HCA Healthcare is looking for a Staff Data Engineer to ensure the continued provision of high-quality, efficient patient care by developing and maintaining NextGen solutions for GCP Cloud enterprise data initiatives. The role aims to build a modular, scalable data solution that addresses current needs and serves as a foundation for future success, while also accelerating solution delivery through AI-native workflows.
Requirements
- Strong knowledge of public cloud best practices and design patterns used in creating, automating, and supporting data pipelines.
- Strong ability to assemble large, complex sets of data that meet functional and non-functional product requirements.
- Strong ability to identify, design, and implement internal process improvements including redesigning data platforms for greater scalability, optimized data delivery, and automating manual processes.
- Strong ability to create and use analytical tools to monitor data pipeline metrics and provide actionable intelligence to increase operational efficiency and valuable data outcomes.
- Expert ability using source control management tools such as Git/GitHub.
- Expert ability using CI/CD automation tools.
- 2+ years hands-on experience with GCP platform and experience with many of the following components: Cloud Run, GKE, Cloud Functions Pub/Sub,Bigtable, Cloud SQL, Cloud Spanner BigQuery, Dataflow, Data Fusion Cloud Composer, DataProc, CI/CD, Cloud Logging Vertex AI, NLP, GitHub
Responsibilities
- Work with data engineers, data architects, data scientists, and other internal stakeholders to understand product requirements and then design, build, and monitor data platforms and pipelines that meet today's requirements but can gracefully scale.
- Implement automated workflows that lower manual/operational costs, define and uphold SLAs for timely delivery of data, and move the company closer to democratizing data.
- Design and create real-time data pipelines that accelerate the time from idea to insight.
- Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.
- Help lead data analysis efforts and solution proposals to data related and data architecture problems.
- Help lead implementation of unit and integration tests and promote and conduct performance testing where appropriate.
- Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
Other
- The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability.
- Due to the emerging and fast-evolving nature of GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.
- Promote a collaborative team environment that prioritizes effective communication, team member growth, and success of the team over success of the individual.
- Helps coach and mentor junior team members and others external to the team.
- Demonstrates productive and inclusive communication skills with all colleagues.
