Description
We are looking for a senior-level Data Operations Engineer to support secure data exchange and reliable integration workflows for a long-term contract role based in Providence, Rhode Island. This position focuses on building resilient file-processing solutions, improving data reliability, and developing automation that strengthens day-to-day operations. The ideal candidate brings strong experience with Python, SQL, EFT processes, and production-grade data pipelines, along with a practical approach to troubleshooting and operational excellence.
Responsibilities:
Create and maintain secure electronic file transfer solutions for inbound and outbound data exchanges using protocols such as SFTP and FTP.
Develop scalable processes to onboard partner data feeds and manage recurring integration workflows with consistency and accuracy.
Build automated controls for file validation, reconciliation, exception handling, retry logic, and operational alerting.
Write robust Python code to ingest, transform, validate, and reconcile data across operational pipelines.
Use advanced SQL to investigate data integrity, compare datasets, identify anomalies, and support trend analysis.
Monitor production data workflows, detect quality issues early, and respond quickly to processing disruptions.
Perform root-cause analysis for failed jobs or data discrepancies and implement long-term corrective actions.
Reduce manual operational effort by introducing automation, monitoring, and repeatable support procedures.
Produce clear technical documentation, support guides, and runbooks to improve ongoing operational support.
Partner with engineering, analytics, and business stakeholders to resolve integration challenges while maintaining proper security and privacy controls for sensitive data.
Requirements
At least 5 years of experience in data engineering, software engineering, or a related production support environment.
Strong hands-on background with EFT and file transfer technologies, including SFTP and FTP.
Advanced Python programming skills for automation, data processing, and operational tooling.
Strong SQL expertise, including complex joins, common table expressions, window functions, and data validation techniques.
Experience working with Snowflake or another enterprise data warehouse platform.
Proven ability to build, support, and optimize production data pipelines and ETL processes.
Solid understanding of data quality practices, reconciliation methods, monitoring strategies, and error recovery.
Excellent communication skills and experience handling confidential or sensitive data with appropriate security practices.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: rhalfint
- Position Id: 02130-0013501399
- Posted 2 hours ago
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