Principal Data Engineer

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.

Meet Upside

We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail: profit measurement, attribution, and incrementally 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.

About the role

We're looking for a Principal Data Engineer to be the technical backbone of our Analytics Engineering team. You'll architect and evolve the data platform that powers Upside's most critical product and business decisions: setting patterns, leading cross-functional workstreams, and raising the bar for how data moves through the company.

This is a role for someone who wants real ownership. Our team is small and intentional, our scope is large (~2,000 tables, 100 pipelines), and the work directly shapes product features, ML models, and business outcomes. If you do your best work when the problem is ambiguous and the impact is visible, this is the role for you.

Here are some ways you'll drive impact

Lead platform modernization; deprecate legacy workflows, migrate pipelines to scalable patterns, and sharpen our CI/CD and developer experience

Drive infrastructure and FinOps initiatives across Snowflake, Dagster, and dbt; reducing cost, improving governance, and increasing maintainability

Own platform evolution projects like making data consumable by agentic tools and workflows, and improving orchestration across the analytics stack

Design and deliver complex, domain-critical data products used by analysts, data scientists, and product teams to ship features and drive strategy

Architect reusable, extensible patterns for modeling, orchestration, and transformation; balancing flexibility, cost, and long-term maintainability

Lead technical planning across cross-functional teams, breaking down large data initiatives into scoped, sequenced workstreams

Mentor engineers, build internal documentation and tooling, and raise the overall standard for analytics engineering at Upside

Partner with engineering, product, data science, and business stakeholders to deliver end-to-end solutions

Represent Data Engineering in design forums and shape the future roadmap for data at Upside

Why You Should Apply

This role is a good fit for you if

You challenge the status quo when it makes the team and business better and use data to make the case

You thrive at the intersection of systems and storytelling; building robust solutions and communicating their purpose so others can act confidently

You build for resilience and scale, and know when to invest in observability, automation, or new infrastructure to reduce toil

You believe quality starts upstream; you champion early testing, validation, and a culture of getting it right before it breaks downstream

Ideal Qualifications

8+ years in data or analytics engineering with a track record of owning complex, business-critical systems end to end

Hands-on experience with AWS; deployments, workload management, cloud infrastructure and the modern data stack (Snowflake, dbt, Dagster, Databricks, Terraform)

A track record of leading platform migrations, deprecations, or upgrades across shared systems; balancing technical risk, continuity, and long-term maintainability

Ability to design secure, reusable patterns for data ingestion, access control, and platform automation and comfort partnering with Infrastructure, Security, and Governance stakeholders

Experience with DevOps practices (CI/CD for data), data governance, or FinOps

Ability to break down ambiguous, cross-functional problems and lead implementation from design to deployment

Clear communication across all audiences; engineers, analysts, product managers, and business leaders

A genuine drive to mentor others, set standards, and leave every system better than you found it

Preferred Qualifications

Experience supporting ML workflows; building features or monitoring model inputs and outputs

Background in a fast-growing startup or on platform-style teams that serve internal customers

Engineering Culture

We want our engineers to have the time and support to grow in their craft and contribute meaningfully to impactful technical decisions. Engineers are encouraged to focus deeply on their work, collaborate effectively with team members, and continuously develop their skills. Teams are thoughtfully staffed to create a dynamic and diverse environment that enhances learning and innovation.

Location: Remote

Compensation

The US base salary range for this full-time position is $215,000 - $250,000 + 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 more about the specific salary range during the hiring process.

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. We‘re 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 there's anything we can do to support a disability or special need during your application or interview process, please email accommodations@upside.com.

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.