Sr. Data Engineer / ETL Expert -W2

Summary: The role of Sr. Data Engineer / ETL Expert is a fully remote position requiring extensive experience in data engineering, particularly within the healthcare domain, focusing on Medicaid and CMS. The candidate must possess strong technical skills in Python, SQL, and AWS services, along with familiarity in DevOps practices. The position emphasizes expertise in data integration and migration processes, with a preference for experience in mainframe modernization projects.

Key Responsibilities:

• Utilize Python (Flask, Pandas) and PySpark for data engineering tasks.
• Implement SQL, ETL, and data migration processes.
• Integrate data using Apache NiFi.
• Leverage AWS services such as S3, Athena, and Glue.
• Manage PostgreSQL databases.
• Deploy applications using Docker containers.
• Understand and implement CI/CD pipelines, preferably with Jenkins.
• Utilize DevOps tools and processes effectively.
• Support tools like JIRA, Confluence, and SPLUNK for logging and documentation.
• Participate in mainframe modernization projects as needed.

Key Skills:

• 8-12 years of experience in data engineering.
• Domain experience in healthcare, specifically Medicaid and CMS.
• Expertise in Python (Flask, Pandas) and PySpark.
• Strong SQL skills and experience with ETL processes.
• Proficient in data integration using Apache NiFi.
• Experience with AWS services (S3, Athena, Glue).
• Familiarity with PostgreSQL databases.
• Working knowledge of Docker containers.
• Understanding of CI/CD pipelines, preferably using Jenkins.
• Experience with DevOps tools and processes.
• Proficient in supporting tools such as JIRA, Confluence, and SPLUNK.
• Preferred experience with mainframe modernization projects.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT