
2 - 10 employees
Founded 2023
🤝 B2B
🎯 Recruiter
B2B • Recruitment
McCulloh Consulting is a talent acquisition and HR consulting firm that partners with growing businesses to optimize recruiting, staffing, and people operations. They provide services such as full-time staffing, fractional talent acquisition leadership, recruiter training, HR process consultation, and talent-acquisition best practices, and focus on building diverse, inclusive, and high-performing workplaces. McCulloh supports organizations across industries including law firms, healthcare, technology, and financial services, delivering B2B advisory, DEI strategy, and scalable HR solutions.
🕒 April 27
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2 - 10 employees
Founded 2023
🤝 B2B
🎯 Recruiter
B2B • Recruitment
McCulloh Consulting is a talent acquisition and HR consulting firm that partners with growing businesses to optimize recruiting, staffing, and people operations. They provide services such as full-time staffing, fractional talent acquisition leadership, recruiter training, HR process consultation, and talent-acquisition best practices, and focus on building diverse, inclusive, and high-performing workplaces. McCulloh supports organizations across industries including law firms, healthcare, technology, and financial services, delivering B2B advisory, DEI strategy, and scalable HR solutions.
• Lead and mentor a team of data engineers while fostering a collaborative and forward-thinking engineering culture • Design and architect scalable data warehouse and lakehouse solutions using Databricks and Azure • Build and optimize data pipelines, ingestion frameworks, and transformation processes • Implement DevSecOps principles to ensure security, compliance, and reliability across the data platform • Develop and manage CI/CD pipelines to automate testing, deployment, and environment consistency • Drive automation across data workflows to improve efficiency and scalability • Partner with analytics, IT, and business teams to deliver reliable, high-quality data solutions • Evaluate and integrate modern technologies, including AI and machine learning, to enhance data capabilities
• Seven or more years of experience in data engineering or data warehouse architecture • At least three years in a technical leadership or engineering management role • Strong hands-on expertise with Databricks, including Delta Lake, Apache Spark, and MLflow • Experience building and deploying data solutions within Microsoft Azure environments • Background in DevSecOps, CI/CD, and infrastructure automation • Experience working in regulated environments such as healthcare is preferred • Strong ability to mentor engineers while remaining technically engaged
• Competitive top notch salary with bonus eligibility • Fully remote role with flexibility and autonomy • Comprehensive benefits including medical, dental, and vision coverage • 401k with employer match • Generous paid time off and holiday schedule • Opportunity to lead and build within a modern, cloud-based data environment
Apply Now🕒 April 27
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