IT Associate - Data Engineering

Capital Health (US)•Hopewell, NJ

2d•Onsite

About The Position

Capital Health is the region's leader in providing progressive, quality patient care with significant investments in our exceptional physicians, nurses and staff, as well as advanced technology. Capital Health is a dynamic health care resource accredited by the DNV that includes two hospitals, an outpatient center, satellite ED, and an expansive network of primary and specialty care. Capital Health Medical Group is made up of more than 600 physicians and other providers who offer primary and specialty care, as well as hospital-based services, to patients throughout the region. Capital Health recognizes that attracting the best talent is key to our strategy and success as an organization. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we can attract the best candidates. The listed pay range or pay rate reflects compensation for a full-time equivalent (1.0 FTE) position. Actual compensation may differ depending on assigned hours and position status (e.g., part-time).

Requirements

Bachelor's degree in Information Technology, Computer Science, or a related field.
Experience in software development, data engineering, or related field preferred.
Basic understanding of software development lifecycle (SDLC).
Foundational knowledge of data concepts and data management.
Strong problem-solving and analytical skills.
Ability to learn quickly and adapt in a fast-paced environment.
Effective communication and teamwork skills.

Nice To Haves

Training in various programming languages, data engineering concepts preferred.

Responsibilities

Assists in developing, testing, and maintaining software applications and system enhancements.
Writes clean, maintainable code under guidance of senior engineers.
Participates in debugging, troubleshooting, and resolving application issues.
Supports system integrations and API development.
Assists in building and maintaining data pipelines and data integration processes.
Supports data extraction, transformation, and loading (ETL) activities.
Validates and ensures accuracy and integrity of data.
Assists in development of reports, dashboards, and data solutions.
Collaborates with product owners and stakeholders to understand business requirements.
Supports implementation of new features and system improvements.
Participates in testing, documentation, and release activities.
Works closely with software engineers, data engineers, and IT teams.
Continuously develops technical skills and knowledge of tools and technologies.