Data Engineer with Scala and Spark
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with Scala and Spark in NYC, requiring 8-9 years of experience. Key skills include strong Scala proficiency, Apache Spark, SQL, and familiarity with cloud platforms. On-site work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 26, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Data Engineering #Kubernetes #Programming #HBase #Hadoop #AWS (Amazon Web Services) #Agile #Delta Lake #Kafka (Apache Kafka) #Docker #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Cloud #Batch #GCP (Google Cloud Platform) #Spark (Apache Spark) #Scala #Azure #Databricks #Version Control #Airflow #Apache Spark #Snowflake
Role description
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Job : Data Engineer with scala and spark
Location : NYC
Experience : 8-9 years
Skill :
• 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.
