Data & Analytics
Manager, Data Engineering
Ascension
Full-Time
Lead
$126k – $170k/yr
Remote
Posted 1mo ago
Tech Stack
ExpressPythonJavaScriptGoRustJavaAWSGCPSparkGit
Job Description
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
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 qualifications 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 requirements you'll need:
* 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.
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.
Equal employment opportunity employer:
***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, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.
***Fraud prevention notice***
Prospective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process. Our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who have completed a job application through our authorized applicant tracking system.
***E\-Verify statement***
Employer participates in the Electronic Employment Verification Program. Please click here for more information.
Benefits:
Paid time off (PTO)
Various health insurance options \& wellness plans
Retirement benefits including employer match plans
Long\-term \& short\-term disability
Employee assistance programs (EAP)
Parental leave \& adoption assistance
Tuition reimbursement
Ways to give back to your community *Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance, location and salary range at the time of the offer.*
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