Delta System & Software, Inc.
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in New York City, NY, with a contract length of "unknown" and a pay rate of "unknown." Requires 15+ years of IT experience, recent financial/banking domain expertise, and proficiency in Python, SQL Server, Snowflake, and Azure Databricks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 3, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Compliance #Data Modeling #SQL Server #Snowflake #UAT (User Acceptance Testing) #"ETL (Extract #Transform #Load)" #Azure #Data Engineering #Business Analysis #Data Quality #Scala #Data Integration #Automation #SQL (Structured Query Language) #Agile #Data Pipeline #Databricks #Python #PySpark #Data Architecture #Spark (Apache Spark) #Azure Databricks #Databases
Role description
Role: Senior Data Engineer (Only W2)
Work location: New York City, NY (Hybrid, 3 days in a week)
In-person Interview is required (Local or Nearby Candidates only – no relocation candidates pls )
Must have: Recent Financial / Banking domain experience is MUST. Final round of interview will be in person
Job Description:
Looking for skilled senior data engineer with comprehensive experience in designing, developing, and maintaining scalable data solutions within the financial and regulatory domains. Proven expertise in leading end-to-end data architectures, integrating diverse data sources, and ensuring data quality and accuracy.
Core Competencies:
• Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark.
• Strong understanding of relational databases, ETL processes, and data modeling.
• Expertise in system design, architecture, and implementing robust data pipelines.
• Hands-on experience with data validation, quality checks, and automation tools (Autosys, Control-M).
• Skilled in Agile methodologies, SDLC processes, and CI/CD pipelines.
• Effective communicator with the ability to collaborate with business analysts, users, and global teams.
Key Responsibilities:
• Overall 15+ years of IT experience is required
• Collaborate with business stakeholders to gather technical specifications and translate business requirements into technical solutions.
• Develop and optimize data models and schemas for efficient data integration and analysis.
• Lead application development involving Python, SQL, Snowflake, and Databricks platforms.
• Implement data validation procedures to maintain high data quality standards.
• Conduct comprehensive testing (UT, SIT, UAT) alongside business and testing teams.
• Provide ongoing support, troubleshooting, and maintenance in production environments.
• Contribute to architecture and design discussions to ensure scalable, maintainable data solutions.
• Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).
Additional Skills & Experience:
• Strong problem-solving and analytical skills.
• Bonus: Hands-on experience with PySpark.
Role: Senior Data Engineer (Only W2)
Work location: New York City, NY (Hybrid, 3 days in a week)
In-person Interview is required (Local or Nearby Candidates only – no relocation candidates pls )
Must have: Recent Financial / Banking domain experience is MUST. Final round of interview will be in person
Job Description:
Looking for skilled senior data engineer with comprehensive experience in designing, developing, and maintaining scalable data solutions within the financial and regulatory domains. Proven expertise in leading end-to-end data architectures, integrating diverse data sources, and ensuring data quality and accuracy.
Core Competencies:
• Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark.
• Strong understanding of relational databases, ETL processes, and data modeling.
• Expertise in system design, architecture, and implementing robust data pipelines.
• Hands-on experience with data validation, quality checks, and automation tools (Autosys, Control-M).
• Skilled in Agile methodologies, SDLC processes, and CI/CD pipelines.
• Effective communicator with the ability to collaborate with business analysts, users, and global teams.
Key Responsibilities:
• Overall 15+ years of IT experience is required
• Collaborate with business stakeholders to gather technical specifications and translate business requirements into technical solutions.
• Develop and optimize data models and schemas for efficient data integration and analysis.
• Lead application development involving Python, SQL, Snowflake, and Databricks platforms.
• Implement data validation procedures to maintain high data quality standards.
• Conduct comprehensive testing (UT, SIT, UAT) alongside business and testing teams.
• Provide ongoing support, troubleshooting, and maintenance in production environments.
• Contribute to architecture and design discussions to ensure scalable, maintainable data solutions.
• Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).
Additional Skills & Experience:
• Strong problem-solving and analytical skills.
• Bonus: Hands-on experience with PySpark.
