[Hiring] Data Engineer II @Careforth

Role Description

This individual will support the growth of our enterprise DataHub/Delta Lake architecture by building and maintaining cloud-native, Spark-based data pipelines. The ideal candidate has solid hands-on experience with Databricks, AWS Cloud services, and Apache Spark (Python/Scala) and is eager to grow their technical skills while contributing to high-impact projects.

• Build and Maintain Pipelines: Develop and support scalable and secure data pipelines using Databricks, Apache Spark, and AWS Cloud services (S3, Glue, Lambda).
• Collaborate on Design: Work with senior engineers and technical leads to implement data models and ETL/ELT workflows based on business requirements.
• Data Quality & Testing: Write clean, efficient code and participate in peer code reviews to ensure quality, testing coverage, and performance.
• Operational Support: Monitor and troubleshoot production data workflows to ensure reliability and assist in resolving data issues as they arise.
• Continuous Improvement: Help identify areas for optimization in existing pipelines to improve cost-efficiency and speed.
• Cross-Functional Teamwork: Partner with business analysts.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 3–5 years of professional data engineering experience, with exposure to cloud-based data environments.
• Experience handling healthcare data such as medical claims, electronic medical records highly desired.

Requirements

• Proficiency in Apache Spark (PySpark or Scala) for data processing.
• Experience working with Databricks or similar data platforms.
• Familiarity with AWS services (S3, Lambda, Glue) and SQL.
• Strong working knowledge of Python.

Benefits

• Flexible schedules
• Remote-first culture
• Nationwide recognized wellness program