Senior Data Engineer: Scalable ETL Pipelines (Python/SQL)

Phaxis; Nashville (TN); On-site; USD 90,000 - 130,000; Full time

Job summary

Phaxis is seeking a Data Engineer to build and maintain ETL pipelines using Python and SQL in Nashville, TN. The role focuses on delivering scalable data solutions and reliable data flows to support analytics and reporting.

Responsibilities include extracting data from multiple sources, cleaning and transforming large datasets, and optimizing data models and SQL queries. Collaboration with analysts and business teams is essential to ensure impactful results.

Qualifications

• Experience building ETL/ELT pipelines using Python and SQL.
• Ability to design scalable data pipelines and models.
• Strong collaboration across analysts and business teams.

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python and SQL
• Build scalable and reliable data pipelines to support business needs
• Extract, transform, and load data from multiple sources
• Clean, validate, and transform large datasets for analytics and reporting
• Design and optimize data models, workflows, and SQL queries
• Troubleshoot and improve pipeline performance, data quality, and reliability
• Collaborate with analysts, business teams, and technical teams to deliver effective data solutions

Skills

Python

SQL

ETL/ELT pipelines

Job description

Phaxis is seeking a Data Engineer to build and maintain ETL pipelines using Python and SQL in Nashville, TN. The role focuses on delivering scalable data solutions and reliable data flows to support analytics and reporting.

Responsibilities include extracting data from multiple sources, cleaning and transforming large datasets, and optimizing data models and SQL queries. Collaboration with analysts and business teams is essential to ensure impactful results.