Senior Data Engineer
First seen by Alion on Sep 9, 2026.
HealthRecon Connect provides technology-enabled Revenue Cycle Management solutions to US healthcare providers. The company leverages over 30 years of deep domain expertise, machine learning, AI, cutting-edge analytics, and automated workflows that help improve cash flow, patient outcomes and enable peace of mind for their clients. At HealthRecon Connect, day after day, we not only hold ourselves accountable for setting and maintaining high standards, but we also passionately strive for the highest achievement, customer delight and thrive on the challenge of high expectations and commitment to excel.
HealthRecon was certified a Great Workplace by Great Place to Work® Sri Lanka since 2018 and was adjudged one of the 40 Best Workplaces in Sri Lanka by Great Place to Work® Sri Lanka in 2021. We are also a participant of the United Nations Global Compact.
HRC Labs was established to lead the technological transformation of HealthRecon Connect (HRC). Propelled by the deep domain expertise and industry leading service capability of HRC, HRC Labs focus on enhancing the efficiency of healthcare delivery through intelligent automation solutions for healthcare providers. Our tools sustainably improve clients’ operating margins and cash flows by compressing their working capital cycle and reducing their administrative burden.
We are currently looking for a Senior Data Engineer to join HRC focused on Revenue Cycle Management (RCM) technology automations and solutions.
Due to the large volume of applications we receive, all applications will be reviewed in the order in which they were received and only the candidates short-listed for the first round of interviews will be contacted. Thank you for your understanding.
Job Vacancy:Senior Data Engineer
Work Week:Monday to Friday
Shift Window:03:00 PM – 12:00 AM SLST (Straddle Shift)
Important: HealthRecon Connect currently operates under a hybrid work arrangement, with the number of remote workdays varying by team. However, depending on client deliverables and business needs, employees may be required to work on-site for all five weekdays.
By applying, you acknowledge and agree to be available for in-person work five days a week if required.
Other Features:
Full-timeUS calendar applicable
Responsibilities:
- Design and evolve enterprise-scale data architectures and scalable data platforms.
- Build and optimize ETL/ELT, batch, and real-time data pipelines across healthcare data sources.
- Develop data solutions supporting BI, ML, Generative AI, RAG, vector databases, and LLM applications.
- Ensure data quality, security, governance, lineage, and HIPAA compliance while leading and mentoring Data Engineers.
Qualifications/Criteria:
- 6+ years of experience in Data Engineering, Data Platforms, or Data Architecture, with 3+ years of US healthcare data experience.
- Strong expertise in SQL, Python, data modeling, ETL/ELT, relational databases, data warehouses/lakehouses, and cloud platforms.
- Strong understanding of batch/streaming processing, data governance, security, data quality, and AI/ML data engineering.
- Bachelor’s degree in Computer Science, IT, Software Engineering, Data Science, or a related field; experience with relevant data and cloud technologies is preferred.