Brilliant Infotech Inc.

Principal / Lead Data Engineer (ETL & Cloud)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal/Lead Data Engineer (ETL & Cloud) on a long-term W2 contract, offering remote work. Requires 10+ years of data engineering experience, expertise in Ab Initio, Python, Big Data tools, and cloud platforms (AWS/Azure).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 4, 2026
🕒 - Duration
Unknown
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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
United States
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🧠 - Skills detailed
#Snowflake #Oracle #Python #"ETL (Extract #Transform #Load)" #Cloud #AWS (Amazon Web Services) #Ab Initio #Data Migration #Hadoop #Monitoring #Batch #Data Engineering #Databricks #Azure #Migration #Data Governance #Spark (Apache Spark) #SQL (Structured Query Language) #Security #Scala #Azure cloud #Big Data #Teradata #Data Processing
Role description
Job Title: Principal / Lead Data Engineer (ETL & Cloud) Location: Remote Employment Type: W2 Contract Duration: Long Term Job Summary: We are seeking a Principal/Lead Data Engineer to design and build scalable ETL pipelines and cloud-based data platforms. This role focuses on real-time data processing, system optimization, and modernization across enterprise environments. Key Responsibilities: • Design and develop ETL pipelines (batch & real-time) • Build scalable solutions using Big Data tools (Spark, Hadoop, Databricks) • Lead cloud migration and modernization (AWS/Azure) • Optimize performance, reliability, and cost efficiency • Implement data governance, security, and CI/CD practices • Support production systems and mentor junior engineers Required Skills: • 10+ years of data engineering / ETL experience • Strong expertise in Ab Initio, Python, or similar tools • Experience with Big Data (Hadoop, Hive, Spark, Databricks) • Hands-on with AWS/Azure cloud platforms • Strong SQL and database skills (Oracle, Teradata, Snowflake) • Experience with real-time data processing and job schedulers Preferred: • Financial services/banking experience • Cloud or Databricks certifications • Experience with data migration and monitoring tools