[Remote] Data Engineer (remote)

Note: The job is a remote job and is open to candidates in USA. Claritev is a dynamic team of innovative professionals focused on transforming healthcare through technology and data. They are seeking a Data Engineer to optimize data processes, maintain scalable pipelines, and collaborate with various teams to fulfill data needs while ensuring compliance with regulations.

Responsibilities

• Understand business processes and how they are modeled in various systems
• Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
• Implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes
• Maintain scalable data pipelines to support continuing increases in data volume and complexity
• Adhere to established best practices on data integration/engineering, as well as the future of our data infrastructure
• Managing and improving the performance of our database, queries, tools, and solutions
• Creating and maintaining data warehouse, databases, tables, SQL queries, and ingestion pipelines to power reports (Tableau), dashboards, predictive models, and downstream analysis
• Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
• Prepare data for predictive and prescriptive modeling
• Identify and analyze data patterns
• Identify ways to improve data reliability, efficiency and quality
• Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure
• Collaborate, coordinate, and communicate across disciplines and departments
• Ensure compliance with HIPAA regulations and requirements
• Demonstrate Company's Core Competencies and values held within
• Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk and priveleged Role
• The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary

Skills

• 4+ years of experience in data engineering, data warehousing, or related roles
• Strong proficiency in SQL and experience with relational and/or distributed databases
• Hands-on experience building and maintaining ETL/ELT pipelines
• Experience with big data processing frameworks (e.g., Spark, Hadoop, or similar)
• Proficiency in at least one programming language (e.g., Python, Scala, or Java)
• Experience working with cloud-based data platforms (AWS, Azure, or GCP)
• Experience with data lake/lakehouse architecture
• Strong understanding of data modeling, data quality, and data governance best practices
• Ability to work with large, complex datasets and optimize performance
• Solid problem-solving skills and ability to work in a collaborative team environment
• Experience working with healthcare data, particularly: EDI transactions such as 835 (remittance advice) and 837 (claims)
• Familiarity with clinical data and EMR/EHR systems (e.g., Epic, Cerner)
• Experience with Oracle Cloud Infrastructure (OCI) or similar Oracle cloud services
• Understanding of healthcare data standards (HL7, FHIR, HIPAA compliance)
• Exposure to workflow orchestration tools (e.g., Airflow, Prefect)
• Experience supporting analytics, reporting, or data science teams

Benefits

• Health insurance
• 401k
• Bonus opportunity
• Medical, dental and vision coverage with low deductible & copay
• Life insurance
• Short and long-term disability
• Paid Parental Leave
• 401(k) + match
• Employee Stock Purchase Plan
• Generous Paid Time Off - accrued based on years of service
• 10 paid company holidays
• Tuition reimbursement
• Flexible Spending Account
• Employee Assistance Program
• Sick time benefits - for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits
• Flexible schedules whenever possible
• A wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities

Company Overview

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