powering the company’s business analytics. Evangelize best practices with the engineering, infra, analyst teams for building data models, pipelines, and materialized views. Standardize access to data across teams, and build tooling to reuse queries.
  • Partner with our AI/ML team to make it easier to do feature engineering and build a reliable data stack to power Bolt’s AI/ML products
  • Own data reliability and help assess and determine which warehousing technologies to use, when to move data between data stores, and help productionize models.


Requirements

  • 7+ years of experience with data infrastructure / distributed systems
  • Strong knowledge of Python or Java programming languages
  • Strong SQL background
  • Experience with data technologies such as BigQuery, Snowflake, Spark, DBT, Dataflow, Apache Beam, Ray, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda, etc. 
  • Experience with Docker and Kubernetes
  • Comfortable thinking about infrastructure as code
  • Experience with Terraform or similar tools

Nice to haves

  • Familiarity with BI tools Eg: Metabase, Tableau, Quicksight, etc.
  • Familiarity with eCommerce platforms Eg: BigCommerce, Salesforce Commerce Cloud, Shopify, etc.
  • Experience working with ML & generative AI data pipelines

We are at the intersection of e-commerce and payments. We collect a lot of data that is key to decision-making at Bolt.

Tech Stack

  • GCP data pipelines and warehousing (PubSub, DataFlow, BigQuery) along with some AWS data pipelines
  • DBT, DataFlow, PySpark and BigQuery for data processing
  • Terraform for maintaining infra
  • Jenkins & CircleCI for build pipelines
  • Postgres RDS is our application database
  • Our code base is primarily in Golang, Python & Typescript

Benefits:

  • Comprehensive health coverage: Medical, dental and vision
  • Remote-first workplace
  • Time away: Flexible PTO, paid holidays + floating holidays, your birthday off!
  • Paid parental leave
  • Competitive Pay
  • Retirement plans
  • Virtual and in-person team & company events

In addition to our core values, Bolt is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity and expression, genetic information, pregnancy and related conditions, veteran status or any other reason prohibited by law. On our mission to democratize commerce, the Bolt platform levels the playing field for everyone. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve (that is, everyone).

Top Skills

Java
Python
SQL
The Company
HQ: San Francisco, CA
365 Employees
Hybrid Workplace
Year Founded: 2014

What We Do

Bolt is the world’s first checkout experience platform. Our checkout is optimized for any device and platform and has seamless fraud-detection built-in. We enable customer-obsessed brands to delight shoppers, elevate their brand experience, and mitigate the number of fraudulent transactions.

Why Work With Us

We’re building more than just a platform. We’re changing the way shoppers purchase online. We’re driven by our values - not only do they guide our work, but they also dictate how we treat one another. We don’t shy away from candid feedback, we welcome it; we don’t win as individuals, we win as a team.

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