Senior Data Engineer – AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, manage, and execute intricate SQL queries for effective data management and validation.

• Exhibit subject matter expertise concerning data mapping, transformations, validations, and ingestion workflows.

• Oversee data processes, analyze data trends, and identify any anomalies or issues.

• Promptly report any issues related to data quality or interruptions in processes, adhering to standard operating procedures.

• Configure production solutions and services as required.

• Act as a change agent to pinpoint organizational enhancements and propose recommendations to refine business processes.

• Generate and update Standard Operating Procedure documents.

• Mentor and train new team members as necessary.

• Engage in meetings with clients and/or stakeholders.

• Diagnose issues and offer recommendations for resolution.

• Utilize sound judgment in choosing methods and techniques to achieve solutions.

• Complete assigned tasks efficiently.

• Participate in customer testing as needed for new technologies or modifications to existing systems.

• Provide after-hours or weekend support when required.

• Demonstrate the capability to work autonomously.

• Comply with all industry and organizational compliance rules and regulations to uphold data integrity.

• Fulfill task assignments using departmental ticketing/productivity systems within the specified deadlines.

• Accomplish organizational and individual objectives as outlined in performance reviews and goal-setting activities.

• Complete all special projects and additional duties as assigned.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Technology, or equivalent professional experience.

• Over 8 years of practical knowledge in big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake, etc.).

• Proficient in implementing data pipelines utilizing data engineering best practices in SQL, Spark, and Scala, with experience in a Databricks environment being advantageous.

• More than 8 years of experience in data analysis.

• Preferably experienced in the Healthcare sector, specifically in enrollment, medical claims, and/or pharmacy claims.

• Any Databricks/AWS certifications are highly regarded.

• Strong SQL and data modeling capabilities.

• Familiarity with data pipeline orchestration tools (e.g., Airflow, Databricks Workflows).

• Proficient in Microsoft Office Suite applications including PowerPoint, Word, Excel, and Outlook.

• Flexible working hours.

• Experience with project management tools such as JIRA.

🏝️ Benefits

• Medical, dental, vision, disability, and life insurance coverage.

• 401(k) savings plans.

• Paid family leave.

• 9 paid holidays each year.

• 17-27 days of Paid Time Off (PTO) annually, depending on specific levels and length of service with Cotiviti.