

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
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - 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
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





