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Ascension · 3 days ago

Data Engineering Manager (Cloud Services and Data Transformation)

United States

Full-time

Remote

Senior Level

$118K/yr - $160K/yr

5+ years exp

Ascension is a healthcare organization committed to serving others and providing compassionate care. They are seeking a Data Engineering Manager to oversee data engineering workgroups, drive project delivery, and ensure best practices in data infrastructure and pipeline management.

CharityHealth CareHospitalNon Profit

H1B Sponsor Likely

Responsibilities

Responsible for overseeing and driving the success of data engineering workgroups, combining technical expertise with people management skills; drives the analysis, design, development, test, deploy and optimization of data infrastructure and pipelines to support critical data initiatives across the organization to support our ministries' needs

Requires a highly skilled and experienced technical leader responsible for managing, mentoring, guiding and empowering their workgroups in successful delivery of data-driven projects, ensuring best practices in development, automation and security are followed while fostering a culture of innovation and continuous improvement

Takes full ownership of technical project oversight, driving the delivery roadmap for aligned product(s) /and service(s) across multiple workgroups; ensures all technical requirements are met and development is completed according to requirements

Reviews estimations and story points, challenging them when necessary to ensure realistic timelines and resource allocation

Drives data analysis, data pipeline design, automation, code quality, security standards and compliance of data products & services

Owns and removes technical dependencies that may impede workgroup's progress, fostering a culture of continuous improvement

Keeps the team focused on delivering work items within the data pipeline lifecycle, fulfilling iteration goals and commitments defined in the product version

Ensures the testing strategy is developed and completed successfully, including Test Plans, Test Cases, Test Scripts, Functional Testing, and documentation of testing outcomes, approving communication for UAT readiness

Validates successful completion of unit, integration, functional, pre UAT (if applicable), UAT & and performance testing

Ensures all delivery steps in the SDLC have been performed (analysis, design, build, testing, issue resolution) to enable product deliverable signoff and release scheduling

Reviews and approves iteration progress metrics within Jira and status reporting, driving delivery roadmap alignment to product and program roadmaps

Drives handoff of data product / service deliverables to DataOps, ensuring quality knowledge transfer and validates acceptance

Collaborates across diverse functional groups to drive consensus across project delivery

Collaborates, Drives & Liaisons across Delivery workgroups to ensure overall delivery of the Data product / Service or the overall Program

Provides clear and concise updates to the PMO or P&E Specialist on the status of key data engineering projects, ensuring transparency and effective communication across teams and stakeholders

Participate in Sprint Ceremonies to ensure alignment on deliverables planned, identify potential issues, risk & drive resolution working with required teams

Collaborate with Release & Change Management lead for Release Planning & Operationalization

Facilitates communication, empowers workgroups to self-optimize their processes, ensures workgroups have necessary resources, and removes any impediments to the team (issue & conflict resolution) in a timely manner

Collaborate with MSP’s / Augmentation partners to ensure their deliverables are meeting the workgroup needs

Drives associate growth via HR duties - 1:1s, Quarterly Syncs, Performance Reviews, Training Support

Qualification

Data engineering technologiesCloud data platformsProgramming languagesDatabase managementData architecture principlesMaster Data ManagementData pipeline orchestrationLeadership experienceConflict resolutionCollaborationAdaptabilityProblem-solving

Required

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

Strong technical proficiency in data engineering technologies (eg ETL tools, Spark, Kafka, DataForm), cloud data platforms, preferably GCP (others include Azure, AWS), data pipeline orchestration (eg Apache, Airflow, Jenkins), and extracts

Expertise in programming languages such as Python, Java, Scala

In-depth knowledge of database management (SQL, NoSQL), data warehousing, data lake, and data integration solutions

Adept at facilitating critical technical decisions, aligning teams around pipeline architecture and execution

Strong understanding of data architecture principles, including scalability, reliability and security

Proven ability to lead and mentor technical teams with experience in conflict resolution, collaboration, and fostering a culture of learning, accountability, and high performance

Ability to analyze complex technical problems and develop innovative solutions to overcome challenges

Open to learning and adapting new technologies, tools, and methodologies to keep the team competitive in a rapidly evolving field

Understanding of modern database solutions like Graph DB, Vector DB, Salesforce Cloud, AI technologies, with ability to translate to consumer needs & dependencies tracking

Comfortable challenging the existing ways of working with Product Owners, Architects, Test Leads, and Tech Leads to improve processes and outcomes

Strong willingness to challenge existing processes and advocate for new approaches that increase efficiency and quality

Proven track record of meeting deadlines, adjusting to scope changes, and adapting plans as necessary to align with organizational priorities

3 years of leadership or management experience preferred

Preferred

Bachelor's degree preferred: At least 5-7 years of experience in data engineering or a related field, with at least 2-3 years in a leadership role

3 years of leadership or management experience preferred

Master Data Management experience is a plus, but not required

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

Company

Ascension

Glassdoor3.4

Answering God's call to bring health, healing and hope to all.

Founded in 1999

St Louis, Missouri, USA

10001+ employees

https://healthcare.ascension.org

H1B Sponsorship

Ascension has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2025 (11)

2024 (7)

2023 (1)

2022 (3)