Signature IT World Inc
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 10+ years of experience, offering a contract in NYC, NY. Key skills include Python, SQL, ETL, Spark, AWS/Azure, and Kafka. Banking/Financial Services experience preferred. Face-to-face interviews required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Data Engineering #SQL Queries #Kafka (Apache Kafka) #Hadoop #Cloud #Big Data #Spark (Apache Spark) #Airflow #SQL (Structured Query Language) #Azure #Python #Snowflake #Redshift #Deployment #AWS (Amazon Web Services) #GIT #PySpark #Scala #Datasets #Azure cloud #"ETL (Extract #Transform #Load)" #Data Pipeline
Role description
Job Description
Role: Senior Data Engineer
Experience: 10+ Year of Experience
Type: Contract - C2C / W2
Location : NYC, NY - Onsite
Mode of interview - Face To Face interview
Key Skills
• Python / PySpark
• SQL & ETL Development
• Spark / Hadoop
• Data Warehousing (Snowflake, Redshift, etc.)
• AWS/Azure Cloud
• Kafka / Airflow
• Git & CI/CD
Responsibilities
• Design and develop scalable data pipelines
• Process and transform large datasets
• Optimize Spark jobs and SQL queries
• Support production deployments and issue resolution
• Collaborate with analytics, business, and engineering teams
Preferred
• Banking/Financial Services experience
• Strong troubleshooting and performance tuning skills
• Experience with big data and cloud platforms
Job Description
Role: Senior Data Engineer
Experience: 10+ Year of Experience
Type: Contract - C2C / W2
Location : NYC, NY - Onsite
Mode of interview - Face To Face interview
Key Skills
• Python / PySpark
• SQL & ETL Development
• Spark / Hadoop
• Data Warehousing (Snowflake, Redshift, etc.)
• AWS/Azure Cloud
• Kafka / Airflow
• Git & CI/CD
Responsibilities
• Design and develop scalable data pipelines
• Process and transform large datasets
• Optimize Spark jobs and SQL queries
• Support production deployments and issue resolution
• Collaborate with analytics, business, and engineering teams
Preferred
• Banking/Financial Services experience
• Strong troubleshooting and performance tuning skills
• Experience with big data and cloud platforms
