Senior Healthcare Data Engineer(Fulltime Position)

Pointers -
Sr. DE with Pyspark, DB exp, Python, SQL, DS + AI ML exp
Good to have - US healthcare experience

Role :: Senior Data engineer
Experience: 6 10 years

About the Role We are looking for a highly skilled Senior Data Engineer with strong expertise in PySpark, Python, SQL, and database technologies, along with exposure to Data Science, AI/ML techniques. The ideal candidate will design and optimize scalable data pipelines, collaborate with cross-functional teams, and contribute to the development of analytical and machine learning driven solutions.

Key Responsibilities

Data Engineering & Pipeline Development
Design, develop, and optimize large-scale ETL/ELT pipelines using PySpark and distributed data processing frameworks.
Build high-performance data ingestion workflows from diverse structured and unstructured sources.
Implement scalable data models, data marts, and warehousing solutions.

Programming & Database Expertise
Write clean, modular, and optimized code using Python for data processing and automation.
Develop complex SQL queries, stored procedures, and performance-tuned database operations.
Work with relational and NoSQL databases (e.g., MySQL, PostgreSQL, SQL Server, MongoDB, etc.).

Data Science + AI/ML Collaboration
Partner with Data Science teams to productionize ML models and enable ML-driven pipelines.
Contribute to model deployment, feature engineering, and ML workflow optimization.
Integrate ML models into scalable data platforms.

Architecture & Best Practices
Ensure data quality, reliability, lineage, and governance across data workflows.
Drive best practices in coding, testing, CI/CD, and cloud-based deployments.
Work with cross functional teams to translate business requirements into robust data solutions.

Required Skills & Qualifications
5+ years of experience in Data Engineering with strong hands-on work in PySpark.
Strong proficiency in Python, including libraries for data processing.
Advanced knowledge of SQL and performance optimization techniques.
Experience with distributed data systems (Spark, Databricks, Hive, or similar).
Exposure to AI/ML workflows, including model deployment or MLOps.
Solid understanding of data modeling, warehousing concepts, and ETL/ELT architectures.

Good to Have
US Healthcare domain experience (HIPAA, claims data, EHR/EMR, HL7, FHIR, etc.).
Experience with cloud platforms (Azure, AWS, Google Cloud Platform).
Knowledge of MLflow, Airflow, or similar tools.

"Disclaimer: E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability."