New York Technology Partners

Senior Associate Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Associate Data Engineer, a 6-month contract at a pay rate of "X" per hour, located in "Y". Key skills include Python, SQL, Snowflake, and cloud experience, with a focus on data pipelines and client-facing collaboration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Python #Automation #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Snowflake #Data Pipeline #Cloud #Data Transformations #Scala #SQL (Structured Query Language) #Data Integration #ML (Machine Learning) #Data Engineering #Airflow #dbt (data build tool) #Data Quality #AWS (Amazon Web Services)
Role description
We are looking for a Senior Associate Data Engineer to support the development and maintenance of enterprise-scale data pipelines in a modern cloud environment. This role requires a hands-on engineer who can quickly ramp up, work independently, and effectively collaborate in a client-facing setting. Key Responsibilities • Design, build, and maintain scalable data pipelines and data transformations • Develop and optimize data models within cloud-based data platforms • Partner with cross-functional teams to enable data integration and analytics use cases • Ensure data quality, reliability, and performance across systems • Translate business requirements into technical solutions in a client-facing environment • Contribute to best practices in data engineering, automation, and workflow orchestration Required Skills & Experience • Strong proficiency in Python and SQL • Hands-on experience with Snowflake, dbt, and Airflow (or similar orchestration tools) • Solid understanding of ETL/ELT processes and data pipeline architecture • Experience working in cloud environments (e.g., AWS) • Ability to work independently and manage priorities in a fast-paced setting Preferred Qualifications • Exposure to AI/ML tools or workflows (e.g., AWS Bedrock, Snowflake ML) • Familiarity with automation and AI-assisted data processes • Experience supporting pilot or early-stage AI initiatives is a plus