Azure Data Engineer: Hybrid — Snowflake & Python Pipelines

ACL Digital; Bloomington (IN); On-site; USD 16,000 - 26,000; Full time

Job summary

ACL Digital is hiring a Data Engineer to design and optimize scalable ETL/ELT pipelines using SQL, Python, and Snowflake. The role emphasizes hands-on data engineering, cloud platforms, and collaboration with cross-functional teams in a hybrid setup.

The ideal candidate will have 3–5 years of experience in data engineering, with strong SQL/Python skills and familiarity with Azure, DBT, and Airflow to support data warehousing initiatives.

Qualifications

• 3–5 years of experience in Data Engineering / ETL.
• Strong SQL and Python skills.
• Hands-on experience with Snowflake.
• Experience with Azure Cloud.
• Knowledge of DBT / Airflow.
• Understanding of Data Warehousing and Dimensional Modeling.
• Good communication and problem-solving skills.

Responsibilities

• Develop and maintain scalable ETL/ELT data pipelines.
• Work with Snowflake for data ingestion, transformation, and optimization.
• Develop data pipelines using SQL and Python.
• Implement data quality, validation, monitoring, and troubleshooting.
• Work with cross-functional teams to deliver data solutions.
• Follow Git, code review, and CI/CD best practices.

Skills

SQL

Python

Data Warehousing

Dimensional Modeling

Communication

Tools

Snowflake

Azure Cloud

DBT

Airflow

Job description

ACL Digital is hiring a Data Engineer to design and optimize scalable ETL/ELT pipelines using SQL, Python, and Snowflake. The role emphasizes hands-on data engineering, cloud platforms, and collaboration with cross-functional teams in a hybrid setup.

The ideal candidate will have 3–5 years of experience in data engineering, with strong SQL/Python skills and familiarity with Azure, DBT, and Airflow to support data warehousing initiatives.