Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in New York, NY, requiring 8+ years of experience, strong Scala proficiency, and solid Apache Spark skills. W2 only, with a pay rate of "$X/hour", focused on cloud platforms and ETL tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 14, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Agile #Airflow #Kubernetes #HBase #Scala #AWS (Amazon Web Services) #Data Engineering #Batch #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #GCP (Google Cloud Platform) #Snowflake #Kafka (Apache Kafka) #Docker #Databricks #Delta Lake #Cloud #Version Control #Apache Spark #Hadoop #Programming #SQL (Structured Query Language) #Azure
Role description
Job Role: Data Engineer
Location: New York, NY (Onsite)
Experience: 8+ years
Work Mode: W2 Only No C2C
Visas: H4EAD,GC and USC
Job Description:
• Strong proficiency in Scala programming.
• Solid hands-on experience with Apache Spark (Batch and/or Streaming).
• Familiarity with Hadoop ecosystem, Hive, Kafka, or HBase.
• Experience with SQL and data transformation logic.
• Understanding of software engineering best practices (version control, CI/CD, testing).
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Experience with Delta Lake, Databricks, or Snowflake.
• Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow).
• Experience working in an Agile environment.
• Knowledge of data warehousing and ETL tools.
Job Role: Data Engineer
Location: New York, NY (Onsite)
Experience: 8+ years
Work Mode: W2 Only No C2C
Visas: H4EAD,GC and USC
Job Description:
• Strong proficiency in Scala programming.
• Solid hands-on experience with Apache Spark (Batch and/or Streaming).
• Familiarity with Hadoop ecosystem, Hive, Kafka, or HBase.
• Experience with SQL and data transformation logic.
• Understanding of software engineering best practices (version control, CI/CD, testing).
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Experience with Delta Lake, Databricks, or Snowflake.
• Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow).
• Experience working in an Agile environment.
• Knowledge of data warehousing and ETL tools.
