Senior Analytics Engineer - Data Platform (Hybrid NYC)

United States Digital Space LLC; New York (NY); Hybrid; USD 225,000 - 275,000; Full time

Benefits offered by this job

Unlimited PTO

Employee stock options

Medical, dental, vision with HSA

401k with match

Parental leave

Home office stipend

Learning stipend

Well-being benefits

Hybrid work Tue–Thu in Manhattan

Job summary

United States Digital Space LLC is seeking a Senior Analytics Engineer in New York City for an early, high-leverage Analytics Engineering function. You will model, govern, and expose data across teams, building robust dbt models and a semantic layer to support internal analytics and client-facing data products.

You will collaborate with Data Science, Product, and Engineering to ensure a reliable, scalable data platform on Snowflake, with a focus on standards, testing, and documentation.

Qualifications

• 5+ years of experience in analytics engineering or data engineering.
• Strong command of dbt and SQL.
• Hands-on experience with Snowflake or comparable cloud data warehouse.
• Experience building/maintaining a semantic or metrics layer (dbt Semantic Layer, MetricFlow).
• Strong data modeling fundamentals with opinions on denormalization and slowly changing dimensions.

Responsibilities

• Design and build robust dbt models as the authoritative foundation for analytics and data products.
• Own and evolve the semantic layer with metrics and dimensions for internal and external users.
• Collaborate with Engineering and Data Science to ensure a well-structured, performant Snowflake data warehouse.
• Establish best practices for data modeling, testing, documentation, and code reviews.
• Deliver native warehouse data delivery to customers and partners.
• Identify data quality issues and build observability and governance frameworks.

Skills

dbt

SQL

Snowflake

Semantic Layer

Data Modeling

CDC Tools

Artie

Looker

Tableau

Tools

dbt

Snowflake

Looker

Tableau

Artie

Job description

United States Digital Space LLC is seeking a Senior Analytics Engineer in New York City for an early, high-leverage Analytics Engineering function. You will model, govern, and expose data across teams, building robust dbt models and a semantic layer to support internal analytics and client-facing data products.

You will collaborate with Data Science, Product, and Engineering to ensure a reliable, scalable data platform on Snowflake, with a focus on standards, testing, and documentation.