Senior Data Engineer Elixir

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!

Position Summary

What makes HCA Healthcare Information Technology Group (ITG) unique as a technology company is that our solutions ultimately impact the care of patients. Although our skills are needed in many industries, we in ITG apply them specifically to the noble cause of healthcare. We are "Healthcare Inspired." It is this guiding vision that pervades and positively influences every level of our organization.

It shapes our mission, defines our values, and brings our leaders and employees together in a shared enthusiasm for their work, setting ITG apart as a uniquely purpose-driven company in the IT industry. As a part of that, we exist to raise the bar, unlock possibilities, and care like family. As a Sr. Staff Data Engineer you will be part of the data engineering community which includes integration platforms, software engineering, and visual insights.

We use our data infrastructure to power analytics and data products and to deliver relevant experiences in real-time. We enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world of healthcare. Works closely with other HCA ITG Architects and Engineers to ensure enterprise technical standards are maintained and our integration platforms continue to deliver data as expected.

Formulates and defines system scope and objectives through research and fact-finding to develop or modify moderately complex information systems. Pairs with analysts to create and implement detailed specifications. Designs, codes, tests, debugs, documents, and maintains those programs. Competent to work on all phases of applications systems analysis and programming activities. Provides guidance to other staff members through all phases of project.

• Meets with customer peers, and vendors regularly to define and resolve product or project problems and issues
• Analyzes business requirements, develops and evaluates alternatives, prepares approaches for complex programming systems or applications
• Design and create real-time data pipelines that accelerate the time from idea to insight.
• Define and document data engineering best practices, processes, and standards. Support teams in upholding these standards and evolve and update the standards as technology changes.
• Produce high-quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.
• Promote and support data security best practices that align with industry standards and regulatory and legal requirements.
• Participate in all systems software buy or build decisions
• Contributes to development of strategy and architecture
• Provides technical advice to management recommending approaches and solutions to complex problems

• Analyzes objectives, solves problems, and develops requirements and proposals for programming systems. These activities require sophisticated business and technical expertise, and extensive programming systems.
• 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 self-service data architecture supporting query exploration, dashboards, data catalog, and rich data discovery.
• Lead data analysis efforts and solution proposals to data-related and data architecture problems.
• Lead implementation of unit and integration tests and promote and conduct performance testing where appropriate
• Work may result in publication of technical papers
• Keeps technically current with changes and improvements within area of assignment or specialization, incorporating them where applicable
• Contributes to the development of new programming / analysis concepts and improvements of existing technique

• Build productive and healthy relationships within the department and other teams to foster growth of our culture, our people, and our platforms.
• Work with data engineers, data…