Upside
About Upside
Upside transforms brick‑and‑mortar commerce with AI‑powered insights that help consumers earn 2–3× more cashback and retailers grow measurable profit. Billions of dollars in commerce run through the Upside platform every year, driving value for retailers, consumers and sustainability initiatives. About the Role
As a Staff Analytics Engineer you will be a technical leader on the Analytics Engineering team, driving the design and implementation of foundational data products and analytics platform capabilities that power Upside’s most critical product and business use cases. You will lead cross‑functional workstreams, shape patterns and architecture across teams, and elevate the overall quality and impact of data work at Upside. Responsibilities
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. Ideal Qualifications
6+ years of experience in data or analytics engineering, owning complex, business‑critical data systems end to end. Deep expertise in SQL and Python for transforming, testing and orchestrating very large datasets. Fluent with platforms like AWS, Snowflake, dbt and Dagster, and can design extensible patterns to be used across teams. Experience with DevOps practices (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 design decisions. Excited about mentoring others, setting standards and leaving 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 (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. Location
This hybrid role is based in our Austin, Chicago, DC or NYC office. In‑office attendance is required on Monday, Tuesday and Thursday and may increase based on project‑based needs and changes to Upside’s in‑office policy over time. 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 and 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.
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Upside transforms brick‑and‑mortar commerce with AI‑powered insights that help consumers earn 2–3× more cashback and retailers grow measurable profit. Billions of dollars in commerce run through the Upside platform every year, driving value for retailers, consumers and sustainability initiatives. About the Role
As a Staff Analytics Engineer you will be a technical leader on the Analytics Engineering team, driving the design and implementation of foundational data products and analytics platform capabilities that power Upside’s most critical product and business use cases. You will lead cross‑functional workstreams, shape patterns and architecture across teams, and elevate the overall quality and impact of data work at Upside. Responsibilities
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. Ideal Qualifications
6+ years of experience in data or analytics engineering, owning complex, business‑critical data systems end to end. Deep expertise in SQL and Python for transforming, testing and orchestrating very large datasets. Fluent with platforms like AWS, Snowflake, dbt and Dagster, and can design extensible patterns to be used across teams. Experience with DevOps practices (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 design decisions. Excited about mentoring others, setting standards and leaving 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 (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. Location
This hybrid role is based in our Austin, Chicago, DC or NYC office. In‑office attendance is required on Monday, Tuesday and Thursday and may increase based on project‑based needs and changes to Upside’s in‑office policy over time. 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 and 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.
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