Product Support Engineer

eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE.

eNGINE is partnering with a growing Pittsburgh organization seeking a Production Support Engineer to support critical overnight data operations. This is a hands-on technical role where you'll monitor automated data pipelines, troubleshoot production issues, and ensure partner data files are delivered accurately and on time

What You'll Do

• Monitor overnight automated data feeds and respond to production alerts.
• Investigate and resolve data validation failures using SQL and Databricks.
• Regenerate, validate, and deliver corrected data files within SLA.
• Troubleshoot production issues from root cause through resolution—not simply escalate them.
• Document incidents, resolutions, and handoffs for the daytime engineering team.
• Partner with developers to identify recurring issues and improve long-term reliability.
• Contribute to operational runbooks and continuous process improvements.

What We're Looking For

• 3+ years of experience in Production Support, Data Operations, Data Engineering, or a similar technical support role.
• Strong SQL skills with the ability to independently troubleshoot data issues.
• Hands-on experience with Databricks is required.
• Python experience is a strong plus.
• Experience supporting ETL/data pipelines or large-scale data processing.
• Comfortable working independently during overnight hours.
• Strong analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with cloud data platforms (Azure, AWS, Snowflake).
• SFTP file transfer experience.
• Healthcare or regulated industry experience.
• Exposure to monitoring and observability tools such as Datadog or Monte Carlo.
• Experience supporting 24x5 or 24x7 production environments.