Data Engineering Manager

100% Remote - United States Salary: Up to $220,000 base + Comprehensive Benefits U.S. Citizens or Green Card Holders Only No Sponsorship Available Now or in the Future A rapidly growing technology organization focused on delivering advanced data and analytics solutions is seeking a Data Engineering Manager to lead a team responsible for building scalable, cloud-based data platforms and customer data integration solutions. This is a fully remote leadership opportunity where you'll drive technical strategy, mentor engineers, and help shape the future of a modern data ecosystem. What You’ll Be Doing Lead and develop a high-performing Data Engineering team, providing mentorship, coaching, and technical direction. Oversee the design and delivery of scalable data platforms, ELT pipelines, and data integration frameworks. Drive modernization initiatives across data architecture, tooling, automation, and engineering practices. Partner with business and technical stakeholders to translate complex requirements into scalable solutions. Establish engineering standards, best practices, and quality processes to improve reliability and maintainability. Lead efforts around data quality, validation, observability, profiling, and monitoring capabilities. Evaluate emerging technologies, including AI-enabled solutions, to improve engineering productivity and automation. Build and execute data roadmaps that support both customer needs and long-term platform growth. What We’re Looking For 12+ years of data engineering experience with increasing ownership and leadership responsibilities. 5+ years of experience managing or leading data engineering teams, including mentoring and developing engineers. Strong hands-on expertise with SQL, Python, ELT pipelines, and modern data architectures. Experience with orchestration and transformation tools such as Airflow, Astronomer, Dagster, dbt, or similar technologies. Proven background designing scalable data platforms and modernizing legacy environments. Experience working with complex, imperfect data from multiple sources and building standardized data models. Strong understanding of data quality, governance, validation, and monitoring practices. Excellent communication skills with the ability to influence technical and business stakeholders. Healthcare, public sector, SaaS, or highly regulated industry experience is highly beneficial. Why This Opportunity? 100% remote within the U.S. Opportunity to lead critical data initiatives with significant business impact. High visibility role influencing technology strategy and platform direction. Collaborative, growth-oriented culture with strong executive support. Competitive compensation, bonus potential, and comprehensive benefits package. Desired Skills and Experience 12+ years of data engineering experience with increasing ownership and leadership responsibilities. 5+ years of experience managing or leading data engineering teams, including mentoring and developing engineers. Strong hands-on expertise with SQL, Python, ELT pipelines, and modern data architectures. Experience with orchestration and transformation tools such as Airflow, Astronomer, Dagster, dbt, or similar technologies. Proven background designing scalable data platforms and modernizing legacy environments. Experience working with complex, imperfect data from multiple sources and building standardized data models. Strong understanding of data quality, governance, validation, and monitoring practices. Excellent communication skills with the ability to influence technical and business stakeholders. Healthcare, public sector, SaaS, or highly regulated industry experience is highly beneficial. Location: Fully Remote (U.S.) Work Authorization: U.S. Citizen or Green Card Holder required. No sponsorship available. Employment Type: Full-Time, Permanent #J-18808-Ljbffr Harnham