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Data Engineer

HealthRecon Connect LLC   Colombo • Full-time

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 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:
Data Engineer

Work Week:
Monday to Friday

Shift Window:
12:00 PM to 9:00 PM 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-time
US calendar applicable

Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines for data extraction, transformation, and loading.
  • Integrate data from multiple sources such as databases, APIs, flat files, and third-party systems.
  • Build and optimize data workflows using tools such as Apache NiFi.
  • Ensure data quality, accuracy, consistency, and reliability across systems.
  • Work with relational and non-relational databases.
  • Support data warehouse, data mart, and reporting data models.
  • Collaborate with business analysts, backend teams, and reporting teams to understand data requirements.
  • Prepare datasets for analytics, dashboards, and reporting.
  • Monitor pipeline performance and troubleshoot data processing issues.
  • Maintain proper documentation for data flows, mappings, and processes. 

Qualifications/Criteria:

  • Bachelor’s degree in computer science, Software Engineering, or a related field.
    3-4 years of experience in data engineering or a related field.
  • Strong experience in ETL development and data pipeline design.
  • Good knowledge of SQL and database concepts.
  • Experience working with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
  • Understanding of data warehousing concepts.
  • Experience with data validation, cleansing, and transformation.
  • Ability to analyze large datasets and troubleshoot data issues.
  • Good understanding of batch and real-time data processing.
  • Experience with Power BI dashboard/report development.
  • Knowledge of cloud data platforms.
  • Experience with APIs, JSON, XML, CSV, and file-based integrations.
  • Knowledge of data governance, security, and access control.
  • Experience with Python or Java for data processing.