What you will accomplish in this role

Job Summary and Qualifications

The Staff Data Engineer serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud enterprise data initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This role requires 'self-starters' who are proficient in problem solving and capable of bringing clarity to complex situations. 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.

In addition, this candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team (consultant and employee) environment. In addition, the applicant must be willing to mentor other developers to prepare them for assuming the responsibilities.

As a Staff Data Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. The position will be critical in building the team's engineering practices in test driven development, continuous integration, and automated deployment and is a hands-on team member who actively coaches the team to solve complex problems.

In addition, the Staff Data Engineer will be expected to leverage AI-native workflows to accelerate solution delivery. This includes the ability to use AI-assisted development tools for rapid software engineering, apply modern AI building blocks such as prompting, retrieval-augmented generation (RAG), evaluation frameworks, agentic workflows, and machine learning, and to rapidly prototype and iterate on data-driven applications.

What you will do:

At HCA DT&I, your deliverables will influence patient care. Every process, technology, and decision matters. This role will provide application development for specific business environments. Focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for technically robust solutions encompassing all business, architecture, and technology constraints.

• 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.
• Enable a self-service data architecture supporting query exploration, dashboards, data catalog, and rich data discovery.
• Promote a collaborative team environment that prioritizes effective communication, team member growth, and success of the team over success of the individual.
• Design and create real-time data pipelines that accelerate the time from idea to insight.
• Adheres to and supports data engineering best practices, processes, and standards.
• Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.
• Helps promote and support data security best practices that align with industry standards and regulatory and legal requirements.
• Help mentor team members on complex data projects and following the Agile process.
• 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.
• Be a leader in the HCA data community. Evangelize data engineering best practices and standards, participate, or present at community events, and encourage the continual growth and development of others.
• Be curious. Be growth minded. Encourage and enable this in others.
• Demonstrate professional and personal maturity through self-leadership.
• Build productive and healthy relationships within the department and other teams to foster growth of our culture, our people, and our platforms.
• Practices and adheres to the "Code of Conduct" philosophy and "Mission and Value Statement."
• Perform other duties as assigned.
• Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
• Work independently, and complete tasks on-schedule by exercising strong judgment and problem-solving skills.
• Analyze requirements, design AI/ML based solutions, and integrate those solutions for customer environments.
• Proven experience effectively prioritizing workload to meet deadlines and work objectives.
• Works in an environment with rapidly changing business requirements and priorities
• Shares knowledge and experience to contribute to growth of overall team capabilities.
• Actively participate in technical group discussions and adopt any modern technologies to improve the development and operations.
• Apply AI-native engineering practices to design, implement, and optimize data and software systems, accelerating time-to-value.
• Incorporate prompt engineering, RAG pipelines, and automated evaluation techniques into data solutions and workflows.
• Prototype, test, and iterate rapidly using AI-assisted development approaches, ensuring scalable and reliable production systems.
• Explore and integrate agentic workflows and emerging AI/ML capabilities to enhance automation and decision-making across platforms.

What you will need to have:

• Bachelor's degree in computer science, related technical field, or equivalent experience required
• Master's degree in computer science or related field preferred
• 5+ years of experience as a Data Engineer required
• 1+ year(s) of experience in healthcare preferred
• 7+ years of experience in information technology required
• Demonstrates an empathetic and growth mindset with a willingness to learn new skills, technologies, and methodologies. required
• Strong knowledge of public cloud best practices and design patterns used in creating, automating, and supporting data pipelines. required
• Strong ability to assemble large, complex sets of data that meet functional and non-functional product requirements. required
• Strong ability to identify, design, and implement internal process improvements including redesigning data platforms for greater scalability, optimized data delivery, and automating manual processes. required
• 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. required
• Strong ability to present and facilitate technical ideas. required
• Expert ability using source control management tools such as Git/GitHub. required
• Expert ability using CI/CD automation tools. required
• Strong understanding of SQL and analytical data warehouses. required
• Strong understanding of Agile methodologies and how to apply Agile within the team. required
• Helps coach and mentor junior team members and others external to the team. required
• Proven ability to complete work, make sound decisions, and plan and accomplish goals without explicit direction/guidance from leadership. required
• Builds and nurtures healthy relationships with all colleagues. required
• Stays abreast of public cloud technologies, capabilities, and industry use of public cloud to help guide HCA's strategy and adoption. required
• Demonstrates productive and inclusive communication skills with all colleagues. required
• Excellent problem-solving and analytical skills. required
• Experience applying prompt engineering techniques to improve accuracy and efficiency of AI-assisted solutions. required
• Strong ability to prototype and iterate using AI-assisted development tools (e.g., Copilot, ChatGPT, or equivalent). required

• 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

• 4+ Years of hands-on experience with many of the following components:

Spark Streaming, Kafka

SQL, JSON, Avro, Parquet

Java, Python, or Scala

• 18+ months of hands-on experience with many of the following components:

Hands-on experience with AI-assisted development tools (e.g., Copilot, ChatGPT, or equivalent) to accelerate engineering tasks.

• Familiarity with modern AI application patterns such as prompting strategies, RAG, evals, and agent-based systems.
• Demonstrated ability to rapidly prototype and iterate with AI/ML technologies to deliver practical, production-ready solutions.
• A growth mindset with curiosity to experiment with emerging AI frameworks and incorporate them into engineering practices.

Certifications (a plus, but not required): GCP Cloud Professional Data Engineer

If you find this opportunity compelling, we encourage you to apply for our Staff Data Engineer opening. We promptly review all applications. Highly qualified candidates will be directly contacted by a member of our team.We are interviewing apply today!