PostgreSQL Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a PostgreSQL Data Engineer with 8+ years of experience in data engineering, focusing on PostgreSQL, Snowflake, and Clickhouse. Key skills include SQL, Python, and familiarity with data pipeline frameworks. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date discovered
August 16, 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
New York City Metropolitan Area
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🧠 - Skills detailed
#Redshift #Python #Data Engineering #Airflow #Data Pipeline #Database Performance #dbt (data build tool) #Data Warehouse #BigQuery #SQL (Structured Query Language) #Snowflake #Luigi #PostgreSQL #Scripting #"ETL (Extract #Transform #Load)"
Role description
We are seeking a Senior Data Engineer with hands-on experience with PostgeSQL ,Snowflake and Clickhouse. Also a deep expertise in data operations, infrastructure for analytics, and database performance optimization to join our Investment Technology team. This role plays a critical part in building and maintaining the data backbone that powers internal applications, sustainability reporting, investment analytics, and decision-making platforms
• 8+ (or 5+ with exceptional expertise) years of experience in data engineering, data platform infrastructure, or analytics-focused engineering with PostgreSQL
• Strong command of SQL and database optimization techniques
• Experience with data warehouse systems (e.g., Snowflake, Redshift, BigQuery) and OLAP/OLTP hybrid design
• Proficiency with Python or similar for scripting, transformation, and data operations
• Familiarity with data pipeline frameworks (e.g., Airflow, dbt, Luigi) and orchestration practices
We are seeking a Senior Data Engineer with hands-on experience with PostgeSQL ,Snowflake and Clickhouse. Also a deep expertise in data operations, infrastructure for analytics, and database performance optimization to join our Investment Technology team. This role plays a critical part in building and maintaining the data backbone that powers internal applications, sustainability reporting, investment analytics, and decision-making platforms
• 8+ (or 5+ with exceptional expertise) years of experience in data engineering, data platform infrastructure, or analytics-focused engineering with PostgreSQL
• Strong command of SQL and database optimization techniques
• Experience with data warehouse systems (e.g., Snowflake, Redshift, BigQuery) and OLAP/OLTP hybrid design
• Proficiency with Python or similar for scripting, transformation, and data operations
• Familiarity with data pipeline frameworks (e.g., Airflow, dbt, Luigi) and orchestration practices
