Principal Data Engineer

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.

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. 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.

About the role:

Were looking for a Principal Data Engineer to be the technical backbone of our Analytics Engineering team. Youll architect and evolve the data platform that powers Upsides 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 (2000 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 youll 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 $215000 - $250000 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. 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:

Staff IC