Data Engineer I IS - Remote

About Our Client

The organization operates within the healthcare sector, focusing on delivering patient-centered, whole-person care. It provides a comprehensive range of health and social services across multiple states including Alaska, California, Montana, New Mexico, Oregon, Texas, and Washington. The organization supports over 120,000 employees serving in more than 50 hospitals and 1,000 clinics. It aims to address the challenges of healthcare delivery by integrating modern health services with a commitment to underserved and vulnerable populations.

About the Opportunity

The Data Engineer I is responsible for designing and building data-centric software applications that support clinical and operational functions within the healthcare system. This role focuses on creating data pipelines, transformations, and interfaces that enable key initiatives. The position contributes by implementing efficient, scalable data solutions and collaborating with multiple technical teams to ensure the delivery of impactful data services.

Responsibilities

* Application Development: Design and build data-centric software applications tailored to support complex healthcare processes and clinical workflows.

* Pipeline Engineering: Develop, test, and optimize automated data pipelines, data transformations, and data enrichment processes.

* Data Access Provisioning: Create accessible data provisioning layers and functional user interfaces aligned with specific project requirements.

* Modern Infrastructure: Employ cloud computing infrastructure, big data technologies, and modern software development methodologies to manage information efficiently.

* Strategic Collaboration: Collaborate closely with internal Product, Platform, and Architecture teams to align data assets with enterprise goals.

* Code Governance: Maintain meticulous version control using modern source control tools and produce clean technical documentation.

* Problem Solving: Seek simple, lean, and highly effective software solutions to solve complex data ingestion and processing problems.

Requirements

* Technical Experience: At least 1 year of relevant professional experience working across AI/ML workflows, data pipeline development, cloud computing environments, or large big data stores.

* Educational Background: Bachelor’s Degree in Computer Engineering, Computer Science, Mathematics, Engineering, or equivalent practical experience. A Master’s Degree in a related quantitative field is preferred.

* Core Competencies: Foundational knowledge of relational and non-relational databases, data architecture design patterns, and distributed computing frameworks.

* Collaboration Skills: Strong communication skills with an ability to work cross-functionally alongside engineers, product managers, and architectural stakeholders.

Compensation & Benefits

Compensation

* Hourly Wage Scale: Base pay ranges vary significantly by geographic location, with minimums from approximately $34.43 to $52.79 per hour, and maximums stretching from approximately $53.44 to $81.94 per hour.

* Wage Determination: Exact placement on the regional wage range depends entirely on individual experience, qualifications, and localized market factors.

* Additional Incentives: Total compensation packages may also include applicable shift differentials, on-call pay, overtime premiums, performance incentives, or corporate bonuses.

Benefits & Perks

* Health & Welfare: Comprehensive healthcare benefits packages including medical, dental, and vision insurance alongside corporate life and disability insurance.

* Retirement Planning: Retirement 401(k) Savings Plan complete with a corporate employer matching program.

* Paid Leave: Generous paid parental leave, accrued vacations, recognized company holidays, and dedicated health-related time off.

* Well-being: Access to voluntary supplemental benefits and a suite of dedicated employee well-being resources.

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

About RemoteHunter

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.