What are the responsibilities and job description for the Software/Data Engineer position at Medical Engineering Consultants (MEC)?
Medical Engineering Consultants (MEC) support medical device and pharmaceutical companies to be more efficient and productive by providing resources, knowledge, and expertise to augment and supplement to their work. Our vision is to closely align our clients’ needs with the best resources available in the marketplace. We take proactive, preventative, and corrective action and create a roadmap for ongoing future improvement by identifying, integrating, and executing sustainable solutions that validate processes, ensure fully compliant quality systems, and close gaps between current and FDA expected stages.
MEC offers companies short or long-term support — from high-end leaders, managers and consultants to skill-set Engineering staff and SME’s (Subject Matter Experts).
MEC's mission is to inspire positive cultural change from within, and always exceed our clients’ expectations.
Hybrid
About The Role
The Sr. Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
Key Responsibilities
AAP/EEO DFWP
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
MEC offers companies short or long-term support — from high-end leaders, managers and consultants to skill-set Engineering staff and SME’s (Subject Matter Experts).
MEC's mission is to inspire positive cultural change from within, and always exceed our clients’ expectations.
Hybrid
About The Role
The Sr. Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
Key Responsibilities
- Provides technical guidance related to data architecture, data models and meta data management to senior IT and business leaders.
- Defines and implements data flows through and around digital products.
- Participates in data modeling and testing.
- Extracts relevant data to solve analytical problems, ensure development teams have the required data.
- Interacts with the business divisions to understand all data requirements to develop business insights for CRM and translates them into data structures and data model requirements to IT.
- Works closely with database teams on topics related to data requirements, cleanliness, accuracy etc.
- Tracks analytics impact on business.
- Monitors market watch.
- Develops sustainable data driven solutions with current new gen data technologies to meet the needs of the organization and business customers.
- Builds data pipeline frameworks to automate high-volume and real-time data delivery for Hadoop and streaming data hub.
- Builds robust systems with an eye on the long-term maintenance and support of the application.
- Builds data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners.
- Transforms complex analytical models into scalable production-ready solutions.
- Continuously integrates and ships code into our own premise and cloud production environments.
- Develops applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS and NoSQL.
- Works directly with Product Managers and customers to deliver data products in a collaborative and agile environment.
- Bachelor's or Master's degree in Computer Science Engineering Bioinformatics or related field.
- 5 years of experience in data engineering
- Prefer prior experience working with regulated healthcare data e.g. HIPAA, FDA 21 CFR Part 11, Core Technical Skills
- ETL Development: Proficiency in building robust pipelines.
- Data Modeling: Strong knowledge of relational PostgreSQL, MySQL and NoSQL, MongoDB, DynamoDB, data models especially clinical or device data, schemas FHIR HL7 OMOP.
- Cloud Platforms: Experience with HIPAA-compliant cloud services.
- Programming: Strong Python and SQL skills Spark or Scala is a plus.
- APIs Integration: RESTful APIs HL7/FHIR data ingestion integration with EHRs and medical devices.
- Experience in Python, Flink, Kafka, Spark AWS, Glue AWS, EMR AWS S3, AWS Lambda, AWS ECS, Terraform
- Sponsorship is not available for this position
AAP/EEO DFWP
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
