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Remote Casting Operator Jobs (NOW HIRING)

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How much do remote casting operator jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for remote casting operator in the United States is $17.82, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $19.47 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Casting Operator jobs? The most popular types of Casting Operator jobs are:
Infographic showing various Remote Casting Operator job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Contract, and 2% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $37,063 per year, or $17.8 per hour.

Principal Consultant - Commercial Data & Marketing Technology

Gulf Coast Automation Group

Northbrook, IL • Remote

$90K - $150K/yr

Full-time

Medical, Retirement, PTO

Re-posted 9 hours ago


Job description

Job Title: Principal Consultant – Commercial Data & Marketing Technology
Primary Location: Remote, must reside in the US and will have occasional travel
Position Type: Direct Hire
Overview
TalentFish is casting a line for a highly experienced Principal Consultant focused on Commercial Data & Marketing Technology within the life sciences/pharma space for our premier client. This individual will serve as both a senior technical leader and client-facing strategic partner supporting complex commercial data and MarTech initiatives.
This is a highly hands-on role requiring deep technical expertise alongside executive-level consulting and stakeholder management capabilities. The ideal candidate can operate comfortably across architecture, engineering, agile delivery leadership, commercial analytics, and senior client advisory responsibilities.
The role will support a high-visibility life sciences engagement with opportunity to expand impact across additional pharma initiatives over time.
What You Bring to the Role.

Required Technical Environment / Stack

  • Data & Cloud Platforms
    • Databricks

    • Delta Lake

    • Unity Catalog

    • Azure DevOps

    • CI/CD pipelines

    • Azure cloud ecosystem

  • Data Sources & Integrations
    • Google Ads

    • Microsoft Ads

    • Meta

    • TikTok

    • CM360

    • Programmatic DSPs

    • Veeva CRM / Vault

    • IQVIA

    • Komodo

    • Symphony

    • Crossix

  • MarTech / Campaign Tools
    • Marketo

    • Salesforce Marketing Cloud (preferred)

    • Adobe Experience Cloud (preferred)

    • Claravine or equivalent taxonomy management platforms

Required Experience

  • 10+ years of experience in pharma/life sciences commercial data, MarTech, or commercial analytics

  • Strong hands-on Databricks engineering and architecture experience

  • Experience building and operating enterprise-scale modern data platforms

  • Production-level Azure DevOps CI/CD experience

  • Deep understanding of pharma commercial data ecosystems

  • Experience supporting omnichannel marketing and analytics initiatives

  • Strong agile delivery leadership experience

  • Ability to lead executive stakeholder conversations while remaining technically hands-on

Preferred Background

  • Consulting or agency experience supporting pharma/life sciences clients

  • Experience with physician-level/NPI-linked data models

  • Familiarity with next-best-action and journey orchestration concepts

  • Experience integrating media agency planning and execution datasets

  • Strong communication and client relationship management skills

What You'll Do. (Skills Used in this Position)

  • Lead overall engagement delivery cadence including sprint planning, backlog grooming, stakeholder reviews, and status reporting

  • Own architectural decisions across enterprise commercial data platforms

  • Design and oversee ingestion frameworks across media, CRM, MarTech, and pharma data ecosystems

  • Work directly within Databricks environments for architecture, code review, troubleshooting, and optimization

  • Translate technical requirements into business outcomes for executive stakeholders

  • Partner closely with marketing, analytics, IT, and engineering leadership teams

  • Mentor and direct both consulting and client-side delivery teams

  • Reconcile campaign metadata and media planning data using Claravine or equivalent taxonomy tooling

  • Drive scalable commercial analytics and omnichannel data enablement initiatives

Compensation Information
The expected salary range for this position is $90,000 - $150,000 per year, depending on experience and qualifications. This role also qualifies for comprehensive benefits such as health insurance, 401(k), and paid time off. TalentFish is committed to pay transparency and equal opportunity. The salary range provided is in compliance with applicable state and federal regulations.
This role requires authorization to work in the U.S. without current or future visa sponsorship.
All offers are contingent upon the completion of a background check, which may include but is not limited to reference checks, education verification, employment verification, drug testing, criminal records checks, and any required certifications or compliance requirements based on the end client's background check policies and applicable laws.
TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by evolving AI, video screening, and our unique platform. TalentFish focuses on providing the best employee, consultant, and client experience possible.
At TalentFish we are an Equal Opportunity Employer; we embrace and encourage diversity!