Data Engineer: Snowflake, dbt & Data Pipelines

EBSCO Industries

Birmingham (AL)

Presencial

USD 110.000 - 150.000

Jornada completa

14 días+

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Descripción de la vacante

Moultrie is seeking a Data Engineer to join the growing Data and Analytics Team in Birmingham, AL. You will help maintain and enhance the data layer in Snowflake, building pipelines from multiple sources and enabling analytics across the business.

Ideal candidates have full-stack data development experience, strong SQL and Python skills, and the ability to work with stakeholders across marketing, operations, and finance to deliver reliable BI-driven insights.

Formación

  • 4+ years of data engineering or analytics engineering with hands-on production pipelines.
  • Strong SQL proficiency with modular logic in dbt.
  • Python for ingestion, transformation, and automation such as webscraping.
  • Experience with Git, code reviews, branching, and CI/CD basics.

Responsabilidades

  • Design, build, and maintain pipelines moving data from source systems into Snowflake with documented ingestion patterns and alert systems for failures.
  • Model data at bronze, silver, gold, and platinum levels in dbt with tests and documentation.
  • Build semantic models translating datasets for natural language querying.
  • Evaluate downstream tools and align data builds with project and business needs.
  • Translate business questions into reliable models, coordinating with the DnA Lead and cross-functional teams.
  • Collaborate with data scientists to support predictive modeling efforts.

Conocimientos

SQL
Python
Git
CI/CD
Data modeling

Herramientas

Snowflake
dbt
Azure Data Factory
Fivetran
Airflow
API integration

Descripción del empleo

Moultrie is seeking a Data Engineer to join the growing Data and Analytics Team in Birmingham, AL. You will help maintain and enhance the data layer in Snowflake, building pipelines from multiple sources and enabling analytics across the business.

Ideal candidates have full-stack data development experience, strong SQL and Python skills, and the ability to work with stakeholders across marketing, operations, and finance to deliver reliable BI-driven insights.

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