Infojini Inc
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in New York City, NY, with a contract length of unspecified duration and a pay rate of "unknown." Key skills include data architecture, SQL, Python, AWS, and experience in alternative investments. A bachelor's degree and 8+ years in data engineering are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 20, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Documentation #Snowflake #Scala #"ETL (Extract #Transform #Load)" #Computer Science #Python #Data Architecture #Compliance #Security #Data Engineering #Data Governance #Data Accuracy #Data Quality #SQL (Structured Query Language) #Business Analysis #Strategy #Data Integration #Quality Assurance #Cloud #Data Pipeline #AWS (Amazon Web Services)
Role description
Job Title: Data Engineer/Architect
Location: New York City, NY; (Onsite – 5 days/week)
Tech skill sets: Data Architecture, Data Modelling, Expert level SQL, Python, AWS Technologies (Glue), Snowflake and data engineering design patterns
Domain: Asset management, Alternatives Investments, Financial Services.
Must Have:
• Alternative investments (private equity, hedge funds, real estate funds)
• Platforms: Investran, eFront, Aladdin, SimCorp, Geneva, Charles River, Advent, Eagle PACE, Bloomberg AIM
Key Responsibilities:
• Lead the data architecture and engineering strategy, ensuring alignment with business and technology roadmaps.
• Design and implement data models, pipelines, and data integration frameworks across multiple platforms.
• Partner with stakeholders to translate business requirements into scalable data solutions.
• Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.
• Drive adoption of best practices in data engineering design patterns and modern cloud architectures.
• Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.
• Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.
• Mentor and guide data engineering teams (onsite & offshore) to deliver high-quality outcomes.
• Ensure compliance with data governance, security, and privacy standards.
• Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.
• Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.
Required Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 8+ years of experience in data engineering with a strong focus on Data Architecture, Data Modelling (Conceptual, Logical, Physical), ELT processes and data pipeline development.
• Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.
• Proficiency in SQL and familiarity with data integration and ETL/ELT tools.
• AWS Technologies (Glue, EMR)
• Python for data engineering workflows
• Strong understanding of data engineering design patterns
• Strong problem-solving skills and the ability to work independently to meet deadlines.
Excellent communication skills for effectively interacting with technical and non-technical stakeholders
Job Title: Data Engineer/Architect
Location: New York City, NY; (Onsite – 5 days/week)
Tech skill sets: Data Architecture, Data Modelling, Expert level SQL, Python, AWS Technologies (Glue), Snowflake and data engineering design patterns
Domain: Asset management, Alternatives Investments, Financial Services.
Must Have:
• Alternative investments (private equity, hedge funds, real estate funds)
• Platforms: Investran, eFront, Aladdin, SimCorp, Geneva, Charles River, Advent, Eagle PACE, Bloomberg AIM
Key Responsibilities:
• Lead the data architecture and engineering strategy, ensuring alignment with business and technology roadmaps.
• Design and implement data models, pipelines, and data integration frameworks across multiple platforms.
• Partner with stakeholders to translate business requirements into scalable data solutions.
• Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.
• Drive adoption of best practices in data engineering design patterns and modern cloud architectures.
• Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.
• Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.
• Mentor and guide data engineering teams (onsite & offshore) to deliver high-quality outcomes.
• Ensure compliance with data governance, security, and privacy standards.
• Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.
• Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.
Required Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 8+ years of experience in data engineering with a strong focus on Data Architecture, Data Modelling (Conceptual, Logical, Physical), ELT processes and data pipeline development.
• Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.
• Proficiency in SQL and familiarity with data integration and ETL/ELT tools.
• AWS Technologies (Glue, EMR)
• Python for data engineering workflows
• Strong understanding of data engineering design patterns
• Strong problem-solving skills and the ability to work independently to meet deadlines.
Excellent communication skills for effectively interacting with technical and non-technical stakeholders
