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Human Resources 🏢 Full Time ⭐️ Verified

Technical Recruiter

Omaha Staffing Partners
Omaha
Estimated Salary
USD 55.000 – USD 75.000
Live Update
13 Juni 2026
Deadline
13 Jun 2027

Job Description

Join Omaha's premier staffing agency and become the talent architect connecting exceptional candidates with innovative companies! We're seeking a dynamic Technical Recruiter to build high-performing teams in Omaha's thriving tech sector. This role combines strategic sourcing with relationship-building to place specialized IT professionals across startups and established enterprises. Leverage our extensive network while shaping the future of Nebraska's tech workforce.

Responsibilities

  • Source and engage qualified technical candidates through LinkedIn, niche job boards, and industry events
  • Conduct in-depth technical interviews to assess skills, cultural fit, and career aspirations
  • Manage full recruitment lifecycle: sourcing, screening, interviews, and offer negotiations
  • Develop and maintain strong client relationships with Omaha-based tech companies
  • Implement data-driven recruitment strategies using Applicant Tracking Systems
  • Collaborate with marketing to create compelling employer branding campaigns
  • Analyze market trends to inform competitive compensation packages

Qualifications

  • 3+ years technical recruitment experience with IT placements
  • Proven success in sourcing hard-to-find talent (developers, engineers, data scientists)
  • Expertise in behavioral interviewing and technical assessment methodologies
  • Familiarity with Omaha's tech ecosystem and local talent pools
  • Proficiency in ATS platforms (Greenhouse, Lever, Workday) and CRM tools
  • Exceptional communication skills with ability to articulate technical concepts
  • SHRM-CP or CTS certification preferred
  • Results-driven mindset with measurable KPI achievement history

Required Skills

Technical Recruitment Sourcing Interviewing Relationship Building Applicant Tracking Systems Talent Acquisition IT Staffing Client Relations Data Analysis

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