Data Engineer

This role is a Data Engineer position with a contract-to-hire arrangement, focusing on data pipeline development and maintenance. Requires 5+ years of experience, strong SQL skills, and familiarity with Data Bricks and cloud platforms. Local candidates preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
January 17, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
New York, NY
🧠 - Skills detailed
#Monitoring #Data Bricks #Python #Azure #Deployment #Data Engineering #Computer Science #GCP (Google Cloud Platform) #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Quality #Data Integration #Data Science #AWS (Amazon Web Services) #Data Warehouse #Data Pipeline #Cloud
Role description
Log in or sign up for free to view the full role description and the link to apply.

Contract to Hire - W2 only - locals please


• We are seeking a highly motivated and talented Data Engineer to join our clients growing data team. In this role, you will play a critical part in designing, building, and maintaining our data infrastructure. You will work closely with data scientists, analysts, and business stakeholders to ensure data quality, accuracy, and accessibility.

Responsibilities:
• Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse (e.g., Data Bricks).
• Develop and maintain data quality checks and monitoring systems.
• Build and optimize data models, including star schema and dimensional modeling.
• Collaborate with data scientists and analysts to understand their data needs and translate them into technical solutions.
• Troubleshoot and resolve data quality issues.
• Participate in all phases of the software development lifecycle, including design, development, testing, and deployment.
• Stay up-to-date on the latest data engineering technologies and best practices.

Qualifications:
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 5+ years of experience as a Data Engineer or in a similar role.
• Strong understanding of data warehousing principles, including star schema and dimensional modeling.
• Extensive experience with SQL and data querying languages.
• Experience with data integration tools and technologies, including Data Bricks.
• Experience with Python is a plus.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent communication and collaboration skills.
• Strong analytical and problem-solving skills.
• Passion for data and a strong desire to learn and grow.