Sr. Data Management Developer

				Overview:

Since our founding in 1924, we've cut cardiovascular disease deaths in half, but there is still so much more to do. To overcome today's biggest health challenges and accelerate this progress, we need passionate individuals like you. Join our movement, be part of the progress, and help ensure a healthier future for all. You matter, and so does the impact you can make with us.

The American Heart Association has an excellent opportunity for a Senior Data Management Developer based out of our National Center (Home Based work options are acceptable).

We are seeking a Senior Data Management Developer  with expertise in software development and data architecture and management in a cloud environment to develop and maintain robust data solutions that empower our research and healthcare initiatives. You will collaborate closely with American Heart Association data scientists, clinical and research volunteers, and program managers to drive innovation and solve research questions.

This is a fixed term position with funding through 6/30/2028

The Association offers many resources to help you maintain work-life harmonization through your changing needs and life situations. To help you be successful, you will have access to Heart U, our award-winning corporate university, as well as additional training and support, locally.

#TheAHALife is our company culture, our way of life, reflecting our diversity, equity & inclusion, our focus on work-life harmonization and our Guiding Values. Discover why you will Be Seen. Be Heard. Be Valued(tm) at the American Heart Association by following us on LinkedIn, Instagram, Facebook, X (formerly Twitter), and at heart.jobs.

Responsibilities:

* Design and implement data pipelines and architectures for efficient data collection, transformation, and loading (ETL) across various platforms, specifically in AWS cloud but  experience with other Cloud providers acceptable.
*  Reviews existing migration tools and provides recommendations for improving efficiency of data migration processes. Defines, documents and enhances data migration templates, procedures and tools.
*  Develop standalone applications for data visualization and analysis, enabling better data accessibility and insights for research teams.
*  Collaborate with data scientists and statisticians to understand their data requirements and build systems that streamline data workflow and support advanced analytics.
*  Ensure data integrity, security, and compliance with healthcare regulations in all data operations and applications.
*  Stay updated with the latest technologies in data engineering, analytics, and data governance, evaluate new tools and techniques, and propose innovative solutions to enhance data systems, processes, and governance practices.
*  Documentation and Knowledge Sharing: Maintain comprehensive documentation of data solutions, processes, best practices, and actively share knowledge with the team.
*  Teamwork: work as a part of a dynamic team of biomedical researchers, database designers, data scientists, statistician, software developers, and clinical data experts in existing research projects to support the data pipeline, database management, and creation of new tools.

 Want to help get your resume to the top?  Take a look at the experience we require:

Qualifications:

* Bachelor or higher degree in Computer Science, Electrical Engineering, Biomedical Engineering, Data Science, or a related field.
*  5 years of relevant experience in data engineering, with a solid foundation in using cloud services and application development.
*  Minimum of 2 years of experience in clinical or healthcare domain, with specific experience handling electronic health record data and clinical data registries.
*  Proficient in programming languages including Python, Java, and Scala.
*  Experience with data technologies like Spark; familiarity with data visualization tools.
*  Proficiency in SQL, database management systems (PostgreSQL, MySQL).
*  Demonstrated ability to manage codebases using version control systems (e.g., GitHub) and track project workflows using Jira.
*  Strong understanding of handling large-scale, complex datasets in healthcare settings, particularly with electronic health record and clinical data registries.
*  Knowledge of techniques and computing framework such as AI, and machine learning.
*  Excellent communication and teamwork skills
*  Highly effective organizational skills, time management, responsibility, and motivation.

Preferred Experience: 

*  Fundamental understanding of all AWS services and interconnectivity of these services. Experience with other cloud providers is acceptable.
*  Experience in cardiovascular data analysis.
*  Experience working in a healthcare or research environment.
			

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