Staff 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.

About the role:

We're looking for a Staff Data Engineer to serve as a technical leader on the Analytics Engineering team. In this role you'll drive the design and implementation of foundational data products and analytics platform capabilities that power Upside’s most critical product and business use cases. You’ll lead cross-functional workstreams shape patterns and architecture across teams and elevate the overall quality and impact of data work at Upside.

This role is ideal for someone who enjoys deep technical problem-solving cares about quality and long-term maintainability and is motivated by helping others work more effectively with data.

Here are some ways we have seen analytics engineers drive impact at Upside:

• Design and deliver highly complex domain-critical data products used by analysts data scientists and product teams to unlock new product features ML models and strategic decisions.

• Architect scalable extensible patterns for modeling orchestration and data transformation—balancing flexibility reusability and cost-efficiency.

• Own platform evolution projects such as migrating the data platform to Snowflake Semantic Views extending Cortex or improving orchestration tooling for analytics workflows.

• Lead technical planning and delivery across cross-functional teams breaking down complex data initiatives into scoped sequenced workstreams implemented by you and others.

• Drive platform adoption and best practices mentoring other engineers building internal documentation and tooling and raising the overall bar for analytics engineering across the company.

• Influence upstream and downstream teams partnering with engineering product data science and business stakeholders to align on requirements and deliver end-to-end solutions.

• Represent Analytics Engineering in technical design forums and contribute to roadmap discussions that shape the future of data at Upside.

Why You Should Apply

This role is a good fit for you if:

• You aren’t afraid to challenge the status quo when it makes the team and business better. You learn from those around you while utilizing data to advocate for informed change.

• You thrive at the intersection of systems and storytelling not only building robust solutions but also communicating their purpose impact and rationale so teams can experiment iterate and act confidently.

• You care about building resilient systems that scale. You bring a mindset of continuous improvement and know when to invest in observability automation or new infrastructure to reduce toil and improve outcomes for the team and end users.

• You believe that pulling quality upstream starts with engineering. You champion best practices encourage early testing and validation and work closely with peers to build a culture of quality from the ground up.

Ideal Qualifications

• Have 6+ years of experience in data or analytics engineering with a track record of owning complex business-critical data systems end to end.

• Have deep expertise in SQL and Python particularly for transforming testing and orchestrating very large datasets.

• Are fluent with platforms like AWS Snowflake dbt and Dagster and can design extensible patterns to be used across teams.

• Experience with DevOps practices (e.g. CI/CD for data) data governance or FinOps (cost-conscious design).

• Can break down ambiguous cross-functional data problems and lead the implementation from design to deployment collaborating across technical and non-technical teams.

• Proactively identify opportunities to improve the analytics platform and are comfortable designing and implementing impactful reusable solutions.

• Communicate clearly across audiences from engineers and analysts to product managers and business leaders.

• Understand how to balance business value maintainability and platform standards in your design decisions.

• Are excited about the opportunity to mentor others set standards and leave systems better than you found them.

Preferred Qualifications

• Experience supporting machine learning workflows such as building features or monitoring model inputs and outputs.

• Familiarity with DevOps practices (e.g. CI/CD for data) data governance or FinOps (cost-conscious design).

• Experience working in a fast-growing startup environment 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:

This role offers location flexibility however if you’re based in the Washington D.C. Austin Chicago or NYC metropolitan regions in-office attendance is required on a hybrid basis.

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.

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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 [email protected].

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.

What We Do

Upside is a technology company that increases the financial power of people and businesses in the real world. Our technology has helped millions of people get more purchasing power on the things they need and tens 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 retailers the consumers they serve and towards important sustainability initiatives.

Why Work With Us

We proactively apply our company values in everything we do so that we develop thoughtful leaders create inclusive spaces and develop creative solutions for our communities inside and outside the office.

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