Job summary
Job post source
This job is directly from Claritev
Job overview
The Sr. Data Engineer at Claritev leads the design and optimization of a next-generation healthcare analytics platform, impacting data quality and security.
Responsibilities and impact
The role involves collaborating with stakeholders to understand data needs, designing and managing data pipelines, applying DevOps/DataOps principles, mentoring engineers, and continuously improving technology and processes.
Compensation and benefits
The salary range is $130K-$140K with health insurance, 401k with match, bonus opportunities, stock purchase plan, paid time off, parental leave, tuition reimbursement, and other benefits.
Experience and skills
Requires 10+ years in data engineering, expertise in SQL, Python, Spark, cloud platforms (OCI, AWS, Azure), data ingestion, EDI/HL7/FHIR processing, data governance, and CI/CD tools; a bachelor's degree is preferred.
Career development
Offers professional development programs and educational opportunities to support career advancement within a supportive work environment.
Work environment and culture
Claritev fosters innovation, accountability, diversity, and empowerment in a friendly, flexible, and supportive environment.
Company information
Claritev is a healthcare technology company focused on reducing healthcare costs through innovative data and analytics solutions.
Job location and travel
This is a remote position, allowing flexible work location.
Application process
Applications are accepted for at least 15 days from posting or while the job remains open; no specific documentation instructions provided.
Unique job features
The role involves working on a cutting-edge analytics platform using cloud-native technologies and emphasizes data security and governance in healthcare.
Company overview
Claritev appears to be a company focused on providing innovative technology solutions tailored to enhance business efficiency and digital transformation. While specific details about its operations are unclear from the search results, the company seems to operate in the IT and software development space, offering services such as process automation, advanced simulations, and data-driven insights. It may also be involved in business advisory or consulting, leveraging technology to optimize workflows and decision-making processes. Further research would be needed to confirm its exact offerings and market position.
How to land this job
Tailor your resume to highlight your extensive experience in data engineering, emphasizing your proficiency with SQL, Python, and production-grade Spark on platforms like Databricks or EMR, as these are core to Claritev's analytics platform.
Focus on showcasing your expertise with cloud-native data platforms such as OCI, AWS, and Azure, as well as your experience with healthcare data formats like EDI, HL7, and FHIR, which are critical for this role.
Apply through multiple channels including Claritev’s corporate careers page and LinkedIn to maximize your application’s visibility and chances of being noticed.
Connect with current Claritev data engineering or technology team members on LinkedIn to learn more about the team culture and the role; ice breakers could include commenting on recent Claritev innovations in healthcare data analytics or asking about their experience with the company’s data governance practices.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data pipelines,' 'data quality framework,' 'DataOps,' 'CI/CD,' 'Delta Lake,' and 'HIPAA compliance' to ensure it passes automated screenings.
Use Jennie Johnson’s Power Apply feature to automate tailored applications, identify multiple application portals, and find LinkedIn connections to network with, allowing you to focus your energy on preparing for interviews and skill enhancement.
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