About the Client
Our client is a major Midwest-based infrastructure and materials supply division that specializes in road and bridge construction, asphalt production, and aggregate mining.
Challenge
The client needed a Data Engineer II to support the next phase of their data engineering team build-out, with hands-on experience across cloud data pipelines, Databricks, Snowflake, Python, SQL, ETL and ELT pipelines, Azure services, business intelligence, stakeholder collaboration, and future AI and ML initiatives. The client had already reviewed approximately 30 candidates internally without identifying the right technical and cultural fit. With no sponsorship available and a strong preference for minimal to no relocation, the viable candidate pool was significantly narrowed. Leadership needed a recruiting partner who could quickly source highly technical, locally accessible candidates and move with the urgency the build-out required.
Solution
MS Companies launched a focused technical recruiting effort, beginning with a structured intake to lock down the technical, compensation, and cultural requirements before sourcing began. Focus areas included:
Detailed intake and alignment
- Conducted a robust intake covering technical requirements, compensation, hybrid expectations, sponsorship limitations, interview process flow, and ideal candidate profile to ensure every submission met the bar.
Targeted local and regional sourcing
- Focused the search on highly technical candidates with hands-on cloud data engineering experience, especially those familiar with Databricks, Snowflake, Python, SQL, Azure, ETL and ELT pipelines, and data modeling.
Multi-factor candidate screening
- Screened heavily for technical alignment, compensation fit, sponsorship status, commute and hybrid flexibility, and long-term growth potential within the data engineering function.
End-to-end candidate management
- Managed candidate communication, interview coordination, offer support, and onboarding follow-up through acceptance and pre-employment screening to keep the process moving and support a strong candidate experience lifecycle.
Results
3 Qualified Candidates Submitted
3 qualified candidates submitted after a rigorous screening process focused on hands-on cloud data engineering experience.
2 Onsite Interviews Secured
2 candidates advanced to onsite interviews, giving the customer strong, high-quality finalists to evaluate.
1 Data Engineer II Hired
1 Data Engineer II hired and onboarded into the existing data leadership structure with a competitive total compensation package.
Under 8-Week Search Completion
Search completed in under 8 weeks from intake to accepted offer, ahead of typical industry expectations for niche cloud data engineering roles.
How MS Companies Can Support Your Operations
- Technical & IT Recruiting
- Data Engineering Team Build-Outs
- Structured Intake & Requirements Alignment
- Targeted Local & Regional Talent Sourcing
- Multi-Factor Candidate Screening
- End-to-End Candidate & Offer Management
Our technical recruiting expertise applies wherever companies are scaling cloud, analytics, and AI and ML capabilities. Wherever technical talent is the bottleneck, MS Companies is ready.
Our Expert: Martin Weiss
Martin brings a data-driven, people-first approach to technical recruiting and workforce partnerships. His background spans industrial staffing, skilled trades, engineering, quality, logistics, and executive recruiting, helping clients build high-performing teams across automotive, aerospace, pharmaceuticals, construction, and other high-impact industries.
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