Jobgether
Data Engineer/ Data Project Lead
TLDR
Lead design and optimization of financial transaction systems across the claims lifecycle, delivering auditable, scalable backend services and APIs.
Accountabilities:
- Lead the design, development, and optimization of financial transaction systems ensuring accuracy, traceability, and auditability across the full lifecycle of claims-related payments and operations.
- Build and enhance scalable backend services, APIs, and data models supporting transaction processing, reporting, and system integrations.
- Improve system performance and reliability across distributed infrastructure, identifying bottlenecks and implementing long-term technical solutions.
- Collaborate with product managers, designers, and engineers to translate business and financial requirements into robust technical implementations.
- Contribute to architectural decisions, code quality standards, and continuous improvements across the engineering stack in an Agile environment.
- Support ongoing platform evolution by enhancing configurability, monitoring system health, and proactively addressing operational risks.
- 5+ years of full-stack or backend software engineering experience in production environments.
- Strong experience designing APIs, relational database schemas, and performant SQL queries.
- Proficiency with modern web technologies, ideally including React and backend frameworks such as Ruby on Rails.
- Deep understanding of system scalability, distributed architecture, and server-side performance optimization.
- Experience working with data-intensive or financial systems requiring high levels of accuracy, consistency, and auditability.
- Strong analytical and problem-solving skills with the ability to manage multiple priorities in fast-paced Agile environments.
- Excellent communication and collaboration skills, with experience working cross-functionally in technical teams.
- Competitive base salary range of $135,000 – $165,000 (based on experience, skills, and location)
- Comprehensive medical, dental, and vision insurance options
- HSA contributions for eligible health plans
- 401(k) with company match
- Paid time off and company-observed holidays
- Short-term and long-term disability coverage
- Life insurance and additional voluntary benefit options
- Employee assistance and wellness programs
- Flexible remote work environment with career development opportunities
- Learning support, mentorship, and internal growth pathways
Requirements:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Health Insurance
HSA contributions for eligible health plans
Learning Budget
Learning support, mentorship, and internal growth pathways
Employee assistance and wellness programs
Paid Time Off
Short-term and long-term disability coverage
Remote-Friendly
Flexible remote work environment with career development opportunities
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Data Engineer