Manager, Data Engineering
Exciting work from home opportunity for a Remote Manager, Data Engineering role! This position offers full-time remote work at Ascension. Your future role at a glance LOCATION Remote DEPARTMENT Data Delivery and Governance SCHEDULE Full Time, Days SALARY $125,689.26 - $170,049.54 per year Eligible for an annual bonus incentive #LI-Remote LIFE AT ASCENSION: WHERE PURPOSE MEETS OPPORTUNITY Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 99,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you’ll find an inclusive and supportive environment where your contributions truly matter. BENEFITS THAT HELP YOU THRIVE Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA options Financial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance Time to recharge: pro-rated paid time off (PTO) and holidays Career growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learning Emotional well-being: Employee Assistance Program, counseling and peer support, spiritual care and stress management resources Family support: parental leave, adoption assistance and family benefits Other benefits: optional legal and pet insurance, transportation savings and more Benefit options and eligibility vary by position, scheduled hours and location. Benefits are subject to change at any time. Your recruiter will provide the most up-to-date details during the hiring process. HOW YOU’LL MAKE AN IMPACT IN THIS ROLE Enterprise Data Lifecycle Orchestration: Direct the end-to-end SDLC for high-scale data infrastructure, translating complex product roadmaps into executable technical workstreams while maintaining strict oversight of iteration goals, sprint metrics in Jira, and program-level delivery commitments. Multi-Cloud Architecture & Pipeline Governance: Govern the design, development, and optimization of distributed data pipelines on Cloud environments - GCP preferred, leveraging DataForm or DataFlow to drive automation, code quality, and stringent security compliance across all HealthCare Analytical and Operational data products. Performance Engineering, QA Validation & Release management: Architect and validate comprehensive testing frameworks—including functional, integration, and performance testing—to ensure production stability and facilitate seamless, high-quality knowledge transfers during technical handoffs to DataOps teams. Well versed with Release and the Change Approval Board (CAB) process and able to guide and lead team to build end to end artifacts. Operational Velocity & Dependency Mitigation: Optimize workgroup throughput by conducting forensic audits of technical estimations and story points, aggressively neutralizing cross-functional technical dependencies, and managing MSP/augmentation partner deliverables to sustain high-velocity engineering operations. Technical Leadership & Ecosystem Evolution: Cultivate a high-performance engineering culture by mentoring technical leads on data ingestion concepts, leveraging newer technologies like JavaScript, Python, and Spark as well as traditional database oriented toolsets of SQL scripts and Stored Procedures, while iteratively optimizing CI/CD workflows (Airflow, Jenkins) to enhance the scalability, reliability, and innovative capacity of the data ecosystem. WHAT MINIMUM REQUIREMENTS YOU’LL NEED Education: High School diploma equivalency with 3 years of cumulative experience OR Associate's degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required. 3 years of leadership or management experience preferred. WHAT ADDITIONAL PREFERENCES WE'RE SEEKING Advanced AI/ML Infrastructure: Hands-on experience architecting data foundations for Generative AI applications, specifically involving Vector & Graph Databases (e.g., Pinecone, Weaviate) and LLM orchestration. Healthcare Domain Mastery: Deep understanding of clinical data standards (HL7, FHIR) experience with EHR systems, the unique regulatory requirements for data engineering within a healthcare provider or "ministry" context. FinOps & Resource Optimization: Proven track record of implementing cost-optimization strategies for cloud data warehousing, utilizing monitoring tools to reduce egress costs and compute waste in large-scale GCP BigQuery or any Cloud database environments. Equal employment opportunity employer Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, a Apply tot his job Apply To this Job