HealthRecon Connect
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Jaipur · On-site · 5-8 Yrs · Sep 8
1 to 50 Employees · Port Melbourne, Australia
Hiring: Engineering
What employees say
+ Remote opportunity, 5 days/week, supportive seniors
− Sometimes the boundaries get distorted. Can be stressful sometimes
More reviews on the company profile.
Interview experience · Sr. Billing Analyst
In the complex world of healthcare, medical billers play a vital role in ensuring accurate billing, efficient reimbursement processes, and overall financial stability for healthcare providers. As you prepare to enter thi
Easy difficulty · Haryāna · 1 reports
More interview insightsJob description
Overview
• Own and evolve the enterprise data architecture supporting operational, analytical, and AI workloads • Design scalable data platforms for transactional databases, analytical data warehouses/lakehouses, and AI/ML data pipelines • Define data models, integration standards, metadata management, and data lifecycle strategies • Establish best practices for data engineering, archit
Responsibilities
- Own and evolve the enterprise data architecture supporting operational, analytical, and AI workloads
- Design scalable data platforms for transactional databases, analytical data warehouses/lakehouses, and AI/ML data pipelines
- Define data models, integration standards, metadata management, and data lifecycle strategies
- Establish best practices for data engineering, architecture, performance optimization, scalability, reliability, and maintainability
- Evaluate and recommend emerging technologies and architectural improvements
- Design, develop, and optimize robust ETL/ELT pipelines for structured and unstructured data
- Build reliable batch and real-time data integration pipelines from EHRs, Practice Management Systems, APIs, flat files, and third-party healthcare applications
- Develop and optimize workflows using tools such as Apache NiFi or equivalent orchestration platforms
- Ensure high data quality, integrity, consistency, lineage, and observability across all data platforms
- Support relational, NoSQL, and distributed data platforms
- Design and maintain data platforms supporting Business Intelligence, advanced analytics, and machine learning workloads
- Build data pipelines that enable AI/ML model training, feature engineering, vector databases, Retrieval-Augmented Generation (RAG), and LLM/SLM applications
- Collaborate with Data Scientists and AI Engineers to operationalize ML models and AI solutions
- Support MLOps and data versioning best practices
Qualifications
- Bachelor's degree in computer science, Software Engineering, or a related field.
- 10+ years of experience in Data Engineering, Data Platform Engineering, or Data Architecture.
- Minimum 5 years of experience working with US Healthcare data, preferably Revenue Cycle Management (RCM), Claims, EHR, or Healthcare Analytics.
- Equivalent practical experience with demonstrated technical leadership will also be considered.
- Proven experience designing enterprise-scale data architecture.
- Strong expertise in SQL and data modeling.
- Hands-on experience with relational databases (PostgreSQL, SQL Server, MySQL, Oracle) and analytical databases/warehouses.
- Strong knowledge of batch and streaming data processing.
- Working knowledge of modern data lake house architectures.
- Understanding of AI/ML data engineering concepts, including feature stores, vector databases, embeddings, LLMs, and SLMs.
- Strong understanding of data governance, metadata management, data quality, security, and access control.
- Excellent problem-solving, communication, and stakeholder management skills.
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 19 September 2026
- How do I apply for Lead Data Engineer at HealthRecon Connect?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. HealthRecon Connect may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Data Engineer remote or on-site in Jaipur, Rajasthan?
- This listing is marked on_site with location Jaipur, Rajasthan. Confirm details on the job description before applying.
- What skills matter for this Lead Data Engineer role at HealthRecon Connect?
- This is a lead Lead Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.