Data Engineer II

InVita Healthcare Technologies is a leading software provider for complex medical, forensics, and community care environments. We build specialized, highly configurable, and integrated systems that support hospitals, blood centers, donation organizations, public health labs, and forensic labs. InVita is the clear leader in the blood, implant, organ procurement, DNA, and Forensic software markets. Our software solutions have built-in compliance safeguards that streamline processes and enable quick and efficient information exchange with better decision making.

For more information about our software solutions, please visit

Development

Manager of Data Engineering

Baltimore, MD. This is a hybrid role with 3-days per week required to be worked in the Baltimore, MD office.

Typical hours of work are from 8:30 AM until 5:30 PM local time Monday through Friday. Additional hours may be necessary as needed. This position is exempt from overtime.

$100,000 - $120,000 annually.

InVita develops specialized medical software for regulated industries that support the advancement of public health and safety. We are the acknowledged leader in the markets we serve. Our subject matter expertise is unmatched in the industry, and our products are used by public health and medical professionals across the globe. We have employees spanning across the US and two main offices (Baltimore & Los Angeles).

The Data Engineer II is a highly technical, client-facing role responsible for supporting the implementation, integration, and configuration of data solutions while serving as a trusted technical resource for internal and external technical and non-technical partners. This role requires strong communication and problem-solving skills, with the ability to explain complex technical concepts, navigate challenges, and develop effective solutions while working closely with clients and cross-functional teams.

• Client Partnership:
  Serve as primary technical point of contact for assigned clients, developing strong working relationships and building trust throughout the engagement.
• Technical Consultation:
  Work directly with clients to understand their technical needs, data requirements, workflows, and challenges, and translate those needs into practical technical solutions.
• Client Engagement:
  Build strong, trusted working relationships with client technical and non-technical stakeholders across the full client lifecycle, and clearly explain technical concepts, data processes, system functionality, and proposed solutions.
• Professional Services:
  Work directly with clients to understand their data requirements, workflows, and challenges, and deliver practical technical solutions such as data migrations, integrations, and configuration.
• Database Design & Management:
  Develop and maintain databases, data warehouses, and other data storage solutions, ensuring they meet the company and client’s data needs and business goals.
• Data Pipeline and ETL/ELT Processes:
  Design, build and deploy robust ETL/ELT pipelines and staging transformations to migrate and synchronize datasets with target schemas.
• Data Quality & Governance:
  Ensure high data quality and availability by implementing appropriate monitoring, testing, and validation techniques.
• Collaboration:
  
  Work closely with data integration engineers, business analysts, and software engineers to understand their data requirements and provide timely solutions.
• Data Security & Compliance:
  Ensure that all data solutions comply with data security, privacy, and regulatory requirements (e.g., GDPR, HIPAA).
• Performance Optimization:
  Continuously monitor the performance of…