Senior Analytics Engineer - Remote Data Products

CookUnity; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Get paid in USD

Remote work

15 days vacation per year

Argentine holidays

Job summary

CookUnity is seeking an Analytics Engineer to join its Data team. You will own core data products, design scalable data models, and drive observability while collaborating across Product, Engineering, and Operations. The role supports self-serve analytics and AI adoption within the organization.

You will work in a remote-capable environment powered by modern data stacks, with a strong emphasis on data quality, communication, and mentorship to elevate the team’s capabilities.

Qualifications

• 4+ years of experience in Analytics Engineering or similar role with modern data stacks.
• Deep understanding of data modeling principles.
• Proficiency in SQL and Git with production data pipelines.
• Experience translating business needs into data solutions with cross-functional teams.
• Comfort navigating ambiguity in fast-paced environments, with ownership mindset.
• Familiarity with BI tools (Tableau, Hex, Looker).
• Excellent communication for explaining technical concepts.

Responsibilities

• Own Core Data Products
• Build Trustworthy, Scalable Models
• Ensure Reliability and Observability
• Drive Iteration Through Feedback
• Advance AI Adoption in Analytics
• Collaborate Cross-Functionally
• Mentor and Raise the Bar

Skills

Analytics Engineering

SQL

Git

Cross-functional collaboration

Ownership mindset

Communication

Data modeling

Tools

dbt

Fivetran

Airbyte

Airflow

Snowflake

BigQuery

Tableau

Hex

Looker

Job description

CookUnity is seeking an Analytics Engineer to join its Data team. You will own core data products, design scalable data models, and drive observability while collaborating across Product, Engineering, and Operations. The role supports self-serve analytics and AI adoption within the organization.

You will work in a remote-capable environment powered by modern data stacks, with a strong emphasis on data quality, communication, and mentorship to elevate the team’s capabilities.