Data Engineer

thinkahead

United States

On-site

USD 110,000 - 165,000

Full time

3 days ago
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Job summary

AHEAD is seeking a Data Engineer, Data Platform to build and operate data capabilities across the enterprise. You will develop ingestion pipelines, transformations, data models, and curated data products in the modern cloud data platform with a focus on Snowflake and dbt.

You will collaborate with data consumers and other engineering teams, support data from Salesforce and other apps, enforce access controls, and promote AI-assisted practices across the development lifecycle.

Responsibilities

  • Build ingestion pipelines, transformations, data models, and curated data products in the modern cloud data platform with emphasis on Snowflake and dbt.
  • Support data from enterprise applications and services, including Salesforce, Hatch, NetSuite, Signal, and approved APIs.
  • Ensure data is available for analytics, applications, automation, and AI-enabled workflows through consistent engineering patterns, documented definitions, access controls, and dependable operational practices.
  • Promote AI-assisted code generation, automated testing, documentation, troubleshooting, and human-validated review within the SDLC.

Job description

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.

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