Data Software Engineer II IS - Remote

1. About Our Client:

This organization operates in the healthcare sector, addressing the challenge of delivering patient-focused, whole-person care across a broad geographic area. It supports a large network of over 120,000 caregivers serving in more than 50 hospitals and over 1,000 clinics across multiple states including Alaska, California, Montana, New Mexico, Oregon, Texas, and Washington. The organization emphasizes a culture built on understanding, commitment, and respect, aiming to serve vulnerable populations while advancing best practices in healthcare delivery through a comprehensive range of health and social services.

2. About the Opportunity:

The Data Software Engineer II is responsible for designing and modernizing data platforms by migrating, consolidating, and refactoring enterprise data warehouses. This role develops scalable data pipelines and streaming solutions, manages large datasets in cloud environments, and ensures data accuracy, reliability, and compliance. The position plays a key role in enabling AI-powered tools, including generative AI and large language models, to deliver actionable insights that improve decision-making and operational outcomes.

This position is fully remote for candidates located in specified states and regions.

3. Responsibilities:

• Design, build, and modernize enterprise data platforms

• Develop scalable data pipelines and streaming solutions

• Work with large-scale datasets in cloud environments

• Apply best practices in data modeling, governance, and security

• Ensure data accuracy, reliability, and compliance across the data lifecycle

• Implement data validation, monitoring, and alerting frameworks

• Support and enable AI-powered tools including generative AI and LLM-based solutions

4. Requirements:

• Bachelor’s Degree in Computer Engineering, Computer Science, Mathematics, Engineering, or equivalent experience

• 2-5 years of related experience, preferably in software engineering

• Proficiency in object-oriented programming languages such as C#, Java, or Python

• Experience with source code control systems like Git

• SQL and NoSQL integration development experience

• Familiarity with agile methodologies and tools such as Azure DevOps, TFS, and Jira

• Ability to work independently and collaboratively on multi-disciplinary teams

• Experience designing and implementing mid-sized projects

Preferred:

• Experience in healthcare settings

• Strong background in data engineering, including real-time streaming architectures

• Experience with generative AI, large language models, and data-driven platforms

• Skills in modeling, processing, and optimizing large datasets in distributed or cloud environments

• Knowledge of data governance, security, and compliance best practices

5. Pay Range and Compensation Package:

• Salary ranges vary by location, with minimum and maximum hourly rates specified for each eligible area (e.g., Anchorage, California, Montana, New Mexico, Oregon, Texas, Washington). Placement within the range depends on experience and other factors. Additional compensation such as shift differentials, overtime, and bonuses may be available.

6. Benefits & Perks:

• Retirement 401(k) Savings Plan with employer matching

• Health care benefits including medical, dental, and vision insurance

• Life and disability insurance

• Paid parental leave and vacation time

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.

Note:

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.