New York Technology Partners
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills required include PySpark, SQL, AWS, and experience with data warehousing and processing frameworks. Client-facing experience is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 28, 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
Irvine, CA
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🧠 - Skills detailed
#Data Warehouse #Data Processing #AWS (Amazon Web Services) #Data Engineering #Data Pipeline #Cloud #Data Modeling #Datasets #Databricks #Redshift #GIT #Kafka (Apache Kafka) #Airflow #Python #PySpark #SQL (Structured Query Language) #Version Control #Spark (Apache Spark) #Scala
Role description
We are seeking a Data Engineer to design and build scalable data solutions that support analytics and business insights. This role requires strong expertise in modern data platforms, distributed processing, and cloud technologies, along with the ability to work in a client-facing, collaborative environment.
Key Responsibilities
• Design, develop, and maintain scalable data pipelines and processing frameworks
• Process and analyze large datasets using distributed technologies
• Collaborate with cross-functional teams and client stakeholders to deliver data solutions
• Optimize performance across data platforms, including Databricks and Kafka
• Implement best practices in data modeling, warehousing, and governance
• Support global delivery efforts and coordinate with offshore teams
Requirements
• Strong hands-on experience with PySpark, Hive, SQL, and Python
• Experience with cloud platforms, preferably AWS
• Familiarity with workflow orchestration tools such as Airflow
• Experience with version control systems (e.g., Git)
• Knowledge of MPP data warehouses (e.g., Redshift)
• Exposure to Databricks and large-scale data processing
• Solid understanding of data warehousing concepts
• Strong communication and client-facing skills
We are seeking a Data Engineer to design and build scalable data solutions that support analytics and business insights. This role requires strong expertise in modern data platforms, distributed processing, and cloud technologies, along with the ability to work in a client-facing, collaborative environment.
Key Responsibilities
• Design, develop, and maintain scalable data pipelines and processing frameworks
• Process and analyze large datasets using distributed technologies
• Collaborate with cross-functional teams and client stakeholders to deliver data solutions
• Optimize performance across data platforms, including Databricks and Kafka
• Implement best practices in data modeling, warehousing, and governance
• Support global delivery efforts and coordinate with offshore teams
Requirements
• Strong hands-on experience with PySpark, Hive, SQL, and Python
• Experience with cloud platforms, preferably AWS
• Familiarity with workflow orchestration tools such as Airflow
• Experience with version control systems (e.g., Git)
• Knowledge of MPP data warehouses (e.g., Redshift)
• Exposure to Databricks and large-scale data processing
• Solid understanding of data warehousing concepts
• Strong communication and client-facing skills
