Data Integration Engineer II

• Provide data-related support to analytics and customer success teams, assisting with troubleshooting, reporting needs, and client data inquiries.

Required Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.

• Minimum of 3 years of professional experience in data engineering, data integration, or a related role.

• Strong proficiency in SQL, including complex querying, data transformation, and query performance optimization.

• Experience working with cloud-based data platforms and services, particularly within AWS (e.g., S3, Secrets Manager/Vault, DMS, or similar services).

• Hands-on experience with modern data warehousing platforms, such as Snowflake, PostgreSQL, Amazon Redshift, or Microsoft SQL Server.

• Experience developing, debugging, and maintaining workflow orchestration pipelines using Apache Airflow, including DAG development and operational support.

• Experience using dbt (data build tool) to develop, test, and manage modular SQL-based data transformation models within modern data warehouse environments.

• Experience with version control systems and collaborative development workflows, using tools such as GitHub or Bitbucket.

• Proficiency in Python, particularly for data manipulation, automation, and integration tasks.

• Familiarity with CI/CD practices and automation tools, such as Jenkins or GitHub Actions.

• Strong written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams.

Preferred Qualifications

• Experience supporting data quality monitoring, data observability, or automated validation frameworks.

• Familiarity with data science or machine learning workflows from a data engineering perspective.

• Experience working with healthcare-related datasets, such as claims, clinical, or regulatory data.

• Please note, due to the requirements of this position, responses may automatically disqualify you from moving forward in the application process. Please review minimum qualifications thoroughly before applying.

Why Join our team? You will have the opportunity to work on modern data platforms and tools, collaborate with cross-functional teams, and help build reliable data systems that drive meaningful insights and business value.

We’re as passionate about our people as we are about making our mark on healthcare. Fostering a fun and challenging environment that’s centered around personal and professional growth has brought us to where we are today. We are constantly seeking out new ways to reinvest in our team members because let’s face it, we all do our best work when we feel valued.

If you require any accommodations during the application, interview, or assessment process due to a disability or any other accessibility-related concern, please do not hesitate to reach out to our People Ops and Recruiting team at

Originally posted on Himalayas

• Data Integration Engineer
• Data Engineer
• ETL Developer
• Data Warehouse Engineer

Source: Himalayas