Senior Data Engineer

📋 Description

• Design, develop, maintain, and optimize scalable data pipelines and workflows using Azure
• Build ETL/ELT pipelines that integrate data from multiple internal and external sources while
• Develop and maintain SAS programs and SSIS packages supporting intermediate and downstream data
• Write, optimize, and maintain complex SQL queries for data transformation, processing, reporting
• Implement and support Big Data tools and frameworks for large-scale data processing and integration.
• Monitor data workflows, troubleshoot complex processing issues, perform root-cause analysis, and

🎯 Requirements

• Bachelor’s degree in science, engineering, computer science, or a related discipline, or equivalent
• 8+ years of overall experience in data engineering or a closely related field.
• 8+ years of experience designing and building production-grade batch data pipelines for data
• Strong proficiency in SQL, Databricks, Python, Apache Spark, Git, and Azure services, including
• Strong understanding of relational database principles, data modeling, database management, and
• Strong knowledge of Big Data querying and processing tools.

🎁 Benefits

• Remote work opportunity available nationwide within the United States.
• Full-time schedule of approximately 40 hours per week.
• Base salary range of $117,600–$161,700 per year, with actual compensation varying based on
• Eligibility for an annual performance-based incentive plan.
• Health benefits effective from day one.
• Generous paid time off.