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).
Pay Range:
$68,577.60 - $89,585.60Scheduled Weekly Hours:
40Position Overview
SUMMARY:
The Associate Software & Data Engineer is an entry-level role responsible for supporting the design, development, and maintenance of software applications and data solutions. This position works under the guidance of senior engineers to contribute to application development, data integration, and product enhancements. Provides exposure to both software engineering and data engineering practices, enabling the development of foundational technical skills while supporting business and technology initiatives. This role is designed as a feeder position into Software Engineer, Data Engineer, Data Analyst / Analytics Engineer.
Education: Bachelor's degree in Information Technology, Computer Science, or a related field.
Experience: Experience in software development, data engineering, or related field preferred.
Knowledge and Skills: 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
Special Training: Training in various programming languages, data engineering concepts preferred. On-the-job training will be provided to familiarize with specific systems and processes.
Usual Work Day: Exempt Hours
PHYSICAL DEMANDS AND WORK ENVIRONMENT:
This position is eligible for the following benefits:
Medical Plan
Prescription drug coverage & In-House Employee Pharmacy
Dental Plan
Vision Plan
Flexible Spending Account (FSA)
- Healthcare FSA
- Dependent Care FSA
Retirement Savings and Investment Plan
Basic Group Term Life and Accidental Death & Dismemberment (AD&D) Insurance
Supplemental Group Term Life & Accidental Death & Dismemberment Insurance
Disability Benefits – Long Term Disability (LTD)
Disability Benefits – Short Term Disability (STD)
Employee Assistance Program
Commuter Transit
Commuter Parking
Supplemental Life Insurance
- Voluntary Life Spouse
- Voluntary Life Employee
- Voluntary Life Child
Voluntary Legal Services
Voluntary Accident, Critical Illness and Hospital Indemnity Insurance
Voluntary Identity Theft Insurance
Voluntary Pet Insurance
Paid Time-Off Program
The pay range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining base salary and/or rate, several factors may be considered including, but not limited to location, years of relevant experience, education, credentials, negotiated contracts, budget, market data, and internal equity. Bonus and/or incentive eligibility are determined by role and level.
The salary applies specifically to the position being advertised and does not include potential bonuses, incentive compensation, differential pay or other forms of compensation, compensation allowance, or benefits health or welfare. Actual total compensation may vary based on factors such as experience, skills, qualifications, and other relevant criteria.