Data Engineer

The Data Engineer, Data Platform will build and operate the data capabilities that help AHEAD teams access trusted, usable, and well-managed information. This role will develop ingestion pipelines, transformations, data models, and curated data products in the modern cloud data platform, with an emphasis on Snowflake and dbt.

The role will support data coming from enterprise applications and services, including Salesforce, Hatch, NetSuite, Signal, and approved APIs. The Data Engineer will help make data available for analytics, applications, automation, and AI-enabled workflows through consistent engineering patterns,documented definitions, appropriate access controls, and dependable operational practices. Active use of AI throughout the software development lifecycle is a core expectation of this role, including AI-assisted code generation, automated testing, documentation, troubleshooting, and review with appropriate human validation.

Working under the Director, Data Platform and alongside the Data Governance Lead, this role will contribute to a product-oriented engineering team. The role will partner with data consumers and other engineering teams to understand requirements, deliver useful platform capabilities, and improve the speed and consistency of data delivery.

### Duties/Responsibilities

• Build, maintain, and improve batch and low-latency data ingestion pipelines from enterprise systems, APIs, and other approved sources.
• Follow the AI SDLC by actively using approved AI coding tools and agents to generate, refactor, explain, and review code; validate generated output through engineering judgment, testing, and peer review.
• Use AI to generate and improve unit, integration, data-quality, and regression tests, then verify that automated tests accurately validate the intended behavior.
• Use AI-assisted workflows to create and maintain technical documentation, data-product documentation, runbooks, lineage notes, and change summ