Healthcare Data and Analytics Specialist - Remote - USA

Remote Jobs; Harrisburg (Dauphin County); A distancia; USD 110.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive Salary

Paid Time Off

100% remote work

401(k) with match

Career advancement opportunities

Continuing education opportunities

Health, dental, and vision insurance

Descripción de la vacante

FullStack is seeking a Healthcare Data and Analytics Specialist to join our team. You will work with clients in a team augmentation or design & build capacity to deliver data-driven healthcare solutions.

You should have 5+ years in software/data roles, strong SQL, and deep healthcare data experience, including claims and PHI regulations. This is a 100% remote position with opportunities to work on large, complex systems and Agile teams.

Formación

• 5+ years of professional software engineering, data analysis, or data operations experience.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Deep experience with healthcare data including medical/pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
• Expertise in using SQL to join datasets, investigate discrepancies, and create maintainable analytical logic.
• Knowledge of HIPAA, PHI regulations, and healthcare data security controls.
• Experience with data validation, reconciliation, data quality monitoring, and data operations workflows.
• Experience with CI/CD for applications.
• Agile/Scrum experience.
• Experience on large, complex systems.

Responsabilidades

• Work directly with client teams as part of team augmentation or design & build on FullStack products.
• Analyze healthcare data including claims and eligibility to derive insights.
• Create recurring analytical reports, data dictionaries, and metric definitions for clients or executives.
• Investigate data issues and trace discrepancies through stages of the data ecosystem.
• Collaborate with designers and engineers to deliver data-driven solutions.
• Support CI/CD pipelines and contribute to libraries as needed.

Conocimientos

Advanced English

SQL proficiency

Healthcare data analysis

Data validation

Data operations workflows

Agile/Scrum

Ownership & accountability

Relational databases

Educación

Bachelor's degree

Herramientas

PostgreSQL

SQL

SFTP/APIs

Descripción del empleo

About FullStack

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

We're most proud of:

• Offering life-changing career opportunities to talented software professionals across the Americas.
• Building highly-skilled software development teams for hundreds of the world's greatest companies.
• Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
• Our 4.1-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.

The Position

We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:

• Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
• Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For

• 5+ years of professional software engineering, data analysis, or data operations experience.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
• Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
• Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
• Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
• Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
• Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
• Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
• Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile/Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer

• Competitive Salary.
• Paid Time Off (vacation, sick leave. parental leave, and holidays).
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Health, dental, and vision insurance.
• 401(k) w/ 4% match.
• Ample opportunity for career advancement.
• Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

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