Tandym Group

Data Analytics Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analytics Engineer with a contract length of "unknown" and a pay rate of "unknown." It requires proficiency in data warehouses, SQL, ETL workflows, and familiarity with crypto markets, plus a certification in Data Analytics/Engineering. Hybrid work setting.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
February 12, 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
Stamford, CT
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Databases #AI (Artificial Intelligence) #Data Engineering #Data Warehouse #Documentation #Visualization #Datasets #SQL (Structured Query Language) #Semantic Models #Data Pipeline #Automation
Role description
A recognized financial services organization in Connecticut is actively seeking a new Data Analytics Engineer to build and maintain data foundations that power decision-making across the firm, encompassing analytics, data engineering, and automation. About the Opportunity: Schedule: Monday to Friday Hours: Standard business Setting: Hybrid (Tuesday to Thursdays onsite) Responsibilities: Define and standardize key metrics, data definitions, and reporting logic Identify data gaps and recommend process improvements Build and maintain data pipelines from various systems Design and maintain analytical layers and documentation Develop and operate ETL/ELT workflows with rigorous validation Qualifications: Proficiency with Data Warehouses and designing datasets for analytics Familiarity with SQL and experience with relational databases Experience building and maintaining ETL/ELT workflows Experience integrating data via APIs Demonstrated ability to build dashboards and visualizations Familiarity with crypto markets and on-chain analytics Experience with metric layers, semantic models, and documentation Practical AI fluency with strong validation habits Desired Skills: Certification in Data Analytics and/or Engineering Advanced skills with SQL