SIMARN Solutions

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown" and a pay rate of "unknown". It requires 3+ years of experience with Matillion ETL, dbt, Snowflake, and Azure Data Services, plus prior experience in the Health Insurance domain. Remote work in Rhode Island.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Rhode Island, United States
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #SQL Server #Data Quality #Azure #Data Engineering #Cloud #Azure ADLS (Azure Data Lake Storage) #Data Warehouse #Schema Design #Normalization #SQL (Structured Query Language) #Data Lake #Storage #Snowflake #dbt (data build tool) #ADLS (Azure Data Lake Storage) #Matillion #EDW (Enterprise Data Warehouse) #Azure SQL
Role description
Job Title: Lead Data Engineer Location: Rhode Island (Remote) Please note that this role is open to U.S. Citizens (USC) and Green Card (GC) holders only. We welcome both C2C and direct W2 engagements. We are looking for a highly skilled Data Engineer / ETL Developer with strong hands-on experience in modern ETL/ELT tools and cloud data platforms. Role Requirements (Mandatory) • 3+ years of hands-on experience with Matillion ETL for designing and building ETL/ELT pipelines • 3+ years of hands-on experience with dbt (data build tool) for transformation and analytics engineering • 3+ years of experience working with Snowflake as a cloud-based data warehouse • 3+ years of experience with Azure Data Services, including: • Azure Data Lake Storage (ADLS) • Azure SQL Server (Managed and Non-Managed) • Strong understanding of modern ETL/ELT concepts, trends, and best practices • 5+ years of data warehousing experience, including: • Star Schema and Snowflake schema design • Normalization and Denormalization • Aggregations and performance optimization • Data quality, validation, and reconciliation • Prior experience in the Health Insurance domain is required • Excellent interpersonal, written, and verbal communication skills Nice to Have • Experience working on large-scale enterprise data warehouse projects • Strong analytical and problem-solving abilities