Data Engineer : W2 Onsite role

Haramain Systems•Jersey City, NJ

12h•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.
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.).
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.
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.