Senior Data Engineer - Databricks & Analytics

Gainwell Technologies is hiring a Senior Data Engineer to build and support complex data and analytics solutions. The role involves designing, developing, testing, and documenting programs, resolving technical issues, and providing technical guidance and project leadership.

Responsibilities:

• Codes, tests, debugs, implements, and documents highly complex programs. Develops complex test plans to verify logic of new or modified programs
• Designs systems and programs to meet highly complex business needs. Prepares detailed specifications from which programs are developed and coded. Creates appropriate documentation in work assignments such as program code, and technical documentation
• Gathers information from existing systems, analyzes program and time requirements. Prepares time estimates and justifications for assigned tasks and provides recommendations to project managers
• Supports project personnel in resolving fairly complex program problems. Works with client and management to resolve issues and validate programming requirements within their areas of responsibility. Provides technical advice on complex programming
• May serve as technical project lead; provides leadership and work guidance to less experienced personnel. Conducts quality assurance activities such as peer reviews
• Provides consulting services in a technical and/or managerial capacity to management and technical staff. May represent company in presentations or conferences involving customers, co-contractors, suppliers, competitors, academia or the public

Requirements:

• 9+ years of experience in data engineering, ETL/ELT development, and data warehousing, with expertise in modern data solutions
• Strong technical skills in Databricks, Python, SQL, and cloud-based data platforms, building scalable and reliable data pipelines
• Experience developing and supporting Power BI and Tableau reporting solutions for business intelligence and analytics
• Proven ability to support enterprise production environments, including data ingestion, transformation, optimization, and issue resolution
• Strong analytical and leadership skills, with experience mentoring team members and driving high-quality data engineering solutions