Mid-Level Data Engineer (contract)

Jobright.ai is an AI-powered career platform that helps you discover verified jobs directly from employer sites across the U.S. and tailor your applications with ease. Please note: Jobright is not a staffing agency and does not hire for these roles directly. Job Summary: Wells Fargo is seeking a highly skilled Data Engineer to design, build, and maintain robust data pipelines and integration workflows. This role is critical to enabling secure, scalable, and high-performance data solutions that support cybersecurity metrics, reporting, and automation initiatives. Responsibilities: • Design and implement ETL pipelines using SSIS and SQL Server to support data ingestion, transformation, and delivery across cybersecurity platforms. • Develop and optimize data workflows within the Microsoft Fabric ecosystem, including Azure Data Factory, Synapse Analytics, and OneLake. • Collaborate with data analysts, architects, and cybersecurity SMEs to translate business requirements into scalable data solutions. • Maintain and enhance SSIS packages, including deployment, configuration, and job scheduling via SQL Server Agent. • Participate in database migration and modernization efforts, including Always On configurations and cross-data center replication. • Ensure data quality, integrity, and lineage through rigorous validation, logging, and monitoring practices. • Support hybrid cloud deployments and integration between on-premises SQL environments and Microsoft Fabric services. • Document data models, workflows, and operational procedures for QA, audit and knowledge transfer. Qualifications: Required: • Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship. • 5+ years of experience in data engineering with a focus on SQL Server and SSIS. • Hands-on experience with Microsoft Fabric components such as Azure Data Factory, Synapse, and Data Lake. • Strong SQL skills, including performance tuning, stored procedures, and job automation. • Experience with enterprise-scale ETL processes and data warehousing. • Familiarity with data governance, security, and compliance in regulated environments. • Financial services experience specifically big banks. Preferred: • Experience with Spark SQL, PySpark, or Databricks within Microsoft Fabric. • Exposure to DevOps practices, including CI/CD pipelines for data workflows. • Knowledge of structured streaming and real-time data processing. • Familiarity with metadata management and data cataloging tools. Company: Wells Fargo & Company is a financial services firm that provides banking, insurance, investments, and mortgage services. Founded in 1852, the company is headquartered in San Francisco, California, USA, with a team of 10001+ employees. The company is currently Public Company.