Analytics Engineer, Data Platform

Upside
Washington, New York, Austin, Chicago
Workplace: HybridFull timeUSD 149,000 - 180,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 3-5 yearsSkills: ["Communication","Tradeoff analysis","Documentation","Coaching","Collaboration"]

Own a scoped domain of dbt models for the data platform powering offers, lifecycle messaging, and partner launches across the Upside commerce ecosystem. You’ll design, build, test, ship, and monitor models in a version-controlled workflow, write clear design docs and runbooks, and improve reliability with monitoring and alerting. Partner closely with Marketing, Data, and MarTech, support a team rotation, and help coach engineers while working with Snowflake, AWS, and modern orchestration tools.

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FursaFursa
Upside
Upside
2 days ago

Analytics Engineer, Data Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 45 minutes agoStatus: Live

Job Summary

Own a scoped domain of dbt models for the data platform powering offers, lifecycle messaging, and partner launches across the Upside commerce ecosystem. You’ll design, build, test, ship, and monitor models in a version-controlled workflow, write clear design docs and runbooks, and improve reliability with monitoring and alerting. Partner closely with Marketing, Data, and MarTech, support a team rotation, and help coach engineers while working with Snowflake, AWS, and modern orchestration tools.
Location: Washington, New York, Austin, Chicago
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, build, test, ship, and monitor a scoped domain of dbt models with clear structure.
  • •Translate ambiguous asks from Marketing and Product into scoped work and communicate tradeoffs.
  • •Write design docs and break work into pieces teammates can pick up.
  • •Add monitoring and alerting so issues are caught before stakeholders.
  • •Participate in support rotation to debug failures and prevent repeats, leaving runbooks and documentation behind.

Pay and Benefits

Salary: USD 149,000 - 180,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kEquityPaid LeaveParental LeaveGym MembershipLearning Budget

Key Requirements

  • •3–5 years in data or analytics engineering (or comparable work).
  • •Fluency in SQL, including window functions and complex joins, with attention to query performance.
  • •Owned dbt models in a version-controlled repo, including conventions, tests, and CI.
  • •Working knowledge of Python for orchestration, transformations, and tests.
  • •Experience with Snowflake (or comparable warehouse) and the ability to reason about modeling tradeoffs.
Experience:3-5 yearsSaaSData platformAnalytics engineering
Skills:CommunicationTradeoff analysisDocumentationCoachingCollaboration
Tech Stack:SnowflakeDbtDagsterAWSSQLPythonBrazeIterableSegmentAirflowCI/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