Support Engineer

Precisely

. Provide technical support via phone, email, case management systems, and remote desktop sessions while meeting SLA requirements and documenting work accurately .

Posted 10/31/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in technical customer support, particularly in data processing and integration solutions, while effectively utilizing AI tools for automation and case management. Proficient in troubleshooting and resolving complex issues related to data transformation and SaaS platforms.

Highest-signal resume keywords

Technical Customer SupportData Processing WorkflowsSaaS PlatformsAI Tool UtilizationKnowledge Base Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationData ValidationData CleansingBatch ProcessingETL WorkflowsAPI IntegrationsTroubleshootingLog AnalysisAutomationCoding

Soft Skills

CollaborationProblem-SolvingCommunicationCustomer ServiceAdaptability

Tools & Technologies

Spectrum UAMCode-1VeriMoveFinalistMapInfoDIS SaaSData Integrity SuiteAI ToolsZ/OSIBMi

Industry Keywords

Technical SupportData IntegrationGlobal Support ModelResponsible AIData Privacy

Tech Stack

Tools & technologies

ETL

About the role

Key responsibilities & impact

Provide technical support via phone, email, case management systems, and remote desktop sessions while meeting SLA requirements and documenting work accurately
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 involving coding, automation, or APIs
Support customers using Code-1, VeriMove, MapInfo, and Finalist, including troubleshooting job logic, configuration issues, file handling, and execution errors
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 with Engineering and Product Management on escalations, enhancements, and defect investigations
Create and maintain internal and customer-facing knowledge base documentation
Continuously develop product knowledge and share expertise with the broader support team
Participate in on-call and after-hours support rotations as required

Requirements

What you’ll need

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
Experience working in a global or follow-the-sun support model
Experience leveraging AI for case summarization, response drafting, knowledge recommendations, and sentiment analysis
Comfort evaluating and adopting emerging AI tools
Responsible AI usage aligned with data privacy, security, and enterprise governance standards
Ability to identify and automate repetitive support and operational workflows using AI tools
Knowledge of z/OS/JCL and the IBMi platform is beneficial

Benefits

Comp & perks

100% remote work anywhere in the US
Participation in on-call and after-hours support rotations as required