Lead Data Engineer
Access SystemsInternship
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a Master’s degree in Computer Science or equivalent work experience, and have at least 7 years of experience in Data Engineering. Strong knowledge of SQL and relational databases is required, along with deep understanding and prior experience with Spark and Spark/pySpark. Experience with AWS cloud services (S3, Athena, EMR, Kinesis) and data pipeline technologies (Airflow, Luigi) is preferred, as is experience with business intelligence tools (Tableau, Qlik) and Databricks.
The Senior Data Engineer will develop and maintain data pipelines while achieving high reliability and efficiency, guide data infrastructure design and develop proof of concepts, liaise with engineering and product to help the Research team develop new data-products, maintain documentation for the Data Warehouse and other data products, and design, develop, QA, and maintain code related to data engineering. They will also provide thought-leadership and dependable execution on diverse projects.
Specialty-specific electronic health record systems
Modernizing Medicine provides specialty-specific Electronic Health Records (EHR) systems designed to improve the workflow of healthcare providers. Their main products, EMA and gGastro EHR, help users manage patient information and administrative tasks more efficiently, allowing them to concentrate on patient care. These systems adapt to the specific practices of each user, enhancing their effectiveness. Unlike many competitors, Modernizing Medicine focuses on tailored solutions for various medical specialties, which sets them apart in the healthcare technology market. The company's goal is to streamline healthcare delivery and improve patient outcomes by providing tools that simplify administrative processes.