To support healthcare data initiatives, the full-time Data Analyst Engineer will design and maintain ETL processes, manage data pipelines using Airflow, and implement data quality checks while working remotely. Key responsibilities Design, develop, and maintain ETL processes for data ingestion and transformation Utilize workflow orchestration tools to manage and optimize data pipelines Analyze data for trends and implement data quality checks to ensure accuracy and consistency Required qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (Master's preferred) 3+ years of experience in data engineering or ETL development, preferably in healthcare Proficiency in SQL, Python, and Spark for data transformation and analysis Experience with workflow orchestration tools like Apache Airflow Strong knowledge of ETL processes and cloud-based data solutions (AWS, GCP, or Azure)
Data Analyst Engineer in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.