Data Engineering Manager

Description Introduction Are you passionate about the patient experience? At HCA Healthcare, we are committed to caring for patients with purpose and integrity. We care like family Jump-start your career as a(an) Data Engineering Manager today with HCA Healthcare. Benefits HCA Healthcare offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include: + Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation. + Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more. + Free counseling services and resources for emotional, physical and financial wellbeing + 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service) + Employee Stock Purchase Plan with 10% off HCA Healthcare stock + Family support through fertility and family building benefits with Progyny and adoption assistance. + Referral services for child, elder and pet care, home and auto repair, event planning and more + Consumer discounts through Abenity and Consumer Discounts + Retirement readiness, rollover assistance services and preferred banking partnerships + Education assistance (tuition, student loan, certification support, dependent scholarships) + Colleague recognition program + Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence) + Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income. Learn more about Employee Benefits ( _Note: Eligibility for benefits may vary by location._ Come join our team as a(an) Data Engineering Manager. We care for our community Just last year, HCA Healthcare and our colleagues donated $13.8 million dollars to charitable organizations. Apply Today Job Summary and Qualifications This position will manage data engineers towards the successful development and maintenance of data pipelines using HCAu2019s Google Cloud Platform (GCP). This role will guide the teams that build and maintain data pipelines from all HCA source systems that require data to be integrated into the GCP. Additionally, this role will oversee the building and maintenance of pipelines that send and receive data to external vendors and affiliates. Data engineering managers should have advanced communication and interpersonal skills, be able to work well in teams, and be self-motivated. As a Data Engineering Manager, you manage your project goals, contribute to product strategy, and help develop your team. Operating with scale and speed, our exceptional data engineers are just getting started -- and as a manager, you guide the way. Data Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers to build data pipelines and resolve architecture challenges. A data engineering manager is responsible for designing, building, optimizing, and maintaining data processing systems to ensure data is accessible and usable for analysis. What you will do: + Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. + Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Assigns, delegates, and monitors the day-to-day work of data engineers. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Removes barriers and hurdles that stand in the way of the teamu2019s success. + Oversees all the development and operational aspects of the Enterprise Big Data Management team. + Upholds and strengthens best practices and SOPu2019s in compliance with audit and regulatory standards along with any HCA or department specific defined guidelines. + Recruit, develop, and manage employees within area of responsibility to lead data engineers who build data pipelines into various source systems, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. + Establish and negotiate timelines with internal and external team members for completion of activities for a group of projects. + Oversee the service levels of enterprise data management applications. + Assist in the design and support of data flows required to support current and future Enterprise reporting initiatives. Data flows include any type of clinical or administrative data exchange such as HL7, CCD, or file extracts. + Interacts and builds relationships with various Data Management and other functional area colleagues. + Perform Employee Performance Evaluations. + Coordinate and communicate with external teams and leaders on a consistent basis to address data requests, project plans, and development activities. + Solve problems of non-routine nature and propose novel, practical approaches to data collection and management. + Strong analytical and technical skills with ability to analyze issues, assess technical risks, and recommend sound solutions in a timely manner. + Participate as Subject Matter Expert (SME) as required for requirements definition, design reviews, and tool selection of clinical data management and analytical platforms. + Successful introduction and implementation of tools, technologies, processes that make the team more efficient, productive and/or increase quality. + Ability to work under tight timelines. + Share passion for staying on top of tech trends, experimenting with, and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community. + Perform unit tests and conduct reviews with other team members to make sure our code is rigorously designed, elegantly coded, and effectively tuned for performance. + This role is central to the goal of rapidly increasing our capability to quickly access and analyze data for insights that enable the teams to drive improvements in business-critical areas. + Create data products for data science and business analyst team members to improve their productivity. + Foster a culture of sharing, re-use, and design for scale, stability, and operational efficiency of data and analytical solutions. Evaluate, implement, and deploy emerging tools and process for analytic data engineering to improve our productivity as a team. + Partner with data scientists, machine learning engineers, business intelligence engineers and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. + Work closely with process owners, product owners and business users. + Responsible for implementing best practices around systems integration, security, performance and data management. + Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. + Performs other duties as assigned. + Practices and adheres to the u201cCode of Conductu201d philosophy and u201cMission and Value Statement.u201d + Demonstrate strong, problem solving, communication, organizational, time management, and multi-tasking skills. + Demonstrated leadership skills. + Experience working with complex and large volumes of data, and database applications. + Experience ensuring data quality across multiple datasets used for analytical purposes. + Experience with GCP tools and services. + Demonstrated ability to champion projects from beginning through implementation, meet deadlines, manage multiple priorities and perform job responsibilities accurately with minimal supervision. + Ability to lead research into data related issues. + Understands relational database, client server concepts, and software development life cycle methodology. + Ability to work independently, positively manage conflict, and work in a fast-paced environment. + Display detail-oriented approach to work. What qualifications you will need: Bachelor's degree in computer science, related technical field required Master's degree in computer science, related technical field preferred 3+ years of experience in a leadership role required 1+ year(s) of experience in Healthcare required 5+ years of experience in Information Technology required 5+ Years of hands-on experience with many of the following components: Spark Streaming, Kafka SQL, JSON, Avro, Parquet Java, Python, Scala 3+ Years of hands-on experience with GCP platform and experience with many of the following components: Cloud Run, GKE, Cloud Functions Bigtable, Firestore, Cloud SQL, Cloud Spanner GoLang, Pub/Sub BigQuery, Dataflow, Data Fusion Cloud Composer, DataProc, CI/CD, Cloud Logging Vertex AI, NLP, GitHub

Created: 2025-10-04