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Assembled Logo Assembled · IT - Software Development

Software Engineer - Data Infrastructure

United States, New York City 135000.00 - 280000.00 USD / Year · Job Posted February 18, 2026
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Job Description

We’re looking for an experienced software engineer to help shape the foundation of Assembled’s data systems. You’ll join our Data Infrastructure team, a close partner to both our Core Infrastructure and AI Infrastructure teams, to own how data is modeled, stored, and served across the company. This work powers everything from customer-facing dashboards to internal analytics and AI-driven product features.

Job Responsibility

  • Design and build systems that power both the storage and retrieval of analytical data
  • Own the transformation layer that models data for fast, consistent metric queries
  • Define and maintain the metrics layer that supports dashboards, exports, APIs, and internal tools
  • Collaborate with product, infrastructure, and Assist teams to build rich reporting experiences—like helping customers measure ROI on AI adoption
  • Manage scalable pipelines that move and transform production data for analysis
  • Instrument observability into the data platform, including freshness, lineage, and correctness

Requirements

  • Experience working with modern data warehouses (e.g., Snowflake, BigQuery) and understand their performance characteristics
  • Have built or maintained end-to-end ELT pipelines and are comfortable choosing the right level of precomputation
  • Have designed or worked closely with a metrics or semantic layer, and understand how to define metrics that are consistent, queryable, and performant across reporting surfaces
  • Are comfortable reasoning about systems tradeoffs—latency, cost, developer velocity, and reliability
  • Take pride in building systems that are clear, maintainable, and empower others
  • Have strong SQL fluency and are comfortable reading query plans, debugging slow queries, and optimizing for performance

Nice to have

  • Experience with semantic layer tools like Cube, MetricFlow, or Looker’s LookML
  • Familiarity with analytics-focused software engineering (e.g., event tracking, funnel analysis, experiment platforms)
  • Experience modernizing legacy data systems or planning large-scale migrations
  • Experience collaborating cross-functionally with AI/ML teams or product managers focused on AI systems

What we offer

  • Generous medical, dental, and vision benefits
  • Paid company holidays, sick time, and unlimited time off
  • Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting
  • Paid parental leave
  • Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices
  • 401(k) plan enrollment
  • Stock options
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