Staff Data Engineer

Upside
Washington
Workplace: HybridFull timeUSD 215,000 - 250,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 6+ yearsSkills: ["Communication","Mentorship","Leadership","Problem-solving"]

Lead the design and delivery of foundational data products and analytics platform capabilities, guiding cross-functional teams to enable data-driven product features, ML models, and strategic decisions while improving maintainability and scalability of Upside’s data platform.

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FursaFursa
Upside
Upside
3 months ago

Staff Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Lead the design and delivery of foundational data products and analytics platform capabilities, guiding cross-functional teams to enable data-driven product features, ML models, and strategic decisions while improving maintainability and scalability of Upside’s data platform.
Location: Washington
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key 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.

Pay and Benefits

Salary: USD 215,000 - 250,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDental401kEquityRemote WorkPaid LeaveParental LeaveWellness StipendMeal AllowanceLearning Stipend

Key Requirements

  • •6+ years of experience in data or analytics engineering with a track record of owning complex, business-critical data systems end to end
  • •Deep expertise in SQL and Python for transforming, testing, and orchestrating very large datasets
  • •Fluency with AWS, Snowflake, dbt, and Dagster and ability to design extensible patterns across teams
  • •Experience with DevOps practices for data (CI/CD), data governance, or FinOps (cost-conscious design)
  • •Ability to break down ambiguous, cross-functional data problems and lead end-to-end implementation while collaborating across technical and non-technical teams
Experience:6+ yearsRetailE-commerce
Skills:CommunicationMentorshipLeadershipProblem-solving
Languages:English
Tech Stack:SQLPythonAWSSnowflakeDbtDagsterCI/CD

Company Brief

Upside
Operates a consumer cashback and rewards platform that offers drivers and shoppers rebates on fuel, groceries, and dining by partnering with merchants and payment networks to deliver targeted offers and payments-driven incentives.
Industry: Payments
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Washington, D.C., United States
WebsiteLinkedIn