[Hiring] Senior Healthcare Data Engineer @Cynet Systems

Role Description

Our client is looking for an experienced Data Engineer with strong healthcare clinical data knowledge and hands-on expertise in Databricks and Snowflake. The candidate will work closely with stakeholders, the Data Architect, data science teams, and offshore engineers to build and maintain scalable clinical data pipelines and datasets that support predictive analytics. The role will also coordinate day-to-day engineering activities with the offshore team and help ensure smooth delivery.

• Work directly with stakeholders to understand clinical data requirements, clarify source-to-target mappings, and translate requirements into scalable data engineering solutions.
• Develop and maintain data pipelines using Databricks, Snowflake, Spark/PySpark, and SQL.
• Build and manage data layers within a Lakehouse/Medallion architecture, including Bronze, Silver, and Gold datasets using Delta Lake and related data platforms.
• Design and implement data ingestion, transformation, and integration between Databricks, Snowflake, and upstream/downstream healthcare systems.
• Ingest, transform, and standardize clinical data from EHR/EMR and other healthcare sources, including encounters, diagnoses, procedures, labs, and medications.
• Work with healthcare data standards such as HL7, FHIR, CCD, ICD-10, CPT, LOINC, SNOMED, and RxNorm to prepare standardized and analytics-ready datasets.
• Build high-quality data foundations for predictive analytics use cases such as readmission risk, risk stratification, and care gaps.
• Partner with Data Architects and data science teams to prepare curated datasets and features required for machine learning and predictive models.
• Implement data quality checks, reconciliation, exception handling, monitoring, and logging to ensure reliable data pipelines.
• Apply data governance, lineage, access controls, and HIPAA/PHI security requirements across Databricks, Snowflake, and the broader data ecosystem.
• Optimize Spark, SQL, Databricks, and Snowflake workloads for performance, scalability, and cost.
• Coordinate with offshore engineers on requirements, development, testing, and issue resolution, while providing regular delivery updates to project stakeholders.
• Troubleshoot pipeline and data issues, identify root causes, and support timely resolution across development and production environments.

Qualifications

• 6+ years of experience in data engineering, with strong exposure to healthcare and clinical data.
• Good understanding of healthcare clinical data and standards including HL7, FHIR, CCD, ICD-10, CPT, LOINC, SNOMED, and RxNorm.
• Strong hands-on experience with Databricks, Spark/PySpark, SQL, Delta Lake, Unity Catalog, and Databricks Workflows.
• Strong working experience with Snowflake, including data loading, transformation, data modeling, performance optimization, and security/access controls.
• Experience building ETL/ELT pipelines and implementing Lakehouse and Medallion architectures.
• Experience integrating and moving data across Databricks, Snowflake, and cloud-based data platforms.
• Experience preparing data for predictive analytics, advanced analytics, or machine learning use cases.
• Good working knowledge of Azure or AWS cloud environments.
• Understanding of healthcare data security, HIPAA, and PHI handling requirements.
• Strong SQL skills with experience in data transformation, performance optimization, and data quality frameworks.
• Strong verbal and written communication skills and stakeholder management skills, with experience working in an onshore-offshore delivery model.