Cloud Data Test Automation Engineer - Healthcare Claims Data

Job Title: SDET / Cloud Data Engineer - Healthcare Claims Data - 240680
Position Type: Direct Hire
Work Location: 100% Remote - EST Hours
Compensation Range: Starting at $130- $145K + bonus, equity

ABOUT OUR CLIENT + ABOUT THE ROLE

Our client is a healthcare analytics organization. They are building a cloud-native data platform to propel decision making for their healthcare end customers. Through a single-source-of-truth approach for Healthcare Claims Data, they are able to deliver insights on the efficiency and quality of health care delivery - across Medicare, Medicaid, HEDIS quality measurements and other healthcare avenues.

This role is a Test-Driven Cloud Data Engineer who has experience with Python, Databricks, Snowflake and MLOps. The data is related to Healthcare Claims and EDI / XML Transactions. A minimum 7-10 years experience is required for this role, with a depth (5+ years) in Healthcare Claims Data.

This individual will be joining a small team, as a Senior Individual Contributor, and will be responsible for creating Cloud Data Pipelines using Apache Airflow, incorporating automated testing, TDD and CI/CD Best-practices from end to end.

RESPONSIBILITIES

• Working as a member of a small team (<5 people), reporting to a Manager of Data Science
• Serving as a Senior Data Engineer, working in a Test-Driven, CI/CD and MLOps environment
• Working with prior experience in a similar Cloud data ecosystem - with SQL and Python, Databricks, Snowflake, Apache Airflow for pipeline orchestration
• Helping to grow a team, and mentor junior engineers / analysts
• Building robust cloud data pipelines for Healthcare Claims data using Apache Airflow, DAGs, Databricks, Python, SQL
• Working with an in-depth knowledge of Healthcare Claims data (TriZetto, FACETS, EDI transactions, XML Files, Medicare / Medicate Advantage data, HEDIS data)
• Engineering robust and embedded continuous testing / branching strategies for the cloud data pipelines serving the Data Lake and Snowflake
• Working in a Test-Driven Development / Continuous Integration / Continuous Testing methodology
• Contributing to Machine Learning projects to help validate claims data accuracy.

QUALIFICATIONS

• 10+ years of professional experience
• Minimum 5 years of recent, consistent experience in Healthcare Claims data, EDI Transactions, XML files
• Experience working in TDD, CI/CD environments
• Expertise with Python and SQL
• Experience with Databricks, Jupyter Notebooks
• Cloud Data experience - Databricks, Snowflake, Datalakes
• End to End ETL Test Automation using Apache, Airflow, DAGs
• TeamCity or Jenkins for CI Automation
• Machine Learning / MLOps preferred

Please note - candidates must be eligible to work directly for our client without the need for visa sponsorship now, or in the future.

For California Applicants:

We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance (FCIHO), Los Angeles Fair Chance Ordinance for Employers (ULAC), The San Francisco Fair Chance Ordinance (FCO) , and the California Fair Chance Act (CFCA).

This position is subject to a background check based on its job duties, which may include patient care, working with vulnerable populations, access to financial and confidential information, driving, working with heavy machinery, or working in a warehouse or laboratory environment. Due to these job duties, this position has a significant impact on the business operations and reputation, as well as the safety and well-being of individuals who may be cared for as part of the job position or who may interact with staff or clients.