Software Engineer - Data Infrastructure Job at Assembled (New York City)

Software Engineer - Data Infrastructure

Assembled

Location:
United States , New York City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

135000.00 - 280000.00 USD / Year

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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

Additional Information:

Job Posted:
February 18, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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