Analytics Engineer

Data is a crucial part of Whatnot’s mission to bring people together through commerce. The Data Platforms team creates solutions that improve our core product experience and enable stakeholders across the organization to act with confidence.

As our newest Software Engineer, you will build partnerships across the company and design scalable solutions to pressing business goals. You will build on our data architecture, unlock critical new use cases, and drive end-to-end initiatives leveraging software, data & analytics.

On any given day, you will:

Make key decisions about how we build data systems at Whatnot – and then make it happen.
Contribute to the design and implementation of our data platform architecture. You will help craft best practices and roll outs to steer the direction of the team.
Work with key stakeholders to design data applications for both internal and external audiences and a variety of use cases, including machine learning, experimentation, and real-time analytics.
Support efforts to optimize the entire data platform, including our real-time logging solutions, analytics databases, data warehouse, metrics store, and more.

You

Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.

As our next software engineer, you should have 3+ years of experience, plus:

Track record in transforming large amounts of complex data into insights through the end-to-end creation of data products.
Experience implementing real-time and batch data pipelines with tight SLOs and complex transformation requirements
Proficiency in data architecture and modeling concepts, such as Kimball or Data Vault
Expertise in data engineering tooling, such as ingesting, testing, transformations, lineage, orchestration, and/or semantic layers.
Experience managing cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) for processing and serving data products.
Skill at cultivating strong partnerships and the ability to coach and influence others to up-level the craft of data engineering.

In addition to these role-specific qualifications, you’ll also possess:

Understanding of the cloud, and experience with at least one of the major cloud providers (e.g. AWS).
Proficiency in at least one server-side programming language (preferably Python), common algorithms and data structures, and software design principles.
Comfort with infrastructure-as-code approaches (e.g. Terraform).
Self-starter ethic, thriving under a high level of autonomy.
Exceptional interpersonal and communication skills.

Compensation for US-based applicants:$153,000 - $235,000/year + benefits + stock options

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