Design, implement, and manage scalable data pipelines and analytics platforms.
Build and maintain dbt models to support customer projects and internal decision making.
Work with internal stakeholders to ensure data products are research-ready and aligned with customer needs
Implement and manage data instrumentation and product analytics tooling (e.g. Mixpanel) to ensure accurate tracking and reporting
Identify opportunities for optimizing data workflows and proactively address technical debt.
Partner with Engineering, Data Science, and Commercial teams to translate business and client needs into reliable, scalable data solutions

Requirements

5+ years of experience in data engineering or analytics roles in a startup or high growth environment.
Proficiency in SQL and experience with dbt for data modeling and transformations.
Strong experience with modern data warehouse platforms (Snowflake, BigQuery, Redshift)
Strong understanding of data architecture, ETL processes, and pipeline management.
Proven ability to manage and own data products end-to-end, ideally from scratch.
Experience with cloud platforms (AWS, GCP, etc.) for data storage and processing.
Familiarity with product analytics tooling (e.g. Mixpanel) and modern BI tools (e.g. Looker, Tableau, Metabase)
Clear communicator who can translate complex technical concepts for non-technical stakeholders
Proven ability to operate effectively in ambiguous, fast-moving environments
Builds well-documented, maintainable systems with a focus on long-term scalability
Leverages AI tooling to improve system design, accelerate documentation, and automate repetitive workflows

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLdbtdata modelingdata transformationsdata architectureETL processespipeline managementdata products managementcloud platformsAI tooling

Soft Skills

clear communicationtranslating technical conceptsoperating in ambiguous environmentsbuilding maintainable systemsfocus on scalability