Lead Data Engineer - Nearshore
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer with 8–10 years of software development experience, focusing on SQL, Datastage, Databricks, and Azure. Requires expertise in data modeling and cloud platforms, with skills in Scala, Java, Python, and BI tools.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
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🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
California
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🧠 - Skills detailed
#Data Storage #Programming #Python #SQL (Structured Query Language) #Scripting #"ETL (Extract #Transform #Load)" #Data Modeling #BI (Business Intelligence) #Azure #Cloud #DataStage #Regression #Data Ingestion #Data Pipeline #Jenkins #Databricks #Deployment #R #Datasets #Scala #Tableau #Data Engineering #GitHub #Java #ThoughtSpot #Data Warehouse #Spark (Apache Spark) #Storage #Database Architecture
Role description
Role: Data Engineer Location: Nearshore Key Requirements 8–10 years of software development & deployment experience Hands-on experience with SQL, Datastage (or other ETL tools) Experience with BI tools ( Tableau, Cognos, ThoughtSpot ) is a plus Strong experience with Databricks and Azure (must-have) Ability to analyze large datasets, identify trends/patterns, and extract insights Expertise in data modeling, design patterns , and building scalable BI/distributed applications Experience with cloud platforms Technical Skills: SQL, Spark, Hive (data storage, joining, filtering, analyzing) CI/CD frameworks (GitHub, Jenkins, regression-able code in data pipelines) Programming/scripting in Scala, Java, Python, R (any combination) Data ingestion pipelines (ETL, data warehouse, database architecture)
Role: Data Engineer Location: Nearshore Key Requirements 8–10 years of software development & deployment experience Hands-on experience with SQL, Datastage (or other ETL tools) Experience with BI tools ( Tableau, Cognos, ThoughtSpot ) is a plus Strong experience with Databricks and Azure (must-have) Ability to analyze large datasets, identify trends/patterns, and extract insights Expertise in data modeling, design patterns , and building scalable BI/distributed applications Experience with cloud platforms Technical Skills: SQL, Spark, Hive (data storage, joining, filtering, analyzing) CI/CD frameworks (GitHub, Jenkins, regression-able code in data pipelines) Programming/scripting in Scala, Java, Python, R (any combination) Data ingestion pipelines (ETL, data warehouse, database architecture)
