Data Engineer Manager
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer Manager with 6+ years of experience, proficient in Python, Hive, SQL, and PySpark. Contract length is unspecified, with a competitive pay rate. Strong AWS skills and finance/asset management experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date discovered
August 13, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Irvine, CA
-
🧠 - Skills detailed
#Airflow #Data Engineering #SQL (Structured Query Language) #AWS (Amazon Web Services) #Cloud #BitBucket #Data Warehouse #Databricks #DevOps #GitHub #Python #PySpark #Redshift #Data Quality #Spark (Apache Spark) #Version Control
Role description
Experience & Core Requirements
• 6+ years of data engineering experience
• Proficiency in Python, Hive, SQL, and PySpark
• Strong experience with AWS services
• Hands-on experience integrating Databricks into existing AWS data platforms
• Expertise in real-time streaming design using Medallion Architecture
• Skilled in troubleshooting and resolving AWS platform failures
Primary Skills
• PySpark, Hive, SQL, Python
• AWS cloud environment experience
• Familiarity with Airflow, version control tools (GitHub, Bitbucket)
• Exposure to MPP data warehouses (SQLDW, Redshift)
• Strong understanding of data warehousing concepts
• Proficient with Databricks workflows and integration
• Excellent communication and client engagement skills
• Experience collaborating with offshore teams
Secondary Skills (Preferred)
• Experience building enterprise data models in the finance/asset management domain (fixed income, equities, etc.)
• DevOps exposure
• AWS Data Quality (AWS DQ) knowledge
Experience & Core Requirements
• 6+ years of data engineering experience
• Proficiency in Python, Hive, SQL, and PySpark
• Strong experience with AWS services
• Hands-on experience integrating Databricks into existing AWS data platforms
• Expertise in real-time streaming design using Medallion Architecture
• Skilled in troubleshooting and resolving AWS platform failures
Primary Skills
• PySpark, Hive, SQL, Python
• AWS cloud environment experience
• Familiarity with Airflow, version control tools (GitHub, Bitbucket)
• Exposure to MPP data warehouses (SQLDW, Redshift)
• Strong understanding of data warehousing concepts
• Proficient with Databricks workflows and integration
• Excellent communication and client engagement skills
• Experience collaborating with offshore teams
Secondary Skills (Preferred)
• Experience building enterprise data models in the finance/asset management domain (fixed income, equities, etc.)
• DevOps exposure
• AWS Data Quality (AWS DQ) knowledge
