enableIT

Sr. Azure Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Azure Data Engineer, contract length unspecified, with a pay rate of "unknown." Requires expertise in Microsoft Fabric, Databricks, or Snowflake, and experience in financial services. Key skills include Python, ETL, Azure Data Factory, and data modeling.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
720
-
πŸ—“οΈ - Date
May 23, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
Unknown
-
πŸ“„ - Contract
W2 Contractor
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Boston, MA
-
🧠 - Skills detailed
#Data Engineering #PySpark #API (Application Programming Interface) #"ETL (Extract #Transform #Load)" #Python #Data Modeling #Cloud #Spark (Apache Spark) #Azure #Data Architecture #ADF (Azure Data Factory) #JSON (JavaScript Object Notation) #Databricks #Snowflake #Azure Data Factory #Compliance #Data Ingestion #Data Transformations #Data Processing
Role description
About the Role We are seeking a Modern Data Platform Engineer with experience in Microsoft Fabric, Databricks, or Snowflake to support data engineering and cloud-based data platform initiatives. This role focuses on data ingestion, transformation, modeling, and modern data architecture within financial services and asset management environments. Roles & Responsibilities β€’ Build and support modern data platform solutions using Microsoft Fabric, Databricks, Snowflake, or similar technologies. β€’ Develop and maintain data ingestion and transformation pipelines using Python/PySpark. β€’ Perform ETL/ELT data processing and optimized data transformations. β€’ Work with Azure services and Azure Data Factory for cloud-based data ingestion. β€’ Implement API-based data ingestion processes. β€’ Manage and process CSV, JSON, and Parquet file formats. β€’ Work with warehouse and Lakehouse architectures. β€’ Apply data modeling and modern data architecture concepts/patterns. β€’ Implement medallion architecture for data processing workflows. β€’ Support cloud platform engineering and operational activities. β€’ Work within financial services, asset management, and investment compliance environments. Benefits (W2) β€’ Health insurance β€’ Health savings account β€’ Dental insurance β€’ Vision insurance β€’ Flexible spending accounts β€’ Life insurance β€’ Retirement plan EEO Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.