Mid-Level Data Engineer - Build Scalable ETL Pipelines

AB InBev | Growth Group; United States; Remote; USD 100,000 - 160,000; Full time

Benefits offered by this job

Performance-based bonus

Meal allowance

Health insurance

Private pension plan

Casual office and dress code

Days off

Training programs

Job summary

AB InBev Growth Group is seeking a skilled Data Engineer to implement ETL/ELT solutions and design scalable data pipelines. You will ingest, store, and process large data volumes while collaborating with cross-functional teams to ensure data security and compliance.

Required skills include Python, PySpark, Scala, and SQL, plus experience with cloud platforms (AWS, Azure, GCP) and orchestration tools such as Airflow, Luigi, or Databricks Workflows.

Qualifications

• Bachelor’s degree in CS, Information Systems, or related field.
• Intermediate English proficiency.
• Strong Python/SQL skills for data transformation and cleaning.
• Experience with PySpark and Scala for data processing.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with Airflow, Luigi, or Databricks Workflows.
• Knowledge of data modeling and ETL/ELT best practices.
• Good documentation and version control habits.

Responsibilities

• Implement ETL/ELT solutions and data integration across systems.
• Design and maintain data pipelines for ingest, storage, and processing.
• Collaborate with teams to ensure data security and compliance.
• Improve performance and scalability of data processing systems.

Skills

Python

PySpark

Scala

SQL

Airflow

Databricks

Cloud platforms

ETL/ELT

Data pipelines

Documentation

Education

Bachelor's degree in CS/Engineering/IS or related

Tools

Apache Airflow

Luigi

Mage

Databricks Workflows

Job description

AB InBev Growth Group is seeking a skilled Data Engineer to implement ETL/ELT solutions and design scalable data pipelines. You will ingest, store, and process large data volumes while collaborating with cross-functional teams to ensure data security and compliance.

Required skills include Python, PySpark, Scala, and SQL, plus experience with cloud platforms (AWS, Azure, GCP) and orchestration tools such as Airflow, Luigi, or Databricks Workflows.