Alloy
Senior Analytics Engineer
$180K–$220K
Alloy New York · Senior · Full-time · Posted Jul 7, 2026
- Experience
- 5+ years in analytics engineering, data engineering, or a closely related role.
About the job
Build and govern trusted data models, semantic-layer assets, and warehouse data products for internal teams and Alloy customers.
What you'll do
- Build dbt models and evolve the semantic layer for analytics, machine learning features, and customer-facing data products.
- Partner with Engineering, Data Science, Product, and client-facing teams on Snowflake performance, data delivery, and data quality.
- Establish team practices for modeling, testing, documentation, code review, observability, and governance.
What they ask for
- 5+ years of experience in analytics engineering, data engineering, or a closely related role, with strong command of dbt and SQL.
- Hands-on experience with Snowflake or a comparable cloud data warehouse, including performance tuning and warehouse design.
- Experience building or maintaining a semantic layer or metrics layer.
- Must be local to New York City; hybrid work with Tuesday-Thursday in-office at the Union Square HQ.
Nice to have
- Experience with Artie or similar streaming/replication tools.
- Experience with native warehouse data delivery or data sharing patterns.
Pay
$180,000 - $220,000 (base salary, USD)
Tools
dbt, SQL, Snowflake, Artie, MetricFlow, Snowflake Data Sharing, Looker, Tableau
AI focus
Develop and maintain a semantic layer that supports emerging agentic tooling; models also support machine learning features. Exposure to agentic or LLM-based workflows is a nice-to-have.
Model-written summary · the original posting is authoritative