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 position with a pay rate of "X" per hour. Key skills include Python, SQL, Snowflake, and cloud experience (AWS preferred). Strong ETL/ELT knowledge and client-facing experience required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 30, 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 #Data Quality #Data Pipeline #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Snowflake #Data Engineering #Automation #Airflow #Data Integration #Cloud #dbt (data build tool) #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Scala #SQL (Structured Query Language)
Role description
We are seeking a skilled Data Engineer to support the development of scalable, cloud-based data pipelines in a client-facing environment. This role requires strong technical expertise, ownership, and the ability to work independently in a fast-paced setting.
Key Responsibilities
• Design, build, and maintain robust data pipelines and transformations
• Develop and optimize data models within a cloud data platform
• Collaborate with cross-functional teams to enable data integration and analytics
• Ensure data quality, reliability, and performance across systems
• Translate business requirements into scalable technical solutions
• Contribute to best practices in data engineering, automation, and orchestration
Required Skills & Experience
• Strong proficiency in Python and SQL
• Hands-on experience with Snowflake, dbt, and Airflow (or similar tools)
• Solid understanding of ETL/ELT processes and data pipeline architecture
• Experience working in cloud environments (AWS preferred)
• Ability to manage priorities independently in a client-facing role
Preferred Qualifications
• Exposure to AI/ML tools or workflows (e.g., AWS Bedrock, Snowflake ML)
• Experience with automation and AI-driven data processes
We are seeking a skilled Data Engineer to support the development of scalable, cloud-based data pipelines in a client-facing environment. This role requires strong technical expertise, ownership, and the ability to work independently in a fast-paced setting.
Key Responsibilities
• Design, build, and maintain robust data pipelines and transformations
• Develop and optimize data models within a cloud data platform
• Collaborate with cross-functional teams to enable data integration and analytics
• Ensure data quality, reliability, and performance across systems
• Translate business requirements into scalable technical solutions
• Contribute to best practices in data engineering, automation, and orchestration
Required Skills & Experience
• Strong proficiency in Python and SQL
• Hands-on experience with Snowflake, dbt, and Airflow (or similar tools)
• Solid understanding of ETL/ELT processes and data pipeline architecture
• Experience working in cloud environments (AWS preferred)
• Ability to manage priorities independently in a client-facing role
Preferred Qualifications
• Exposure to AI/ML tools or workflows (e.g., AWS Bedrock, Snowflake ML)
• Experience with automation and AI-driven data processes
