Senior Analytics Engineer: Scalable dbt Pipelines

United States Digital Space LLC; Boston (MA); On-site; USD 112,000 - 168,000; Full time

Job summary

United States Digital Space LLC seeks a Senior Analytics Engineer to own end-to-end data pipelines and modeling for Sales and Product, building trusted data products and partnering with GTM, Product, and Engineering.

You’ll design dimensional models in Snowflake using dbt, ingest data from Salesforce and ERP, and enable reverse ETL to operationalize insights; strong SQL, Python, and Airflow are required.

Qualifications

• 5+ years of experience in analytics or data engineering in a modern data stack (Snowflake, BigQuery, or Redshift).
• Strong expertise in SQL and dbt, with a focus on building scalable, production-grade data models.
• Proficiency in Python (or similar) for orchestration or tooling.
• Experience owning end-to-end data workflows, from ingestion to business impact.
• Ability to translate ambiguous business needs into structured data solutions.

Responsibilities

• Data Modeling & Pipelines: Build and maintain production-grade dbt models in Snowflake.
• Integrations & Ingestion: Own ingestion from systems like Salesforce, ERP, and product data sources.
• Reverse ETL: Push high-value data models into downstream tools and workflows.
• Data Quality & Governance: Implement testing frameworks, monitoring, and documentation to ensure trust and compliance.
• Cross-Functional Partnership: Work closely with Sales Ops, Product Managers, Engineering, Finance, and GTM teams.
• Repository Stewardship: Maintain dbt codebase, enforce best practices, and ensure scalability.
• Tooling & Infrastructure: Contribute to Airflow, Terraform, AWS, and other platform tools as needed.

Skills

SQL

dbt

Python

Airflow

Snowflake

BigQuery

Redshift

Tools

Terraform

AWS

Fivetran

Workato

Job description

United States Digital Space LLC seeks a Senior Analytics Engineer to own end-to-end data pipelines and modeling for Sales and Product, building trusted data products and partnering with GTM, Product, and Engineering.

You’ll design dimensional models in Snowflake using dbt, ingest data from Salesforce and ERP, and enable reverse ETL to operationalize insights; strong SQL, Python, and Airflow are required.