Senior Data Engineer - Hybrid/Remote Big Data

Mount Sinai; United States; Hybrid; USD 109,000 - 164,000; Full time

Job summary

Mount Sinai is seeking a Data Engineer III to join the Digital and Technology Partners team. This hybrid/remote role focuses on building and maintaining data pipelines, storage, and processing for translational research and clinical care.

You will collaborate with application developers, data scientists, and analysts to design scalable solutions using Azure Data Factory, Databricks, and a mix of SQL/NoSQL technologies.

Qualifications

• Bachelor’s degree in Computer Science or a related discipline.
• 5+ years relevant professional development experience in data engineering.
• In-depth knowledge of Azure Data Factory and Databricks.
• Strong SQL and NoSQL database knowledge (Oracle, PostgreSQL/MySQL, MongoDB).
• Proficiency with 2+ languages among Scala, Python, Java.

Responsibilities

• Facilitates data collection from diverse sources and ensures data quality.
• Ensures scalable, repeatable, and secure data pipelines for multiple users.
• Works in an Agile team with developers, database developers, and data scientists.
• Develops infrastructure for insights from raw data and handles diverse data sources.
• Enables big data and real-time analytics using emerging technologies.
• Develops prototypes and runs complex big data projects for research initiatives.
• Translates business requirements into data pipeline solutions and documents them.

Skills

Scala/Python/Java

SQL/NoSQL

Agile / Jira

Restful services

CI/CD

Cloud architecture

Data modeling

Education

Bachelor’s degree in Computer Science

Advanced degree preferred

Tools

Azure Data Factory

Databricks

SQL/NoSQL databases (Oracle, PostgreSQL/MySQL, MongoDB)

Hadoop, Spark, Kafka

Git

Azure/AWS cloud

Node.js / Django / PHP

JIRA

Job description

Mount Sinai is seeking a Data Engineer III to join the Digital and Technology Partners team. This hybrid/remote role focuses on building and maintaining data pipelines, storage, and processing for translational research and clinical care.

You will collaborate with application developers, data scientists, and analysts to design scalable solutions using Azure Data Factory, Databricks, and a mix of SQL/NoSQL technologies.