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# Senior Data Engineer

- **Company:** Saransh Inc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $104,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Big Data, Data as a Services, Data Architecture, Information Engineering, Data Systems, PostgreSQL, Amazon Simple Notification Service (SNS), SQL Databases, Data Processing, Scripting, Electronic Medical Records, Data Lakes, Pyspark, Information Technology, AWS Glue, Data Pipelines
- **Published:** June 5, 2026
- **Apply:** https://www.careerjet.com/jobad/us7511f07de389b95d321f3a13d1cd3d44

## About the Role

* Minimum Qualifications: 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills.
 * Tech Skills: Strong experience in Python Scripting and PySpark for data processing.
 * Proficiency in SQL, dealing with big data processing.
 * Proven experience in data processing for data lake in Iceberg format, with strong understanding of architecture.
 * Experience in AWS Glue jobs.
 * Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, Event bridge).
 * Expertise in BASH/Shell scripting.
 * Strong understanding of healthcare Finance systems and experience leading data engineering teams.
 * Experience in Agile environments.
 * Excellent problem-solving skills and attention to detail.
 * Effective communication and collaboration skills.

## Description

* Senior Data Engineer Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements.
 * This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems., * Responsibilities: Leads development of data pipelines and architectures that handle large-scale data sets.
 * Designs, constructs, and tests data architecture aligned with business requirements.
 * Provides technical leadership for data projects, ensuring best practices and high-quality data solutions.
 * Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
 * Oversees development of data solutions that enable predictive and prescriptive analytics.
 * Ensures the technical quality of solutions, managing data as it moves across environments.
 * Aligns data architecture to Healthfirst solution architecture.


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