
Platform Engineer
Remote · USFull-timeSeen 1mo agoSeen in employer's feed 3 days ago
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Job overview
The Platform Engineer joins a data engineering community to design, build, and monitor scalable data platforms and pipelines, implement automated workflows, enable self‑service data architecture, and promote best practices while mentoring teammates and supporting data security in a fast‑changing healthcare environment.
Skills & qualifications
Skills
Qualifications
Full job description
Experience Required
2
Minimum Education Required
Bachelors
Expected Start Date
09/14/2026
Compensation
$
Hours Per Week
40
Number Of Positions
1
Shift
First Shift (Day)
Job Description
As a Platform Engineer you will be part of the data engineering community which includes data platforms, data warehousing, data science, 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.
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.
•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 in order to foster growth of our culture, our people, and our platforms.
Education: The minimum qualification required for the performance of the above specialty occupation duties is a bachelor's degree in Computer Science , Engineering or equivalent in a related field or a foreign equivalent with relevant experience.
Place of Work
Remote
Requisition ID
09-TX-01-2026
Job Type
Full Time
Application Email
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