Data Integration Engineer II

About Our Client

The organization operates in the healthcare technology space, focusing on conversational AI and member engagement for health plans including Medicare Advantage, Medicaid, and Commercial sectors. It addresses challenges in healthcare communication by facilitating effective member conversations that aim to close care gaps, improve quality ratings, and enhance health outcomes on a large scale across tens of millions of Americans.

About the Opportunity

The Data Integration Engineer II is responsible for designing, developing, and maintaining scalable data pipelines that support analytics, reporting, and product functionalities within the organization's predictive vertical. This role ensures data accuracy, reliability, and accessibility by collaborating with multiple internal teams, contributing to the organization's ability to deliver impactful healthcare insights and solutions.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data integration pipelines.
• Support data ingestion, validation, transformation, cleansing, and curation.
• Monitor and optimize production data pipelines for performance and reliability.
• Create and maintain technical documentation for data systems.
• Develop tools for automated data profiling, quality monitoring, and testing.
• Collaborate to identify and resolve data anomalies during onboarding.
• Partner with product engineering to align data capture with requirements.
• Provide data support to analytics and customer success teams.

Requirements

• Bachelor's or master's degree in computer science, engineering, or related technical field, or equivalent experience.
• Minimum 3 years of experience in data engineering or data integration.
• Strong SQL skills including complex querying and performance optimization.
• Experience with cloud-based data platforms, especially AWS services.
• Hands-on experience with modern data warehouses like Snowflake, PostgreSQL, Redshift, or SQL Server.
• Experience with Apache Airflow for workflow orchestration.
• Proficiency with dbt for SQL-based data transformation models.
• Familiarity with version control systems such as GitHub or Bitbucket.
• Proficiency in Python for data tasks.
• Knowledge of CI/CD practices and automation tools.
• Strong communication skills for cross-team collaboration.

Benefits & Perks

• Remote-first work environment with flexible PTO.
• 100% company-paid employee medical, dental, and vision insurance; contributions toward dependent coverage.
• Company-paid life and disability insurance.
• 401(k) plan with 4% company match and access to financial advisors.
• Six weeks of parental leave.
• Structured onboarding and ongoing training programs.
• Culture that includes peer-to-peer bonuses and team celebrations.