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$140k–$160k/yr
Full-time
bachelor degree, postgraduate degree
Posted 1d ago
~40 hrs/week
Responsibilities
Lead a team of data engineers to build and optimize scalable data pipelines and storage systems. Act as a technical liaison for clients to manage data migration and integrate AI-driven agentic workflows.
Requirements
Requires a Bachelor's degree in Computer Science or a related field with at least 5 years of data engineering experience, including 2 years in leadership. Must have expertise in SQL databases, cloud platforms, and the deployment of LLM-based automated workflows.
Full job description
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.
Related keywords
Data EngineeringETLLLMAI AgentsMySQLPostgreSQLSQL ServerAWSAzureGoogle CloudPHPData ModelingData WarehousingData PipelinesMedical SoftwarePublic Health
Specialized Software for regulated industries supporting the advancement of public health and safety.
Industry
Technology, Information and Internet
Company size
51-200 employees
Headquarters
Baltimore, MD
LinkedIn followers
6,988
InVita develops specialized software for regulated industries supporting the advancement of public health and safety. We understand the urgent nature of our customers’ missions. Whether it's saving lives, keeping communities safe, or improving the quality of life, our technology improves operations and outcomes, enabling our customers to excel within their organization, servicing Hospitals and Health Systems, Blood & Plasma Centers, Organ, Eye, and Tissue Donation Organizations, and Forensic Laboratories.
Our software solutions are highly configurable, with built-in compliance safeguards that streamline processes and enable quick and efficient information exchange, aligning everyone to an organization’s needs, goals, and strategies. InVita’s innovative drive, coupled with our long-standing partnerships and deep domain expertise, synergize to advance our customers missions, all united by the same purpose: to ensure our customer’s success.
Our divisions offer solutions in regulated industries to improve operations and outcomes, ultimately advancing an organization’s mission for safer, healthier communities.
• Implant & Explant lifecycle management solutions
• Blood & Plasma management solutions
• DNA & Forensic sample management solutions
• Donation-Transplant management solutions
With InVita you get comprehensive technology solutions that increase compliance, strengthen your bottom line and improve patient safety.
Offices: 180 West Ostend Street, Suite 267A, Baltimore, MD 21230, US · 12121 Wilshire Blvd, Suite 1005, Los Angeles, California 90025, US
How much do Data & Analytics jobs in Baltimore, MD pay?
Based on 124 listings with disclosed salaries, most data & analytics jobs in Baltimore, MD pay between $46k–$160k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Baltimore, MD right now?
There are currently 146 open data & analytics positions in Baltimore, MD listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Baltimore, MD?
Companies currently hiring include John Hopkins University, University System of Maryland, T. Rowe Price, Mercy Medical Center, Baltimore, MD, Aligned Technology, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Baltimore, MD?
Yes — 87 of the 146 open data & analytics positions offer remote or hybrid work (23 remote, 64 hybrid).
How do I apply for Data & Analytics jobs in Baltimore, MD?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.