Position Summary

The Data Engineer will provide guidance on the ingestion, storage, processing, analysis, and visualization of healthcare data such as HL7v2, FHIR, and DICOM data on the AWS Cloud Platform. This includes data migrations and transformational projects. The Data Engineer will work with a multidisciplinary team to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues.

Position Responsibilities:

• Effectively apply both business knowledge and technical expertise to design, develop and implement BI solutions, databases, data warehouses, data marts, interfaces, custom programming, complex reports, analysis, analysis, and web-related applications.
• Design databases for large research datasets.
• Produce data sets, critical and highly complex reports, and analytics across a variety of subject matter.
• Responsible for expanding and optimizing data and data pipelines.
• Responsible for producing exemplary quality & scalable code and delivering features on-time.
• Design for operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions
• Follow development cycle procedures to maintain code base and build artifacts.
• Create and maintain technical documentation.
• Understand business needs and translate into data solutions for departments and the enterprise.
• Protect assets and the integrity, security and privacy of information entrusted to or maintained by the organization.
• Model CyncHealth’s values and Code of Conduct.
• Other duties as assigned.

Experience and Requirements

• Bachelor’s degree in Informatics, Computer Science, Statistics, or a related discipline required, Master’s degree preferred
• AWS Data Engineer, AWS Developer or AWS Big Data Specialty certification preferred
• At least 2 years of experience working with healthcare data and data processing, specifically medical, pharmacy and claims data
• Advanced skill in the principles of data management including logical and physical data modeling, relational database design, and design and development of system-wide metadata
• Ability to take a problem, requirement, or strategy; research solutions and take from concept to implementation for desired outcomes
• Understanding of API ecosystems and experiences with designing, developing, and deploying RESTful API.
• Expertise in several of the following: Python, GO, R, SQL, git, and Hadoop/Spark in a distributed Unix environment, AWS
• Ability to design and implement complex data management systems
• Experience with biomedical standards and terminologies for metadata management and data integration.
• Advanced working SQL knowledge and experience working with relational databases, query authoring as well as working familiarity with a variety of databases and file format
• Experience with HL7 is preferred
• Understands Kafka/Rabbit MQ
• Experience with message queuing, stream processing is a plus
• Experience performing root cause analysis on internal and external data and processes
• Development experience with MySQL, Redshift, MSSQL Server
• Strong industry experience in programming languages such as Python, C# or Java, with the ability to pick up new languages and technologies quickly; understanding of cloud and distributed systems principles and experience with large-scale, big data method
• Experience with Agile development and Scrum.

Expectations:

• Hours are generally Monday-Friday, 8:00 AM-5:00 PM CST, but may vary as necessary with possible extended working hours.
• Ability to work on a computer for extended periods of time.
• Ability to stand or sit for extended periods of time.
• Light work requiring exertion up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects.
• Ability to work with reliable and predictable attendance.

Benefits:

• Medical
• Dental
• Vision
• Paid Time Off/Paid Holidays
• Long & Short Term Disability
• Life Insurance
• 401(K) with 4% Matching
• Maternity/Paternity Leave
• Pet Insurance

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. The statements are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for this position.

Must be authorized to work in the United States.