Senior Data Engineer

HeartCentrix Solutions; Dallas (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

HeartCentrix Solutions is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines powering enterprise analytics in a cloud environment.

You will work with Azure and Databricks to deliver reliable ETL solutions, ensure data quality, and collaborate with Agile teams to drive analytics initiatives.

Qualifications

• 7+ years of data engineering experience.
• 5+ years working in Agile environments.
• 3–5 years of hands-on experience with Databricks, PySpark, and Python.
• 3+ years of experience with Azure Data Factory.
• 3–5 years of experience with data validation and data quality processes.
• Strong problem-solving skills and ability to work independently.

Responsibilities

• Design and develop ETL pipelines using Databricks, PySpark, Python, and Azure Data Factory.
• Build and optimize data integration and transformation processes.
• Perform data validation and ensure data quality across pipelines.
• Collaborate with Agile teams to deliver scalable data solutions.
• Support Azure-based data platforms and analytics projects.

Skills

Problem solving

Agile experience

Tools

Databricks

PySpark

Python

Azure Data Factory

Job description

We're looking for a Senior Data Engineer to build and maintain scalable data pipelines supporting enterprise analytics initiatives. You'll work with Azure and Databricks technologies to develop reliable ETL solutions and ensure high-quality data for business teams.

What You'll Do

• Design and develop ETL pipelines using Databricks, PySpark, Python, and Azure Data Factory.
• Build and optimize data integration and transformation processes.
• Perform data validation and ensure data quality across pipelines.
• Collaborate with Agile teams to deliver scalable data solutions.
• Support Azure-based data platforms and analytics projects.

What You'll Need

• 7+ years of data engineering experience.
• 5+ years working in Agile environments.
• 3–5 years of hands‑on experience with Databricks, PySpark, and Python.
• 3+ years of experience with Azure Data Factory.
• 3–5 years of experience with data validation and data quality processes.
• Strong problem‑solving skills and ability to work independently.

Nice to Have

• Experience with data modeling or machine learning.