Lorven Technologies Inc.

Sr Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer in New York, NY, with a contract length of unspecified duration and a pay rate of "unknown." Requires a Bachelor's degree, 12-15 years of experience, strong SQL skills, and expertise in financial services and wealth management.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
June 19, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, United States
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🧠 - Skills detailed
#Cloud #Statistics #AWS (Amazon Web Services) #Data Pipeline #Azure #Data Science #Dataiku #Visualization #SQL (Structured Query Language) #Data Accuracy #Datasets #GCP (Google Cloud Platform) #Data Engineering #Data Modeling #Computer Science #"ETL (Extract #Transform #Load)"
Role description
Hi Our client is looking for a Data Engineer project in New York, NY location below is the detailed requirement, Job Title: Data Engineer Location: New York, NY Job Description: β€’ Bachelor’s degree in Computer Science Data Engineering Statistics or a related field β€’ 12-15 years of experience in data engineering and analytics roles β€’ Strong proficiency in SQL Analytics tools β€’ Proven experience in financial services and wealth management domains with expertise in stock plans financial data Crypto and related business processes β€’ Hands on experience with data warehousing solutions such as β€’ Solid understanding of data modeling architecture and governance principles β€’ Excellent communication and collaboration skills. β€’ Experience with cloud platforms e.g. AWS Azure GCP β€’ Familiarity with Analytics tools such as Dataiku etc β€’ Prior experience working with Wealth Management team. β€’ Collaborate with business stakeholders to define key metrics KPIs and data requirements β€’ Design build and maintain efficient data pipelines and ETL processes to support analytics and reporting β€’ Translate complex datasets into clear business oriented insights and recommendations β€’ Develop and maintain dashboards reports and visualizations β€’ Ensure data accuracy consistency and governance across platforms β€’ Conduct deep dive analyses to uncover trends risks and opportunities β€’ Partner with data scientists product managers and business teams to support strategic initiatives.