Jobs via Dice

Senior Data Engineer / Analytics Engineer for Private Wealth Technology

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer / Analytics Engineer in Private Wealth Technology, hybrid in New York, NY. Contract length is unspecified, with a pay rate of $61.25-$87.50 per hour. Requires 6–8 years of experience, SQL proficiency, and cloud data pipeline expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
696
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🗓️ - Date
May 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Data Ingestion #Deployment #Data Architecture #AI (Artificial Intelligence) #Data Pipeline #Automation #Data Warehouse #Data Management #Data Engineering #"ETL (Extract #Transform #Load)" #Scripting #CRM (Customer Relationship Management) #Security #Data Quality #SQL (Structured Query Language) #Cloud
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Mitchell Martin, Inc., is seeking the following. Apply via Dice today! Title: Senior Data Engineer / Analytics Engineer for Private Wealth Technology Location: New York, NY - Hybrid Position Type: Contract Compensation Pay Range:$61.25-$87.50 Per Hr Description This role involves working in a hybrid setting in New York, NY, blending onsite and remote work. As a contract position, the incumbent will be responsible for managing data architecture, developing data pipelines, and ensuring data quality for private wealth technology. The role requires proficiency in data management and transformation technologies. Key Responsibilities Manage and optimize data architecture and modeling strategies. Collaborate with application engineers to integrate data with backend services and APIs. Contribute to the development of CI/CD workflows and deployment standards. Design and maintain data ingestion pipelines and ensure their reliability. Ensure data quality, governance, and security across platforms. Qualifications 6–8 years of experience in data engineering or data architecture. Proficient in SQL for analytical modeling and performance tuning. Strong experience with data transformation and automation using scripting languages. Experience in building and managing data pipelines in cloud environments. Familiarity with CRM data ecosystems is a plus. Core Technologies Cloud-based Data Warehouse | SQL | Scripting Languages | Data Pipeline Tools Contact Authorization By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here Onboarding Expectations Learn more about our Onboarding Process here EEO Statement Learn more about our EEO policy here