Data Engineer Client Data Operations

📋 Description

• Client Data Onboarding: Set up and manage incoming data feeds from client and vendor systems
• Data Validation and Processing: Develop validation, identity matching, and data preparation
• Pipeline Development: Build, maintain, and optimize scalable data pipelines using SQL, Python, and
• Workflow Automation: Configure scheduled jobs, file monitoring, transformations, testing, and
• Production Monitoring and Troubleshooting: Own daily monitoring and maintenance of Databricks
• Campaign and Mail Production: Manage routine audience and direct mail production activities

🎯 Requirements

• Several years of hands-on data engineering experience, ideally 4+ years, including building
• Strong proficiency in SQL and Python, with practical experience using Apache Spark or comparable
• Experience with cloud-based data engineering environments, particularly Databricks and AWS or
• Demonstrated ability to investigate unfamiliar, inconsistent, or poorly documented data sources and
• Experience with data orchestration, workflow automation, monitoring, schema mapping, file-based
• Familiarity with version control systems such as Git, access management, operational documentation

🎁 Benefits

• Competitive annual base salary: $115,000–$145,000, depending on experience and qualifications.
• Fully remote working arrangement within the United States.
• Opportunity to take ownership of critical production systems and data engineering processes.
• Direct involvement in meaningful projects supporting healthcare, financial services, and other
• Opportunity to work with modern data technologies, including SQL, Python, Spark, Databricks, and
• Professional development through hands-on technical challenges and collaboration with experienced