Senior Data Engineer - Cloud ETL & Analytics

Job Post; Town of Texas (WI); On-site; USD 100,000 - 150,000; Full time

Job summary

Walgreens is seeking a Data Engineer to design, develop, and maintain scalable data pipelines using Python, SQL, Spark/PySpark, and cloud platforms. You will leverage Databricks, Snowflake, Airflow, and dbt to build robust data solutions that support analytics and decision-making, while collaborating with cross-functional teams to modernize data infrastructure.

The role requires leadership experience at the senior level and involves working with complex data architectures in a fast-paced

Qualifications

• Senior Leadership experience overseeing multiple departments or directors.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data solutions.
• Work with Python, SQL, Spark/PySpark to implement ETL/ELT processes.
• Utilize Databricks, Snowflake, Airflow, and dbt for data orchestration and modeling.
• Collaborate with cross-functional teams to translate requirements into reliable data solutions.
• Troubleshoot production issues and optimize performance and scalability.

Skills

Python

SQL

Spark/PySpark

cloud technologies

Tools

Databricks

Snowflake

Airflow

dbt

Job description

Walgreens is seeking a Data Engineer to design, develop, and maintain scalable data pipelines using Python, SQL, Spark/PySpark, and cloud platforms. You will leverage Databricks, Snowflake, Airflow, and dbt to build robust data solutions that support analytics and decision-making, while collaborating with cross-functional teams to modernize data infrastructure.

The role requires leadership experience at the senior level and involves working with complex data architectures in a fast-paced