Data Engineer (remote)

Claritev•New York, NY

16h•Remote

About The Position

At Claritev, we are a dynamic team focused on bending the cost curve in healthcare for all. We are dedicated to service excellence, fostering innovation, nurturing accountability, championing diversity, and empowering our collective potential. We are on a transformational journey to become a leading technology, data, and innovation voice in healthcare. This Data Engineer role is part of the team responsible for developing and deploying Data Engineering Platform and Integration Solutions. The primary responsibility involves working closely with the Data Engineering team to implement data solutions for the organization using Python, PySpark, and other big data solutions, creating technical specification documents and test plans, performing data analysis, and providing support for the data solutions across the enterprise.

Requirements

Minimum High School Graduate and 4+ years’ related experience, two (2) of which should be inclusive of experience with schema designing, developing, and maintaining data processing systems.
Experience with advanced analytics tools for Object-Oriented/object function scripting using languages such as Python and PySpark.
Database development experience using ETL Process, SQL, SPARK, or BigQuery and experience with Delta Lakes and Data Warehouse, use of Databricks
Experience in triaging data issues, analyzing end-to-end data pipelines and working with business users in resolving issues.
Experience in working with data governance/data quality and data security teams and specifically data stewards and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification.
Exposure to agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines.
Excellent communication skills (verbal, listening and writing)
Ability to build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.
An agile learner who brings strong problem-solving skills and enjoys working as part of a technical, cross functional team to solve complex data problems
Strong attention to detail when identifying data relationships, trends, and anomalies.
Ability to meet strict deadlines, work on multiple tasks and work well under pressure

Nice To Haves

Bachelor’s degree in computer science, information technology or a similarly relevant field is highly preferred.
Licensures, professional certifications, and/or Board certifications as applicable is a plus

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
Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
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.

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