Job Title: Contract-to-Hire Full-Stack Data Engineer (Healthcare Claims + NBA Logic) Location: Hybrid (Mt. Laurel, NJ). Remote (U.S. Based) considered. Type: Contract-to-Hire Initial Term: 16–20 weeks Weekly Hours: 20–40 hours/week Conversion Target: Full-time offer based on performance and long-term organizational alignment, evaluated at 120 days About Us We’re a fast-growing, mission-driven organization that helps people navigate some of the most complex systems in their lives — from healthcare benefits to service delivery experiences that actually work. Our teams thrive at the intersection of people, process, and technology, where doing the right thing for the end user also means operating with precision, scale, and empathy. We're building smarter systems that power meaningful human touchpoints. That means modern platforms, data you can trust, and technology that gets out of the way — even when the challenges are complex, regulated, and high-stakes. If you're energized by solving real-world problems with measurable impact, and want to be part of a team that’s serious about execution without taking itself too seriously — you'll fit right in. What You’ll Do Phase 1 (Contract Period): Stand up a secure, automated ingestion pipeline for 837 files and Pre-auth files from payers Build or adapt parsing logic to convert files into structured formats (JSON, Parquet, tabular) Normalize claims and prior auth data into usable entities: claims, procedures, diagnosis, member, provider Implement basic validation and logging for auditability (HITRUST compliant) Implement basic Next Best Action logic (e.g., flags for gaps in care, frequent ER visits, CPT and ICD-10 codes) Design output hooks for Salesforce integration (API-ready, CSV-ready, or via Boomi) Document pipeline, schema, and architectural decisions Phase 2 (Post-Conversion Path, if applicable): Own and evolve our internal claims data platform Optimize data model, implement dbt or similar transformations Extend logic to support analytics dashboards, reporting, or ML triggers Build out ingestion for additional sources (NCPDP, 820, provider directories) Collaborate with internal tech leaders to harden the platform for scale and compliance You Should Have Strong experience with 837 (X12 EDI) parsing and transformation Strong understanding of healthcare data Proven ability to ingest structured files via SFTP ? Blob/S3 ? parser Experience building pipelines in Python (or similar language) Familiarity with dbt, Airflow, or Azure Data Factory Knowledge of SQL-based warehousing (Snowflake, Synapse, Redshift, or BigQuery) Experience integrating with Salesforce (or other downstream systems) HIPAA-aware development practices; HITRUST experience a plus Comfortable operating as a one-person data team in a lean environment What We Offer Fast decision cycles, direct access to senior tech and exec stakeholders Autonomy to propose and implement architecture that aligns with the broader technical strategy. We welcome strong opinions but expect alignment with the direction we’re building toward. Clear path to full-time role if mutual fit is established (with comp package aligned to experience and impact) Opportunity to define a critical internal platform from the ground up LaborFirst is committed to regulatory excellence and operational integrity. We have attained HITRUST r2 certification for our Box and Salesforce platforms and hold full URAC Core Accreditation. With headquarters in Mount Laurel, NJ, and our LaborFirst West facility in Scottsdale, AZ, our award-winning team and services have earned national recognition. We consistently achieve world-class Net Promoter Scores (NPS), have been named on the Philadelphia Business Journal’s Best Places to Work list, and have received multiple industry accolades, including a 2024 and 2025 Gold Stevie Award for Front-Line Customer Service Team of the Year. Connect with us at LaborFirst.com. Competitive salary Comprehensive benefits package 401k contribution Generous vacation time Opportunity to grow Fastest 50 Growing Companies in NJ Must be excluded from OIG/SAM All qualified applicants will receive consideration for employment without regard to race, age, color, ancestry, national origin, place of birth, religion, sex, sexual orientation, gender identity and expression, military or veteran status, genetic characteristics, or disability unrelated to job performance.