Data Engineer

Overview

Hybrid
$60 - $70
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Snowflake
SQL

Job Details

We are seeking a skilled Data Engineer with expertise in Snowflake and SQL to join our growing team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, integrating data from multiple sources, and optimizing data storage and retrieval processes. You will work closely with data analysts, data scientists, and other teams to ensure efficient data flow, high data quality, and reliable performance within the Snowflake and AWS ecosystem.

Key Responsibilities:

  • Design, develop, and optimize data pipelines using Snowflake, AWS services (S3, Redshift, Lambda, etc.), and ETL tools.
  • Build and maintain data warehouses and data lakes in Snowflake.
  • Work with large, complex datasets, ensuring high availability and performance.
  • Implement data models, integrations, and transformations that support business intelligence and analytics.
  • Ensure the integrity, security, and accessibility of data within the Snowflake and AWS infrastructure.
  • Collaborate with cross-functional teams to deliver actionable insights and improvements.

Qualifications:

  • Proven experience with Snowflake, AWS and SQL.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration abilities.

Preferred:

  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Knowledge of data governance, security, and compliance best practices.

This is an exciting opportunity for someone with a passion for data and cloud technologies to make an impact in a dynamic environment.

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.