Senior Data Engineer

InVita Healthcare Technologies • Full-time • Baltimore, Maryland, United States • $100k - $105k / year • 1m ago

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.

Overview:
A Senior Data Engineer is responsible for building and optimizing our data pipelines, as well as designing and maintaining scalable systems for data storage and processing. This role will collaborate closely with product leaders, software engineers, and integration teams to ensure the effective flow and accessibility of data, enabling data-driven decision-making across the organization.

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

Essential Functions:

Data Pipeline Development: Design, build, and maintain scalable, efficient, and robust data pipelines to support the processing of large volumes of data.
Data Integration: Integrate data from a variety of data sources (e.g., relational databases, APIs, third-party datasets) into a unified and accessible format.
Database Design & Management: Develop and maintain databases, data warehouses, and other data storage solutions, ensuring they meet the company’s data needs and business goals.
ETL/ELT Processes: Implement and manage Extract, Transform, Load (ETL/ELT) processes to ensure the accurate and efficient movement of data between systems.
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.
Automation: Automate manual data processes and workflows to improve efficiency and reduce errors.
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 data systems and make

improvements to increase efficiency and scalability.

Required Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or a related field.
Proven experience (3+ years) as a Data Architect, Data Engineer, or in a similar role.
Proficiency in database technologies (e.g., MySQL, PostgreSQL, SQL Server).
Strong experience with data modeling, data warehousing, and ETL/ELT processes.
Familiarity with cloud data platforms (AWS, Azure, Google Cloud)
Knowledge of data governance frameworks and data quality best practices.
Strong problem-solving skills and the ability to translate business needs into data architecture solutions.
Excellent communication and interpersonal skills.

Physical Demands and Work Environment:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

While performing the duties of this position, prolonged periods of sitting at a desk and working on a computer may be required.
Additionally, the employee is regularly required to talk or hear.
The employee frequently is required to use hands or fingers, handle, or feel objects, tools, or controls.
The employee is occasionally required to stand, walk, sit; reach with hands and arms; climb or balance; and stoop, kneel, crouch, or crawl.
The employee must occasionally lift and/or move up to 15 pounds.
Specific vision abilities required by this position include close vision, distance vision, color vision, peripheral vision, and the ability to adjust focus.
The noise level in the work environment is usually moderate.

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.

Reporting to: Manager of Data Engineering

Hours of work: 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.

The pay range for this role is:
100,000 - 105,000 USD per year(Maryland)