Job Title : Senior-Level Data Engineer Healthcare Domain

Experience: 5+ Years

Employment Type: Full time

About the Role

We are looking for a Senior Data Engineer with extensive experience in healthcare data ecosystems and Databricks-based pipelines. The ideal candidate brings deep technical expertise in building large-scale data platforms, optimizing performance, and ensuring compliance with healthcare data standards (e.g., HIPAA, EDI, HCC). This role requires the ability to lead data initiatives, mentor junior engineers, and work cross-functionally with product, analytics, and compliance teams.

Key Responsibilities

- Architect, develop, and manage large-scale, secure, and high-performance data pipelines on Databricks using Spark, Delta Lake, and cloud-native tools.
- Design and implement healthcare-specific data models to support analytics, AI/ML, and operational reporting.
- Ingest and transform complex data types such as 837/835 claims, EHR/EMR records, provider/member files, lab results, and clinical notes.
- Lead data governance, quality, and security initiatives ensuring compliance with HIPAA, HITECH, and organizational policies.
- Collaborate with cross-functional stakeholders to understand data needs and provide robust, scalable solutions.
- Mentor junior and mid-level engineers, performing code reviews and technical guidance.




- Identify performance bottlenecks and implement optimizations in Spark jobs and SQL transformations.
- Own and evolve best practices for CI/CD, version control, and deployment automation.
- Stay up to date with industry standards (e.g., FHIR, HL7, OMOP) and evaluate new tools/technologies.

Required Qualifications

- 5+ years of experience in data engineering, with 3+ years in healthcare or life sciences domain.
- Deep expertise with Databricks,Scala, Apache Spark (preferably PySpark), and Delta Lake.
- Proficiency in SQL, Python, and data modeling (dimensional/star schema, normalized models).
- Strong command over 837/835 EDI formats, CPT/ICD-10/DRG/HCC coding, and data regulatory frameworks.
- Experience with cloud platforms such as Azure, AWS, or GCP and cloud-native data services (e.g., S3, ADLS, Glue, Data Factory).
- Familiarity with orchestration tools like Airflow, dbt, or Azure Data Factory.
- Proven ability to work in agile environments, manage stakeholder expectations, and deliver end-to-end data products.
- Experience implementing monitoring, observability, and alerting for data pipelines.
- Strong written and verbal communication skills for both technical and non-technical audiences.

Education

- Bachelors degree in Business Administration, Healthcare Informatics, Information Systems, or a related field.

📌 Senior Data Engineer ( Immediate Joiners Only ) (Hyderabad)
🏢 Careeco
📍 Hyderabad