Data Engineer (remote)

Claritev•New York, NY

2d•$110 - $130•Remote

About The Position

At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders – internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential. Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!

Requirements

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

Nice To Haves

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

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.

Benefits

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
WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional 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