Support Engineer
New
P
Precisely US JobsData Integrity
This position is 100% remote anywhere in the US, Global or follow-the-sun support modelFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3–6+ years
- Required Skills
- ETLRESTful APIsTechnical supportSaaSGenerative AI
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.
- 3–6+ years of experience in technical customer support or a related technical role.
- Experience supporting Code-1, VeriMove, Finalist, or similar data processing and coding-centric products.
- Familiarity with Spectrum UAM or Spectrum-based data integration solutions.
- Experience supporting batch processing, ETL-style workflows, or data pipelines.
- Exposure to SaaS platforms and API-based integrations.
- Proficiency in leveraging AI tools (e.g., Microsoft Copilot, ChatGPT) for case summarization, response drafting, and workflow automation.
- Ability to critically evaluate and adopt emerging AI tools while adhering to data privacy and security standards.
- Strong problem-solving skills and technical depth in troubleshooting.
- Experience working in a global or follow-the-sun support model.
- Knowledge of z/OS, JCL, and the IBMi platform is a plus.
Responsibilities
- Provide world-class technical support via phone, email, case management systems, and remote desktop sessions while meeting SLA requirements and documenting work accurately.
- Support customers using Code-1, VeriMove, and Finalist, including troubleshooting job logic, configuration issues, file handling, and execution errors.
- Diagnose and resolve issues related to data transformation, validation, cleansing, and movement across platforms.
- Support Spectrum UAM and related services, including configuration, data processing flows, and integration scenarios.
- Assist customers using DIS SaaS / Data Integrity Suite services where coding, automation, or APIs are involved.
- Analyze logs, job output, error messages, and customer-provided artifacts to identify root cause and recommend corrective actions.
- Determine whether issues originate from product behavior, customer-developed logic, data quality problems, third-party components, or environmental configuration.
- Collaborate closely with Engineering and Product Management on escalations, enhancements, and defect investigations.
- Create and maintain internal and customer-facing knowledge base documentation.
- Participate in on-call and after-hours support rotations as required.
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