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Manager of Data Engineering

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Invita Healthcare Technologies
Full Time, Part Time position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 160000 USD Yearly USD 140000.00 160000.00 YEAR
Job Description & How to Apply Below

Manager of Data Engineering

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 for better decision making.

Job Title: Manager of Data Engineering

Department: Development

Reporting to: VP of Program Management and Integration Services

Location: Baltimore, MD (hybrid: 3 days per week in office)

Hours of work: Monday–Friday 8:30 AM–5:30 PM local time. Additional hours may be required as needed. Position is exempt from overtime.

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

Overview

The Manager of Data Engineering leads a team of data engineers to design and optimize data pipelines, build scalable systems for data storage and processing, and ensure data‑driven decision‑making across the organization. The role encompasses project management, team leadership, client‑facing technical consultation, and cross‑department collaboration to fulfill data needs and business goals.

Essential Functions
  • Team Leadership: Manage and mentor data engineers, set goals and expectations, and foster a collaborative and innovative work environment.
  • Strategic Project Management: Oversee planning, execution, and success of complex data engineering projects; collaborate with cross‑department teams to understand 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 integration of AI agents and LLM‑driven workflows to automate complex data investigation, mapping, and ETL processes, optimizing ingestion of unstructured and structured data.
  • Client‑Facing Data Strategy: Act as a technical liaison with clients to investigate data architecture, address migration or integration concerns, translate client needs into actionable technical requirements, and communicate deliverables throughout the project lifecycle.
Required Qualifications
  • Bachelor’s degree in Computer Science, Information Technology, or related field;
    Master’s preferred.
  • At least 5 years of proven experience in data engineering, with a minimum of 2 years in a leadership role.
  • Expertise in database technologies (MySQL, Postgre

    SQL, SQL Server) and familiarity with cloud data platforms (AWS, Azure, Google Cloud); experience with 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) for automated data investigation, extraction, and transformation.
  • Demonstrated ability to lead, inspire, and mentor a technical team.
  • Proven customer‑facing experience with excellent communication and interpersonal skills; ability to articulate complex data concepts to technical and non‑technical stakeholders.
Equal Employment Opportunity Statement

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.

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

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