Data Engineer Client Data Operations

Key Responsibilities:

• Set up and manage incoming data feeds from client and vendor systems, including SFTP connections and scheduled file deliveries.
• Develop validation, identity matching, and data preparation processes, including record-count reconciliation and CASS/NCOA processing.
• Configure scheduled jobs, file monitoring, transformations, testing, and automated alerts to minimize manual intervention.

Requirements:

• Several years of hands-on data engineering experience, ideally 4+ years, building and operating production data pipelines.
• Strong proficiency in SQL and Python, with practical experience using Apache Spark or comparable technologies.
• Experience with cloud-based environments, particularly Databricks and AWS, and data orchestration tools.

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 work with modern data technologies.