Build production-grade GenAI-enabled analytics solutions that integrate enterprise data sources
Establish end-to-end LLM pipelines with evaluation frameworks, observability, and validation guardrails
Lead technical scoping for GenAI use cases
Design and own analytics-ready data models
Develop and maintain robust data pipelines and orchestration
Write and optimize complex SQL for transformation and analysis
Partner closely with business stakeholders to turn ambiguous questions into well-scoped requirements
Use AI tools to accelerate development responsibly
Define best practices for GenAI in analytics engineering

Requirements

8+ years in analytics engineering, data engineering, data science, or related roles
Bachelor’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related field
Strong understanding of LLM fundamentals and practical tradeoffs
Expert SQL skills (complex joins, window functions, CTEs, query optimization)
Hands-on experience with dimensional modeling and workflow orchestration tools
Demonstrated ability to validate AI-assisted output
High integrity and ownership to handle sensitive enterprise data
Strong stakeholder communication with the ability to explain technical constraints to non-technical partners
Experience with GenAI coding tools

Benefits

Competitive salary
Equity eligibility
Flexible work arrangements
Health insurance
Wellness programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GenAIanalytics solutionsLLM pipelinesSQLdata modelingdata pipelinesworkflow orchestrationAI toolsdimensional modelingquery optimization

Soft Skills

stakeholder communicationtechnical scopingproblem-solvingintegrityownershipcollaborationexplanation of technical constraintsresponsibilityvalidation of AI outputturning ambiguous questions into requirements

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in StatisticsBachelor’s degree in Data ScienceBachelor’s degree in Mathematics