Data Engineer - Python, Healthcare Domain Experience

Data Engineer

Full Time

Remote

Description

We are seeking a talented Healthcare Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with a focus on healthcare data systems and analytics. As a Healthcare Data Engineer, you will play a key role in designing, building, and maintaining data pipelines, data warehouses, and analytics platforms that support our healthcare software solutions.

Education

Bachelor's, Master's, or Ph.D. degree in computer science, engineering, statistics, or a related field.

Experience

3-5 years

Responsibilities

• Collaborate with cross-functional teams, including data scientists, software developers, and healthcare professionals, to understand data requirements and design scalable and efficient data solutions.
• Design, develop, and maintain data pipelines and ETL (Extract, Transform, Load) processes to ingest, process, and transform healthcare data from diverse sources.
• Implement data integration and data modeling solutions to ensure the consistency, accuracy, and integrity of healthcare data.
• Optimize data storage and retrieval mechanisms by designing and implementing data warehouses, data lakes, and data marts.
• Develop and maintain data quality and data governance frameworks.
• Collaborate with DevOps engineers to automate deployment processes and manage infrastructure as code.
• Implement data security and privacy measures to protect sensitive healthcare information.
• Perform data analysis, data profiling, and data visualization to identify trends, patterns, and insights in healthcare data.
• Stay current with emerging technologies, trends, and best practices in data engineering, healthcare IT, and healthcare analytics.
• Document data architecture, data flows, and technical specifications, and provide training and support to internal stakeholders.

Qualifications

• Strong proficiency in programming languages and scripting tools (e.g., Python, SQL, Scala).
• Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, and HDFS).
• Solid understanding of data modeling concepts, relational databases, and NoSQL databases.
• Knowledge of data warehousing architectures, data integration techniques, and ETL tools.
• Familiarity with cloud computing platforms and containerization technologies.
• Understanding of data security, privacy, and compliance requirements in healthcare IT.
• Excellent problem-solving skills, analytical thinking, and attention to detail.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Experience with healthcare interoperability standards and protocols.
• Knowledge of healthcare data exchange formats.
• Previous experience working with healthcare data analytics tools and platforms.
• Understanding of machine learning and artificial intelligence techniques for healthcare data analysis.