Job summary
Job post source
This job is directly from Healthrise
Job overview
The Senior Data Engineer at Healthrise is responsible for designing and delivering innovative data solutions to support healthcare analytics and applications, impacting patient and financial success for health systems.
Responsibilities and impact
The role involves developing scalable ETL/ELT pipelines, building data models, creating APIs, ensuring data quality and governance, collaborating with cross-functional teams, and staying updated on emerging data technologies.
Experience and skills
The position requires 5+ years of data engineering experience, proficiency in Databricks, SQL, Azure Data Factory, Python, familiarity with healthcare data formats, cloud environment experience, and strong communication skills; preferred qualifications include HIPAA compliance experience and consulting background.
Work environment and culture
Healthrise values healthy relationships, continuous improvement, and excellence, offering a remote work environment with occasional travel and an agile, collaborative setting.
Company information
Healthrise focuses on improving healthcare systems through consulting, EHR transformation, revenue cycle management, technology solutions, and staff augmentation.
Job location and travel
The position is remote with up to 10% travel for major project initiatives.
Unique job features
The job features work with modern cloud-based technologies like Databricks and Azure, involvement in healthcare data, and opportunities for technical mentorship and innovation.
Company overview
Healthrise is a healthcare management company that specializes in revenue cycle management and consulting services for healthcare providers. They make money by offering solutions that optimize the financial performance of hospitals and healthcare systems, focusing on improving revenue collection, reducing costs, and enhancing patient satisfaction. Founded in 2013, Healthrise has established itself as a key player in the healthcare industry by leveraging technology and data analytics to deliver customized services that address the unique challenges faced by healthcare organizations. Their commitment to innovation and client success has driven their growth and reputation in the market.
How to land this job
Position your resume to emphasize your expertise in designing scalable ETL/ELT pipelines using Databricks, Azure Data Factory, and SQL, highlighting your hands-on experience with cloud data stacks and healthcare data formats like HL7 and X12.
Highlight your collaboration skills with cross-functional teams including data scientists, product owners, and consultants, as well as your experience working in agile environments and with tools like Azure DevOps, Git, and Jira.
Apply through multiple channels such as Healthrise's corporate careers site, LinkedIn, and other job boards to maximize your application visibility.
Connect with Healthrise data engineering or healthcare technology professionals on LinkedIn to ask about the team culture and key success factors for the Senior Data Engineer role. Ice breakers could include commenting on recent Healthrise projects or expressing interest in their work with Azure data technologies.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Databricks,' 'Azure Data Factory,' 'ETL pipelines,' 'healthcare data,' 'SQL,' 'Python,' and 'cloud data stack' to ensure your resume passes initial automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored resume customization, multi-channel applications, and LinkedIn networking outreach, allowing you to focus your time on preparing for interviews and technical assessments.
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