AI Data Engineer

IntegriChain

AI Data Engineer building data foundations for enterprise AI products at IntegriChain. Designing Snowflake and dbt pipelines, creating semantic models, and collaborating with data teams.

Posted 5/19/2026full-timeRemote • Philadelphia • Pennsylvania • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable
Design and implement Snowflake and dbt pipelines from raw source data to curated gold-layer datasets
Create semantic models that LLM tools can use reliably
Partner with data science, product, and engineering teams to convert data dictionaries and business definitions into AI-ready data products

Requirements

What you’ll need

6+ years of experience in data engineering, analytics engineering, database engineering, or data platform development in production environments
Strong hands-on experience with Snowflake, including SQL development, performance tuning, security-aware design, cost optimization, and large-volume processing
Strong hands-on experience with dbt or comparable ELT tooling, including models, tests, documentation, lineage, and environment promotion
Experience building raw-to-curated-to-gold data pipelines and business-ready datasets
Strong SQL and Snowflake development skills, including complex transformations, views, stored procedures/Snowflake Scripting, and query optimization
Experience creating semantic layers, semantic models, metrics, dimensions, relationships, and curated analytical views
Good understanding of ER modeling, dimensional modeling, denormalized consumption models, and data grain management
Experience translating data dictionaries and business definitions into physical models, dbt models, and semantic-layer definitions
Understanding of Snowflake Cortex capabilities such as Cortex Analyst, Cortex Complete, and semantic-model-driven natural-language querying
Ability to partner with data science, product, engineering, and business teams to deliver AI-ready data products

Benefits

Comp & perks

Excellent and affordable medical benefits
Flexible Paid Time Off
Paid Parental Leave
401(k) Plan with a Company Match

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringanalytics engineeringdatabase engineeringdata platform developmentSQLSnowflakedbtdata pipelinessemantic modelsER modeling

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinkingattention to detail