Drimva

Hearst

Technical Consultant

Tampa, FL, United States +1 · Full-time · Posted Oct 27, 2026

Location
Tampa, FL, United States
Tampa
Experience
Five (5) years in a listed or similar client-facing technical role. Education section also specifies at least three years in a listed or related role.
Education
Bachelor's degree in a technical or related field, or equivalent practical experience.

About the job

Provides client-facing technical consulting for MHK solutions, investigating complex issues, supporting integrations and implementations, validating changes, and advising clients on solutions.

What you'll do

  • Investigate and triage client issues across data, integrations, configuration, and system behavior; document findings and route escalations with supporting evidence.
  • Support file feeds and integration workflows, analyze processing results, and help resolve issues with clients, vendors, and internal teams.
  • Advise clients and support configuration, implementation, testing, release validation, and appropriate service growth opportunities.

What they ask for

  • Five (5) years of experience in technical consulting, application support, implementation, systems analysis, integration operations, or a similar client-facing technical role.
  • Working proficiency with SQL and data analysis concepts.
  • Practical experience with Linux/Unix shell commands and structured data formats such as CSV, XML, JSON, or fixed-width files.
  • Hands-on experience testing REST or SOAP APIs and secure file transfers, including SFTP or FTPS and PGP/GPG.

Nice to have

  • Experience in healthcare technology, payer operations, care management, utilization management, appeals and grievances, or another regulated (CMS/HIPAA) environment.
  • Experience with enterprise schedulers, operational and BI data environments, Python or shell scripting, Git or Bitbucket, or modern AI platforms and developer tools.

Tools

SQL, Linux/Unix, CSV, XML, JSON, REST, SOAP, SFTP

AI focus

Use approved AI technologies to improve productivity, automate routine technical tasks, improve analysis and documentation, and speed client issue resolution while complying with security, privacy, HIPAA/PHI, and responsible AI policies. Preferred exposure to LLM APIs such as OpenAI, Anthropic, or AWS Bedrock.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)