FreshRemote.Work

Senior Consumer Data Engineer II

Remote, United States

Meet Upside:

We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We've helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives.

 

The Impact You'll Make:

  • You'll lead the greenfield development of Upside's consumer marketing and app feature attribution products through a combination of platform and data engineering.
  • You'll collaborate directly with Upside's founders, marketing leadership, consumer product managers, data scientists, and engineering tech leads.
  • You'll report into Upside's R&D Engineering team, surrounded by highly technical colleagues with deep experience in application, platform, and data engineering.
  • You'll contribute within a team culture that promotes taking calculated risks to inspire creativity while maintaining a healthy relationship with work.

What You Should Have:

  • 5+ years of professional experience in a software engineering or technical data practitioner position.
  • Applied knowledge of marketing and product attribution models and strategies within the context of a consumer app business.
  • Proficiency in Python or Java programming, SQL data manipulation, and DevOps best practices.
  • Experience using consumer technologies like Appsflyer, Segment, Iterable, or other comparable technologies.
  • Experience collaborating with marketing practitioners and product managers to deliver high quality internal technical products.

 

Tools We Use:

  • Consumer Data Platform: Segment (Java API)
  • Marketing Technology Platforms: Appsflyer, Iterable
  • App Development: Kotlin Multiplatform
  • Orchestration: Dagster (python)
  • Data tools: dbt, SQL, Snowflake, Hex (notebooks)
  • Cloud platform: AWS
  • Version control: Git
  • DevOps: GitHub Actions, Terraform

 

Location:

This is a fully remote role that may work anywhere in the United States. You're still welcome to work from our DC, NYC, Austin, or Chicago office if you're in-region!

 

Compensation:

The US base salary range for this full-time position is $140,000-$190,000 + equity + benefits. The final starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share …

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