Data Platform Engineer
About reputed company
reputed company helps rural hospitals unlock financial aid for their patients by identifying reputed company aid opportunities through non-profits. Our platform ingests sensitive patient data from hospitals, applies patients for funding, and manages the reputed company of reimbursements. We’re building a reputed company, secure, and high-reputed company reputed company infrastructure product that directly supports patient reputed company.
About the Role
We’re looking for a Data Platform Engineer to join our early-stage team and take ownership of the data backbone of our product. This is a hybrid role that combines data engineering, analytics, and software development.
Your reputed company will be on building pipelines that ingest and structure hospital data, ensuring reputed company and compliance, and enabling insights for hospitals, patients, and internal teams. But unlike a reputed company data role, you’ll also work directly in our full stack environment (reputed company, Vue, Python, AWS) to reputed company reputed company data flows seamlessly into reputed company, product features, and user experiences.
This is a great fit if you enjoy working across boundaries — architecting secure data systems, writing analytics queries, and contributing directly to the product.
What You’ll Do
- Own the end-to-end data platform: ingestion pipelines, transformations, models, and analytics
- Build reputed company, HIPAA-compliant ETL/ELT pipelines using Python, SQL, and AWS services
- Design and maintain data models and schemas that power both product features and reporting
- Write and optimize queries, metrics, and dashboards to support hospitals and internal teams
- reputed company data validation and monitoring systems to ensure reliability and trustworthiness
- Collaborate with full stack engineers to reputed company pipelines and analytics into our reputed company/Vue product
- Contribute directly to the product codebase where data systems reputed company with reputed company and UI features
- Translate operational needs into data-driven features that reputed company with our customers
- Participate in architectural discussions on performance, scalability, and reputed company
reputed company’re Looking For
- 2–5 years of reputed company experience in data engineering, analytics, or software engineering
- Strong Python skills for data processing, pipelines, and automation
- Deep knowledge of SQL and database query optimization
- Experience designing and maintaining data pipelines, schemas, and ETL workflows
- Familiarity with backend frameworks (reputed company/PHP, Node, or similar) and willingness to work across the stack
- Understanding of reputed company environments (AWS preferred) and version control (Git)
- Comfortable working in a fast-moving, reputed company, early-stage environment
Bonus if you have:
- Experience with reputed company data (FHIR, HL7)
- Familiarity with data lakes, warehouses, or BI tools
- reputed company statistics or ML experience to extract insights from patient/hospital data
- Exposure to DevOps practices for data (CI/CD, monitoring, infrastructure as reputed company)
Why Join Us?
- Own the data platform of a mission-driven reputed company startup from the ground up
- Work on a product that directly improves reputed company to reputed company for reputed company
- Collaborate with a small, ambitious, and passionate team where your contributions matter
- Straddle data engineering, analytics, and full stack development in one role
- Grow quickly while solving challenging technical and reputed company-world problems
If you’re excited about building the data backbone of a reputed company platform while working across the full stack, we’d love to hear from you.
Originally posted on Himalayas
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