About InVita Healthcare Technologies
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 invitahealth.com.

Job Title: Manager of Data Engineering

Department:  Development

Reporting to: VP of Program Management and Integration Services

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

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

Compensation: $140,000 - $160,000 annually.

Who we are:

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).

Overview:

The Manager of Data Engineering is responsible for leading a team of data engineers to build and optimize data pipelines, design scalable systems for data storage and processing, and ensure data-driven decision-making across the organization. This strategic role encompasses project management, team leadership, client-facing technical consultation and close collaboration with other departments to fulfill the company’s data needs and business goals.

Essential Functions:

• Team Leadership: Manage and mentor data engineers, setting clear goals and expectations, and fostering a collaborative and innovative work environment.
• Strategic Project Management: Oversee the planning, execution, and success of complex data engineering projects. Collaborate with cross-departmental team members to understand their data requirements and deliver timely solutions.
• Hands-on Technical Oversight: Ensure the architecture and ongoing health of data pipelines, databases, and storage solutions, maintaining data integrity, scalability, efficiency, and availability.
• Agentic Workflows & ETL Automation: Spearhead the integration of AI agents and LLM-driven workflows to automate complex data investigation, mapping, and ETL processes, optimizing how unstructured and structured data is ingested.
• Client-Facing Data Strategy: Act as a technical liaison, directly engaging with clients to investigate their data architecture and address data migration or integration concerns. Translate client needs into precise, actionable technical requirements and ensure clear communication of deliverables throughout the project lifecycle.]

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s preferred.
• At least 5 years of proven experience in data engineering, including a minimum of 2 years in a leadership role.
• Expertise in database technologies (e.g., MySQL, PostgreSQL, SQL Server) and familiarity with cloud data platforms (AWS, Azure, Google Cloud). Experience with computer programming, particularly in PHP, is preferred.
• Strong experience with data modeling, data warehousing, and ETL processes.
• Hands-on experience deploying and orchestrating agentic workflows (e.g., utilizing LLMs, specialized agents, or similar frameworks) for automated data investigation, extraction, and transformation.
• Demonstrated ability to lead, inspire, and mentor a team of technical professionals.
• Proven customer-facing experience with excellent communication and interpersonal skills; highly capable of investigating client environments and articulating complex data-related concepts to both technical and non-technical external stakeholders.

This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employee(s) will be required to follow any other job-related instructions and perform any other job-related duties requested by any person authorized to give instructions or assignments.

This document does not create an employment contract, implied or otherwise, other than an "at-will" relationship. 

InVita provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.