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Hands-on Data Engineer role on AHEAD's Data Platform team, building and operating production ingestion pipelines, transformations, and reusable data products. Core stack is Snowflake, dbt, SQL, and Python, ingesting from Salesforce, NetSuite, internal AHEAD applications, and approved APIs. Works under the Director, Data Platform in a Kanban engineering team, with emphasis on data quality, access controls, and production support.
The Data Engineer, Data Platform will build and operate the data capabilities that help AHEAD teams access trusted, usable, and well-managed information. This hands-on role will develop and support production ingestion pipelines, transformations, data models, and reusable data products, with an emphasis on Snowflake, dbt, SQL, and Python.
The role will support data coming from enterprise applications and services, including Salesforce, NetSuite, AHEAD applications, and approved APIs. The Data Engineer will make data available for analytics, applications, and automation through consistent engineering patterns, appropriate access controls, and dependable operational practices. The team uses AI-assisted engineering tools to accelerate delivery while maintaining security and code quality.
Working under the Director, Data Platform and alongside other data engineers, this role will partner with Analytics, source-system owners, and data consumers to implement requirements and deliver maintainable solutions through production support.
Compensation: USD 150,000 – 180,000 per year salary
