Staff Analytics Engineer jobs in United States
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Upside · 3 months ago

Staff Analytics Engineer

Upside is a company focused on transforming brick-and-mortar commerce through advanced technology. The Staff Analytics Engineer will serve as a technical leader on the Analytics Engineering team, driving the design and implementation of foundational data products and analytics capabilities that support critical business use cases.

AppsBusiness DevelopmentData ManagementMarketplaceMobile AppsRetailRetail Technology
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H1B Sponsor Likelynote

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

Qualification

Data EngineeringSQLPythonAWSSnowflakeDbtDagsterDevOps PracticesContinuous ImprovementCommunication SkillsMentoringCross-functional Collaboration

Required

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

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

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!

Company

Upside is a two-sided marketplace focused on driving value to all points of brick and mortar commerce.

H1B Sponsorship

Upside has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (1)
2022 (1)

Funding

Current Stage
Late Stage
Total Funding
$165M
Key Investors
General Catalyst
2022-04-26Series D· $65M
2022-04-26Debt Financing· $100M
2020-08-31Series C

Leadership Team

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Alex Kinnier
Co-founder & CEO
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Jan Rubio
Co-founder
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Company data provided by crunchbase