TechTriad
Sr Data Engineer- W2 Role
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (W2) based in New York, remote, for 6+ months. Key skills include 10+ years in Data Engineering, Databricks, Apache Spark, Scala, AWS, and Python. Advanced SQL and ETL development experience required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 4, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Data Engineering #Apache Spark #Python #Scala #Teradata #Data Warehouse #Data Modeling #"ETL (Extract #Transform #Load)" #Cloud #Spark (Apache Spark) #Snowflake #Redshift #Data Processing #Databricks #AWS (Amazon Web Services) #Data Pipeline #SQL (Structured Query Language)
Role description
Hiring: Senior Data Engineer
📍 Location: New York -Remote
📅 Duration: 6+ Months
💼 Employment Type: W2 Only (No C2C)
Note: W2 Only. No C2C or third-party submissions
We're actively seeking a Senior Data Engineer with strong experience in Databricks, Apache Spark, Scala, AWS and Python to join a high-impact data engineering team. This is an excellent opportunity to work on scalable data platforms, modern ETL pipelines, and cloud-based data warehouse solutions.
🔹 Required Skills:
✅ 10+ years of Data Engineering experience
✅ Hands-on experience with Databricks
✅ Apache Spark & Python
✅ Advanced SQL
✅ ETL Development & Data Modeling
✅ Distributed Data Processing Systems
✅ AWS Redshift, Snowflake, or Teradata
✅ Strong understanding of scalable data pipelines and performance optimization
➕ Preferred:
✔️ Scala
✔️ Apache Flink or Druid
✔️ Experience with real-time data processing
Hiring: Senior Data Engineer
📍 Location: New York -Remote
📅 Duration: 6+ Months
💼 Employment Type: W2 Only (No C2C)
Note: W2 Only. No C2C or third-party submissions
We're actively seeking a Senior Data Engineer with strong experience in Databricks, Apache Spark, Scala, AWS and Python to join a high-impact data engineering team. This is an excellent opportunity to work on scalable data platforms, modern ETL pipelines, and cloud-based data warehouse solutions.
🔹 Required Skills:
✅ 10+ years of Data Engineering experience
✅ Hands-on experience with Databricks
✅ Apache Spark & Python
✅ Advanced SQL
✅ ETL Development & Data Modeling
✅ Distributed Data Processing Systems
✅ AWS Redshift, Snowflake, or Teradata
✅ Strong understanding of scalable data pipelines and performance optimization
➕ Preferred:
✔️ Scala
✔️ Apache Flink or Druid
✔️ Experience with real-time data processing
