Associate Data Engineer

Health Intelligence

Health Intelligence, a leader in the healthcare industry, invites applicants to join its expanding Data Engineering team. The role is crucial for supporting ETL processes and constructing data pipelines under the guidance of Senior Data Engineers. This position contributes significantly to data transformations and visualizations aimed at enhancing downstream data consumption.

In this role you can expect to have the responsibilities:

• Develop ETL processes using PySpark and Snowflake.
• Assist in managing ETL workflows with Airflow.
• Collaborate with cross-functional teams to establish data requirements.
• Create unit tests and conduct data quality checks based on business needs.
• Perform ad-hoc data transfers between systems.
• Document data flows and processes with diagrams.
• Engage in code reviews to improve code quality and performance.

This role comes with the following benefits:

• Visa sponsorship available.
• Equal Employment Opportunity assured.

This role requires you to have:

• Bachelor's in Computer Science, Engineering, or related field with 2 years experience or Master's with 1 year experience in data engineering.
• Proficiency in Python and SQL with 1+ years of experience.
• Familiarity with big data tools like Apache Airflow, Snowflake, or Databricks.

You would benefit from having:

• Basic understanding of cloud platforms such as AWS, GCP, or Azure.
• Strong problem-solving, communication, and collaboration abilities.
• Capability to manage multiple projects in a fast-paced setting.
• Eagerness to learn and adapt within a dynamic data environment.

Health Intelligence offers a supportive work environment driven by innovation in healthcare. The salary depends on various factors, and they are committed to providing equal employment opportunities without regard to protected classifications.