Data Engineer

Role Overview

Join Claritev's dynamic team of innovative professionals to develop and deploy Data Engineering Platform and Integration Solutions. Work closely with the Data Engineering team to implement data solutions for the organization using Python, PySpark, and other big data solutions.

What You Will Do

Implement data structures, workflows, and integrations between enterprise platforms to ensure accurate and timely execution of business processes. Maintain scalable data pipelines, manage and improve database performance, and create and maintain data warehouse, databases, tables, SQL queries, and ingestion pipelines.

Why It Might Be a Fit

This role is ideal for a detail-oriented individual with strong problem-solving skills and experience with advanced analytics tools, database development, and data governance. The successful candidate will be able to work independently, rely on judgment and experience to complete job responsibilities, and collaborate with cross-functional teams.

Requirements

• High School Graduate
• 4+ years' related experience
• 2+ years' 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
• 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
• 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
• 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

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