Data Engineer (remote)

Claritev•New York, NY

6h•$95 - $105•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

Minimum high school diploma and four (4) years' related experience, three (3) of which should be inclusive of experience with OOP, SQL, schema designing, data modeling, designing, building, and maintaining data processing systems.
Bachelors' degree in computer science, information technology or a similarly relevant field is highly preferred.
Experience with advanced analytics tools with Python and PySpark.
Experience using SQL, SPARK, and Azure Data Factory (ADF).
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.
Excellent communication skills (verbal, listening and written)
Ability to build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.
Ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
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
Able to prioritize and manage multiple projects and requests at any one time
Strong attention to detail when identifying data relationships, trends, and anomalies.
Thinking through long-term impacts of key design decisions and handling failure scenarios.
Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
Ability to meet strict deadlines, work on multiple tasks and work well under pressure

Nice To Haves

Experience with Databricks and SSIS are nice to have.
Exposure to Big Data Development using Hive, Impala, Spark, and familiarity with Kafka
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

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 report, 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
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