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 ingestion, transformation, and governance to support healthcare cost reduction.
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 ensuring data quality and security compliance.
Compensation and benefits
The position offers a salary range of $130K-$140K, health insurance, 401(k) with match, bonus opportunities, paid time off, parental leave, life insurance, disability coverage, tuition reimbursement, and flexible schedules.
Experience and skills
Requires 10+ years in data engineering, expertise in SQL, Python, Spark, cloud platforms (OCI, AWS, Azure), data warehousing, EDI/HL7/FHIR processing, data governance, and CI/CD tools; a bachelor's degree is preferred.
Career development
Claritev provides professional development programs, educational opportunities, and advancement pathways within a supportive work environment.
Work environment and culture
The company values innovation, accountability, diversity, and empowerment, fostering a friendly and supportive environment with flexible scheduling.
Company information
Claritev is a healthcare technology company focused on reducing healthcare costs through innovative data and analytics solutions, emphasizing service excellence and diversity.
Job location and travel
This is a remote position, allowing flexible work arrangements.
Application process
Applications are accepted for at least 15 days from posting or while the job is listed, with no additional specific instructions provided.
Unique job features
The role involves working on a cutting-edge analytics platform integrating real-time healthcare data across multiple cloud services with a focus on HIPAA/HITRUST compliance and DataOps methodologies.
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
Position your resume to emphasize your 10+ years of data engineering experience, particularly your expertise with SQL, Python, and production-grade Spark on platforms like Databricks or EMR, aligning with Claritev’s next-gen analytics platform needs.
Highlight your experience optimizing Autonomous Data Warehouses or similar technologies (Snowflake, Redshift) with a focus on query tuning, partitioning, and data sharing, as these are critical for performance and scalability in this role.
Apply through multiple channels such as Claritev’s corporate website and LinkedIn to maximize your visibility and ensure your application reaches the right hiring managers.
Connect with current Claritev data engineering or analytics team members on LinkedIn; use ice breakers like commenting on their work with cloud-native platforms (OCI, AWS, Azure) or expressing curiosity about how they handle healthcare data governance and HIPAA compliance.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data ingestion,' 'data pipelines,' 'DataOps,' 'HIPAA,' 'FHIR,' 'Spark,' and 'cloud-native platforms' to ensure it passes initial automated screenings.
Leverage Jennie Johnson’s Power Apply feature to automate tailoring your resume, identify optimal application portals, and find LinkedIn contacts to network with, allowing you to focus more on preparing for interviews and skill enhancement.
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