Data Engineer

• As a Data Engineer, you will contribute to the evolution of our data infrastructure, optimizing pipelines on Google Cloud Platform (GCP), scaling ingestion of complex data sources, and following best practices for performance and reliability.
• This is an opportunity to contribute to impactful projects in a dynamic, collaborative, and innovative environment, supporting data scientists, data analysts and business analysts across the organization
• You’ll collaborate and partner with stakeholders, and decision-makers to prioritize, design, and fulfill their data analytics needs
• You’ll identify KPIs driving business growth and performance and work closely with the business teams to define them
• You’ll work across the data stack to design and build various data products (pipelines, data models, analysis) that enable the business to make data backed decisions
• You’ll help garner trust in data from the business by documenting analytics best practices, assisting with data discoverability, governance, and accuracy
• You’ll promote and drive a self-service data culture by building easy to use analytics products and teaching the technical and non-technical users how to use them
• You’ll communicate progress, risks, and completion of projects to stakeholders

Benefits

• Parental support and beyond: We support our families by offering generous time off for parental leave. And beyond that, we work hard to build a culture that allows for all employees to have the life outside work that they desire year round.
• Health and wellness:
  Your well-being matters here. Our health plans offer a variety of options, including full medical, dental, and vision coverage, short- and long-term disability insurance, mental health resources, and more.
• Invest in your future:
  We offer 401(k)/retirement plans, employee stock purchasing plans (ESPP), and reimbursements for learning and development programs — so we can support your ongoing growth and success.
• Keep learning and growing: Helping people go further means nurturing their talent. Through annual reimbursements for employee learning activities, regular hangouts and advice from our Senior Staff, talks from industry leaders, and cultural events — we offer tons of opportunities for people to learn. And we’re always looking to grow as a company, too: we collect employee engagement and experience data annually and leverage our Employee Experience Champion Network to understand employee feedback, so we can keep improving.- You are able to identify and prioritize multiple requirements and manage expectations accordingly
• You have hands-on experience in building and managing data transformations (dbt experience is a plus)
• You are able to manage professional relationships across a variety of stakeholders
• You have 3-5 years of hands-on experience in BI or Analytics teams
• You have functional knowledge of financial, sales, or other core business metrics
• You have experience with cloud data warehouse technologies (BigQuery is a plus)
• You are able to craft functional and user-friendly data products (data models, pipelines, etc..) for both technical and non-technical stakeholders
• You are driven by logical and analytical thinking to solve problems. And have an eye for detail-oriented analysis and design
• You are collaborative and willing to traverse and contribute to the entire data stack, from front-end to back-end as needed
• You are a SQL power user, capable of complex, efficient, and logical SQL to accomplish data modeling goals
• You have experience with a data visualization tool (ie. Looker, Tableau, Mode)- Anticipated Posting Close Date*: September 30th, 2026