Senior Analytics Engineer - AI-First Data Foundations

jobgether; New York (NY); Remote; USD 185,000 - 225,000; Full time

Benefits offered by this job

Equity opportunities

Fully remote in the United States

Full-time employment

High-impact technical work

Autonomy and ownership

Innovation-focused environment

Job summary

Jobgether is seeking a Senior Analytics Engineer to build a trusted decision intelligence layer, transforming warehouse data into reliable models, standardized metrics, and AI-ready analytical tools that unify customers, accounts, projects, and contracts across systems.

As an early, AI-first member you will own data quality controls, define metrics, and partner with Sales, Product, and Finance to deliver reusable data products and scalable analytics, with autonomy and impact.

Qualifications

• Strong SQL and Python expertise
• Ownership of semantic or metrics layers
• Hands-on experience with dbt/Cube/LookML or equivalent
• Advanced data modeling judgment
• Demonstrated AI-native working practices
• Experience with production data environments
• Ability to deliver in an ambiguous, early-stage environment
• Strong communication and documentation skills
• Collaborative problem-solving across functions

Responsibilities

• Build and maintain the gold data layer across systems
• Own the semantic and metrics layer with standardized definitions
• Develop AI-ready data interfaces and MCPs
• Establish data quality controls and monitoring
• Evaluate AI-generated analytical outputs and ensure accuracy
• Translate business questions into reusable data products
• Drive engineering standards and team foundations
• Integrate AI tools into development and analytics workflows

Skills

SQL expertise

Python expertise

Semantic/metrics layers

dbt/Cube/LookML

Data modeling

AI-native practices

Production data environments

Communication/docs

Collaborative problem solving

Tools

dbt

Cube

LookML

Job description

Jobgether is seeking a Senior Analytics Engineer to build a trusted decision intelligence layer, transforming warehouse data into reliable models, standardized metrics, and AI-ready analytical tools that unify customers, accounts, projects, and contracts across systems.

As an early, AI-first member you will own data quality controls, define metrics, and partner with Sales, Product, and Finance to deliver reusable data products and scalable analytics, with autonomy and impact.