Analytics Engineer, Data Platform

Meet Upside:

We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retailprofit measurement attribution and incrementalityto provide users with more value on their everyday purchases and brick-and-mortar businesses with new profitable customers. Weve 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.

Five million people use Upside to earn cash back on gas groceries and dining. The offers they see the lifecycle messages they get and the partner launches behind both all run on data models. Youll own a set of those. Not just building them. Deciding how they should be shaped testing them monitoring them and documenting them well enough that someone else can safely build on your work. Youll sit close to Marketing Data and MarTech so a lot of the job is turning a messy question into something concrete and trustworthy. Team of six. Snowflake dbt Dagster AWS.

• Own a scoped domain of dbt models: design build test ship and monitor them with a clear point of view on how they should be structured

• Turn ambiguous asks from Marketing and Product into scoped work and talk openly about tradeoffs when the ask and the timeline dont fit together

• Write the design doc for the features you own and break the work into pieces teammates can pick up

• Add monitoring and alerting to your models so your team catches problems before stakeholders do

• Take your turn on our support rotation debug what breaks and prevent the repeat

• Leave behind runbooks schema docs and diagrams that make your work easy for the next person to own

• Coach engineers earlier in their careers on the team in code review and day to day

• Youve spent around 35 years in data or analytics engineering or youve done comparable work under a different title

• Youre fluent in SQL comfortable with window functions and complex joins and you think about query performance without being asked

• Youve owned dbt models in a version-controlled repo; conventions tests CI and the occasional cleanup of someone elses tangle

• You know Python well enough to work in orchestration transformations and tests

• You have an opinion on modeling tradeoffs (dimensional vs. one big table) and can explain which youd pick and why

• You can explain a technical decision to a marketer and an engineer in the same meeting and adjust how you say it for each

• Youve worked in Snowflake or a comparable warehouse you could translate from

• Marketing growth or lifecycle data: events attribution experimentation or tools like Braze Iterable or Segment

• Dagster Airflow or another modern orchestrator

• CI/CD for data data governance or cost-conscious warehouse design

• Supporting ML workflows like building features or watching model inputs

• Making warehouse data usable by AI tooling; semantic layers data contracts or documentation that agents and humans can both read

One note on the lists above: they describe the work not a checklist you have to clear. Plenty of strong people talk themselves out of applying over one missing bullet. If you meet most of the core list and this sounds like your kind of problem apply and let us decide together.

Benefits:

• Medical dental and vision coverage starting on Day 1

• Equity (ISOs)

• 401(k) program

• Family planning programs paid parental leave

• Physical fitness and wellness memberships

• Emotional and mental health support programs

• Unlimited PTO 10 paid federal holidays our annual week-long Winter Break

• Flexible work environment

• Lunch reimbursement for in-office employees

• Employee Resource Groups

• Learning and Development stipend

• Transparent culture

• Amazing mission!

Diversity and Inclusion:

Diversity drives innovation and our differences make us stronger. Were passionate about building a workplace that represents a variety of backgrounds skills and perspectives and we do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability status. Everyone is welcome here!

If theres anything we can do to support a disability or special need during your application or interview process please email

This email is for accessibility accommodations only it should not be used to submit job applications.

Notice To Recruiters And Placement Agencies:

This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for and will not pay placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

Required Experience:

IC