Data Engineer

ABOUT US

We believe that in a world of digital overload, customers crave tangible connections and delightful experiences.

Our fun, smart, and driven team is passionate about delivering on this mission and helping our users succeed with our innovative direct mail platform, which enables thousands of brands to send individually personalized postcards to customers and prospects.

PostPilot is a fast-growing marketing automation platform for the top ecommerce brands in the industry to send powerful postcard marketing campaigns and handwritten cards (using our proprietary robots!) to customers as easily as email.

Our proprietary platform and technology creates individually personalized, automated direct mail campaigns as easily as email and for less than the cost of a click. We help online brands reach and retain more of their customers as email engagement declines, iOS makes it harder to target customers online, and competition is driving up CPCs. We cut through the digital clutter to drive remarkable incremental revenue and profits, and have the data, case studies, and growth to back it up (3X YoY, >100 headcount and growing fast). We are profitable and recently raised a Series A growth investment from Summit Partners and the founders of Klaviyo.

THE ROLE

In this role, you will work closely with our data analytics, data science, and engineering teams. This will be an individual contributor role. We’re looking for people with significant experience building data pipelines and working with analytics in SaaS businesses, and in particular, MarTech/ecommerce/retail businesses.

This is a full- time remote position. We’re open to hiring outside of the US for the right candidate, but are looking for someone in the Americas, so that we can collaborate in a similar time zone.

You will be responsible for:

• Implementing and maintaining high-scale, high-availability data pipelines across all 1st party and 3rd party systems in our stack, both internally to our application platform as well as externally to and from our customers and vendors, and related tooling.
• Ensuring our data platform and pipelines supports the ongoing customer-facing BI tooling, needs, and dependent in-app functionality.
• As required, leads external data implementation projects from a technical standpoint (data feeds, integrations, etc.), works directly with vendors and customers where appropriate to successfully complete data integration initiatives.
• Managing our data platform, built on GCP, from both a technical and cost-control perspective.

ABOUT YOU

Strong technical chops: You’re comfortable with the tools of the trade, and have a strong understanding of GCP, BigQuery, ETLs, IAC (we use Terraform) among other tools.

Self-starter: As this is our first data engineering hire, you will need to be comfortable working independently and taking initiative. You will have the opportunity to shape our data engineering practices.

Experience in a fast-paced startup environment: You're comfortable with ambiguity and can thrive in a dynamic setting where priorities may shift.

Problem-solver: You have a knack for troubleshooting and enjoy finding creative solutions to complex data challenges.

OUR TOOLING STACK

Our data infrastructure is built using Google Cloud Platform and we rely heavily on BigQuery for data warehousing. We're still in the early stages of developing our ETL processes and data pipelines, but we plan to continue using a "monolith" approach. This means we'll keep our code and tools centralized to make development and maintenance easier. We'll heavily rely on IAC and a single repository for all our code using GitOps. This role will be instrumental in setting up the system architecture and defining the best practices we'll use in our data operations.