Senior Analytics Engineer

United States Digital Space LLC; Boston (MA); Hybrid; USD 150,000 - 185,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior Analytics Engineer in Boston, MA. This hybrid role focuses on owning the data transformation layer end-to-end, ensuring high-quality analytics relied upon by the company.

The ideal candidate has 5+ years of experience, strong SQL skills, and proficiency with tools like dbt and Looker. This position does not offer visa sponsorship, so local candidates are preferred.

Qualifications

• 5+ years in analytics/data engineering.
• Deep hands-on dbt experience.
• Strong SQL skills.

Responsibilities

• Own the data transformation layer end-to-end.
• Build clean, well-modeled datasets for reporting.
• Partner with teams to fix data quality at the source.

Skills

SQL

dbt

Redshift

Postgres

Looker (LookML)

Fivetran

Airflow

Salesforce

Job description

the company | Senior Analytics Engineer | Boston, MA | HYBRID | $150k-$185k + equity

the company is a fast-growing Medicare brokerage on a mission to empower older Americans to make confident, worry-free Medicare plan decisions. We offer a tech-enabled Medicare navigation platform that combines AI-driven technology with local Medicare experts to help people select optimal healthcare plans and navigate their benefits. Backed by leading investors such as Khosla Ventures, we are building technology to transform the trillion dollar Medicare insurance industry, impacting the lives of 67 million people in the US.

We are looking for a Senior Analytics Engineer to own our data transformation layer end-to-end. You will build the clean, well-modeled, documented datasets that the entire company relies on, spanning board-level book-of-business reporting (policy count, retention, effectuation, commissions), stakeholder self-service through Looker, and AI-driven exploration through tools like Claude. This is a high-leverage senior IC role: the quality of our analytics, forecasts, and operating decisions all depend on the foundation you build. You'll partner directly with Engineering, Finance, and Operations to fix data quality at the source, not downstream.

Tech stack:

• SQL
• dbt
• Redshift
• Postgres
• Looker (+ LookML)
• Fivetran
• Airflow
• Salesforce

We're looking for 5+ years in analytics/data engineering, deep hands-on dbt experience, strong SQL, and a track record of turning messy datasets into a trusted single source of truth. Bonus points for retention/lifecycle modeling, Looker administration, prepping datasets for AI consumption, or Medicare/insurance experience.

This is a hybrid position in our new Boston office near South Station, so local candidates only please. Unfortunately we are unable to do visa sponsorships at this time.