Sr. ETL Developer​/Data Engineer

Position: Sr. ETL Developer / Data Engineer
ETL Developer / Data Engineer

Location:

Dallas, TX (Hybrid - Local Candidates Only)
Interview Process:
Onsite Interview Required
Duration:
Long-Term Contract

Visa: GC / USC Only

Strong ETL Developer/Data Engineer with expertise in ETL pipeline development, advanced SQL, Databricks, data warehousing, large-scale data processing, performance optimization, and cloud/big data technologies including Python and Spark.

Job Description:

We are seeking an experienced ETL Developer / Data Engineer for a hybrid opportunity in Dallas, TX. The ideal candidate should have strong hands-on experience with ETL development, SQL, and Databricks, along with expertise in building scalable data pipelines and supporting enterprise data platforms.

Key Responsibilities:

• Design, develop, and maintain ETL/data integration pipelines.
• Develop and optimize complex SQL queries, stored procedures, and data transformations.
• Build and support scalable data solutions using Databricks.
• Work with large datasets for data extraction, transformation, and loading processes.
• Collaborate with business and technical teams to gather requirements and deliver data solutions.
• Troubleshoot performance bottlenecks and optimize ETL workflows.
• Ensure data quality, integrity, and consistency across systems.
• Support data migration and modernization initiatives.

Required Skills:

• Strong ETL development experience.
• Advanced SQL skills.
• Hands-on experience with Databricks.
• Experience working with large-scale data processing and data warehousing environments.
• Strong analytical and problem-solving skills.
• Ability to work in a hybrid onsite/offshore collaborative environment.

Preferred

Skills:

• Experience with cloud platforms (AWS/Azure/GCP).
• Exposure to Python or Spark.
• Experience with modern data engineering practices and big data technologies.