Customer Success Engineer

We are looking for a detail-oriented and customer-focused Data Engineering and Implementation Specialist on a contractual basis. In this role, you will be the primary owner of the data onboarding journey for customers - ensuring seamless data ingestion, proactively identifying and bridging data gaps, and working closely with the Operations team to guarantee a smooth implementation experience from day one. Finding opportunities for automation and improving the overall process of Onboarding customers.

Responsibilities:

• Customer Ownership and Implementation: Own end-to-end data engineering and ingestion for assigned customers, ensuring a smooth and timely implementation. Act as the primary point of contact for customers on all data-related queries and concerns during onboarding. Proactively monitor data pipelines and flag issues before they impact the customer experience. Ensure customers do not face disruptions by maintaining high standards of data quality and completeness throughout the implementation lifecycle.
• Data Gap Identification and Coordination: Identify, document, and communicate data gaps, anomalies, or discrepancies to the Operations team in a timely manner. The approach for data ingestion should be to automate before thinking about manual approaches. Should be a leverager of AI Tools like Claude Code, Gemini and Codex to multiply the work speed and accuracy of work. Work closely with the Ops team to resolve data issues, track resolution progress, and ensure closure. Maintain clear logs and trackers for all data gaps and their status. Build and maintain automation scripts and pipelines for onboarding.
• Communication and Stakeholder Management: Translate complex data issues into clear, non-technical language for customers when needed. Maintain professional and responsive communication with both internal teams and external stakeholders.

Requirements:

• Strong communication skills both written and verbal; ability to manage customer conversations with clarity and empathy.
• Experience with automation and scripting. Hands-on experience with Python, JavaScript, SQL, spreadsheets, and AI tools like Claude, Codex, and Gemini.
• Ability to work cross-functionally and collaborate closely with Operations and technical teams.
• Strong attention to detail and a structured approach to tracking and resolving data issues.
• Self-starter with the ability to manage multiple customer accounts and priorities simultaneously.
• Prior experience working in a SaaS environment; understanding of SaaS data models, integrations, or onboarding workflows.