Overview
Contract - W2
Contract - Independent
Contract - 12+ Month(s)
Skills
sql
python
azure
Data Integration
Snoflake
Release
Job Details
Hi,
Hope you are doing well. Below is the Job Description, kindly go through it and please let me know if you are interested.
Role:- Data Integration Engineer
Location:- NYC, NY (Hybrid)
Note:- Only w2.
Job Summary:
We are seeking a skilled Data Integration Engineer to join our team and lead data pipeline development, integration, and release management processes. The ideal candidate will have hands-on experience with Snowflake, Python, and SQL, and a solid understanding of data lifecycle management and CI/CD processes. You'll work closely with data analysts, engineers, and business stakeholders to ensure high-quality, reliable, and secure data movement across platforms.
Key Responsibilities:
- Develop and maintain data integration pipelines between internal and external data sources using Snowflake, Python, and SQL.
- Design and implement ETL/ELT workflows with a focus on performance, scalability, and maintainability.
- Manage data ingestion, transformation, and storage within the Snowflake environment.
- Write efficient and optimized SQL scripts for data extraction, transformation, and loading.
- Coordinate and manage release processes for data pipeline deployments across environments (Dev, QA, Prod).
- Implement and maintain CI/CD pipelines for data applications.
- Collaborate with cross-functional teams to gather data requirements and ensure seamless data delivery.
- Monitor and troubleshoot integration jobs to ensure data accuracy, quality, and timeliness.
- Implement data governance, security, and compliance standards as part of the release process.
- Document data workflows, mappings, and operational runbooks.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.