Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a long-term contract in Jersey City, NJ. Requires 8+ years in data engineering, 3+ years with Snowflake and Python, expertise in SQL, and familiarity with Airflow. Hybrid work model.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 11, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Python #GIT #Data Warehouse #Data Pipeline #Data Ingestion #Snowflake #Jira #Airflow #Shell Scripting #Data Lineage #Data Strategy #Data Transformations #Data Engineering #Automated Testing #BI (Business Intelligence) #Spark (Apache Spark) #Data Governance #Agile #"ETL (Extract #Transform #Load)" #JavaScript #Data Processing #Strategy #Data Quality #Data Architecture #Metadata #Data Management #Scala #SQL (Structured Query Language) #Data Orchestration #Automation #Scripting #Project Management #Compliance
Role description
Hello Everyone,
Title: Senior Data Engineer
Location: Jersey City, NJ (Hybrid)
Type: Contract
Duration: Long-term
Job Summary
The company is seeking a Senior Data Engineer with expertise in designing, building, and managing scalable data architectures. You will work with tools like Snowflake, Python, SQL, and data orchestration platforms to develop high-performance solutions that support business intelligence and analytics. You will collaborate with engineering and analytics teams to ensure seamless data flow, system efficiency, and robust data governance.
Key Responsibilities
• Design and implement enterprise-level data solutions using Snowflake
• Build and maintain data pipelines for structured and unstructured data
• Develop Python and SQL-based data transformations for analytics and reporting
• Design and optimize data warehouses in Snowflake
• Implement scalable data ingestion and processing pipelines using Spark, Scala, and Python
• Use orchestration tools like Airflow or Automic to automate workflows
• Manage metadata, data lineage, and governance for data quality and compliance
• Utilize SQL analytical functions for advanced data processing
• Develop automation scripts using Shell scripting and JavaScript
• Apply best practices in CI/CD, automated testing, and performance optimization
• Use Git, Confluence, and Jira for code and project management
• Troubleshoot data issues and implement proactive solutions for system reliability
• Collaborate with cross-functional teams to align data strategy with business goals
Required Qualifications & Experience
• 8+ years of experience in data engineering and enterprise data solutions
• 3+ years of hands-on experience with Snowflake
• 3+ years of experience in Python development
• Strong expertise in SQL and Python for data processing and transformation
• Production experience with Spark, Scala, and Python
• Hands-on experience with data orchestration tools (e.g., Airflow, Automic)
• Solid knowledge of metadata management and data lineage
• Ability to thrive in a fast-paced, agile environment
• Excellent problem-solving and communication skills
• Strong collaborative and team-oriented mindset
Work Location & Expectations
• Hybrid model – a mix of remote and on-site work
• Expected to be on-site at the client location 3–4 consecutive days per month
Hello Everyone,
Title: Senior Data Engineer
Location: Jersey City, NJ (Hybrid)
Type: Contract
Duration: Long-term
Job Summary
The company is seeking a Senior Data Engineer with expertise in designing, building, and managing scalable data architectures. You will work with tools like Snowflake, Python, SQL, and data orchestration platforms to develop high-performance solutions that support business intelligence and analytics. You will collaborate with engineering and analytics teams to ensure seamless data flow, system efficiency, and robust data governance.
Key Responsibilities
• Design and implement enterprise-level data solutions using Snowflake
• Build and maintain data pipelines for structured and unstructured data
• Develop Python and SQL-based data transformations for analytics and reporting
• Design and optimize data warehouses in Snowflake
• Implement scalable data ingestion and processing pipelines using Spark, Scala, and Python
• Use orchestration tools like Airflow or Automic to automate workflows
• Manage metadata, data lineage, and governance for data quality and compliance
• Utilize SQL analytical functions for advanced data processing
• Develop automation scripts using Shell scripting and JavaScript
• Apply best practices in CI/CD, automated testing, and performance optimization
• Use Git, Confluence, and Jira for code and project management
• Troubleshoot data issues and implement proactive solutions for system reliability
• Collaborate with cross-functional teams to align data strategy with business goals
Required Qualifications & Experience
• 8+ years of experience in data engineering and enterprise data solutions
• 3+ years of hands-on experience with Snowflake
• 3+ years of experience in Python development
• Strong expertise in SQL and Python for data processing and transformation
• Production experience with Spark, Scala, and Python
• Hands-on experience with data orchestration tools (e.g., Airflow, Automic)
• Solid knowledge of metadata management and data lineage
• Ability to thrive in a fast-paced, agile environment
• Excellent problem-solving and communication skills
• Strong collaborative and team-oriented mindset
Work Location & Expectations
• Hybrid model – a mix of remote and on-site work
• Expected to be on-site at the client location 3–4 consecutive days per month
