Envision Technology Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Jersey City, NJ, requiring 5 days onsite. The long-term project demands expertise in Python, Spark, Scala, and knowledge of Snowflake/Databricks. Banking domain experience is preferred. In-person interview is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 22, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#"ACID (Atomicity #Consistency #Isolation #Durability)" #Apache Iceberg #Data Pipeline #Spark (Apache Spark) #Databricks #Data Engineering #Snowflake #Python #Scala
Role description
Job Title: Data Engineer
Location: Jersey City, NJ – 5 Days onsite role
Long Term Project
Banking domain and Near by Area preferred
In- Person interview mandatory
Mandatory Skills:
• Python/ PySprak
• Spark
• Scala
• Good Communication skills
Job Description:
• working knowledge of Snowflake/Databricks fundamentals and how to use it effectively in practice.
• in-depth knowledge and understanding of Databricks/Spark concepts and common patterns for building and operating data pipelines.
• Knowledge of data formats ,Delta tables and Apache Iceberg (table semantics, schema evolution, ACID/time travel, partitioning/compaction).
• provide concrete approaches to improve project efficiency (performance tuning, cost optimization, scaling strategies), which is a key requirement for this role.
Job Title: Data Engineer
Location: Jersey City, NJ – 5 Days onsite role
Long Term Project
Banking domain and Near by Area preferred
In- Person interview mandatory
Mandatory Skills:
• Python/ PySprak
• Spark
• Scala
• Good Communication skills
Job Description:
• working knowledge of Snowflake/Databricks fundamentals and how to use it effectively in practice.
• in-depth knowledge and understanding of Databricks/Spark concepts and common patterns for building and operating data pipelines.
• Knowledge of data formats ,Delta tables and Apache Iceberg (table semantics, schema evolution, ACID/time travel, partitioning/compaction).
• provide concrete approaches to improve project efficiency (performance tuning, cost optimization, scaling strategies), which is a key requirement for this role.
