Remote Data Engineer II — HIPAA-ready ETL & PySpark

Emory University; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Emory University is seeking a data engineer to design and maintain scalable data pipelines and ETL/ELT processes that ensure data quality and HIPAA-compliant governance. You will collaborate with researchers and stakeholders to translate complex requirements into robust data solutions while supporting remote work.

The role requires proficiency in Python, SQL, and Apache Spark (PySpark), plus experience with Azure Fabric, Azure Synapse, or Databricks.

Qualifications

• Bachelor's degree in a related field and three years of experience, or equivalent combination.
• Proficiency in Python, SQL, and Apache Spark (PySpark).
• Experience with Azure Fabric, Azure Synapse, or Databricks.
• Full remote work with occasional visits to an Emory University location.
• Eastern (EST) time zone business hours may apply.
• Not eligible for visa sponsorship.

Responsibilities

• Collaborate with researchers and stakeholders to gather requirements and translate into technical solutions.
• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Ensure data quality, integrity, and compliance with HIPAA and institutional data governance.

Education

Bachelor's degree in a related field

Tools

Python

SQL

Apache Spark (PySpark)

Job description

Emory University is seeking a data engineer to design and maintain scalable data pipelines and ETL/ELT processes that ensure data quality and HIPAA-compliant governance. You will collaborate with researchers and stakeholders to translate complex requirements into robust data solutions while supporting remote work.

The role requires proficiency in Python, SQL, and Apache Spark (PySpark), plus experience with Azure Fabric, Azure Synapse, or Databricks.