Remote Data Engineer II: Cloud Data Pipelines & Analytics

Mount Sinai Health System; New York (NY); Hybrid; USD 90,000 - 135,000; Full time

Job summary

Mount Sinai Health System in New York, NY, invites applications for a Data Engineer to design and maintain scalable data pipelines that support research and analytics. The role emphasizes data quality, security, and collaboration with data scientists, developers, and IT teams in an Agile environment.

You will work with Azure data services, Databricks, Hadoop and Spark to collect, process, and store large datasets while ensuring compliance with HIPAA and institutional policies.

Qualifications

• 4+ years of professional development experience in a data engineering role.
• Deep knowledge of Azure data services (Azure Data Factory, Databricks).
• Strong SQL/NoSQL experience with Oracle, PostgreSQL/MySQL, MongoDB.
• Experience with Hadoop, Spark, Kafka and streaming tools.
• Knowledge of healthcare data, HL7, Mirth is a plus.
• CI/CD and observability tools; version control (Git).
• Proficiency in at least two languages among Scala, Python, Java.

Responsibilities

• Facilitates data collection from multiple sources and ensures data quality.
• Ensures scalable, secure data streams/pipelines for multiple users.
• Collaborates in an Agile team with developers, data scientists, and IT.
• Creates infrastructure for insights from raw data and big data projects.
• Implements big data solutions with multi-platform data management.
• Translates business requirements into data pipeline solutions and documents them.
• Designs monitoring, backup, and disaster recovery for data systems.

Skills

SQL

NoSQL databases

Programming languages (Scala/Python/JS

Azure cloud

Big data concepts

RESTful services

Agile methodology

JIRA

Education

Bachelor's degree in Computer Science or related discipline

Advanced degree preferred

Tools

Azure Data Factory

Databricks

Hadoop

Spark

Kafka

Mirth

CI/CD

Git

Job description

Mount Sinai Health System in New York, NY, invites applications for a Data Engineer to design and maintain scalable data pipelines that support research and analytics. The role emphasizes data quality, security, and collaboration with data scientists, developers, and IT teams in an Agile environment.

You will work with Azure data services, Databricks, Hadoop and Spark to collect, process, and store large datasets while ensuring compliance with HIPAA and institutional policies.