Lead Data Engineer

HealthRecon Connect; Lanka; Hybrid; INR 860,000 - 1,720,000; Full time

Job summary

HealthRecon Connect is seeking a Lead Data Engineer to join HRC focused on Revenue Cycle Management technology automations. You will architect and optimize data platforms to support AI/ML workloads, build scalable ETL/ELT pipelines, and collaborate with cross-functional teams.

The role requires 6+ years in data engineering, experience with PostgreSQL/SQL Server/MySQL/Oracle, and tools like Apache NiFi, Airflow, dbt, Spark and Kafka. Hybrid work with occasional on-site presence in Sri Lanka.

Qualifications

• Bachelor's degree in Computer Science, Engineering, IT, or a related field.
• 6+ years of experience in Data Engineering, Data Platform Engineering, or Data Architecture.
• Understanding of AI/ML data engineering concepts, including feature stores, vector databases, embeddings, LLMs, and SLMs.
• Hands-on experience with relational databases (PostgreSQL, SQL Server, MySQL, Oracle) and analytical databases/warehouses.
• Experience implementing data platforms for AI/ML and Generative AI workloads.

Responsibilities

• Hands-on experience with relational databases (PostgreSQL, SQL Server, MySQL, Oracle) and analytical databases/warehouses.
• Experience with Apache NiFi, Airflow, dbt, Spark, Kafka, or equivalent modern data engineering tools.
• Knowledge of CI/CD, Infrastructure as Code, and DevOps practices.
• Experience building scalable ETL/ELT pipelines and workflow orchestration.

Skills

Data engineering

ETL/ELT pipelines

Workflow orchestration

AI/ML data engineering concepts

LLMs/ Generative AI workloads

Education

Bachelor's degree in Computer Science / IT

Tools

PostgreSQL

SQL Server

MySQL

Oracle

Apache NiFi

Airflow

dbt

Spark

Kafka

Job description

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 Lead Data Engineer to join HRC focused on Revenue Cycle Management (RCM) technology automations and solutions.

Lead 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.

Other Features

Full-time
US calendar applicable

Responsibilities

• Hands-on experience with relational databases (PostgreSQL, SQL Server, MySQL, Oracle) and analytical databases/warehouses.
• Experience with Apache NiFi, Airflow, dbt, Spark, Kafka, or equivalent modern data engineering tools.
• Knowledge of CI/CD, Infrastructure as Code, and DevOps practices.
• Experience building scalable ETL/ELT pipelines and workflow orchestration.

Qualifications/Criteria

• Bachelor’s degree in Computer Science, Engineering, IT, or a related field.
• 6+ years of experience in Data Engineering, Data Platform Engineering, or Data Architecture.
• Understanding of AI/ML data engineering concepts, including feature stores, vector databases, embeddings, LLMs, and SLMs.
• Hands-on experience with relational databases (PostgreSQL, SQL Server, MySQL, Oracle) and analytical databases/warehouses.
• Experience implementing data platforms for AI/ML and Generative AI workloads.