Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 12+ month contract in Merrimack, NH/Salem, NH (Hybrid). Pay is $70-$75/hour. Key skills include SQL, ETL, Azure, and data warehousing experience. Financial industry experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
600
🗓️ - Date discovered
April 11, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Merrimack, NH
🧠 - Skills detailed
#Consulting #Data Integration #Data Engineering #Cloud #Scala #Business Analysis #Data Strategy #Data Quality #SQL (Structured Query Language) #Azure cloud #Data Analysis #Data Pipeline #Storage #Data Storage #"ETL (Extract #Transform #Load)" #Data Modeling #AI (Artificial Intelligence) #Azure #Data Accuracy #Databricks #Strategy #Data Warehouse #Snowflake #Consul
Role description

Immediate need for a talented Data Engineer. This is a 12+months contract opportunity with long-term potential and is located in Merrimack, NH/Salem, NH(Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID:25-66946

Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Requirements and Technology Experience:

   • Key Skills: Data Warehouse ,SQL ,ETL .

   • Concepts around building data warehousing, data modeling.

   • Must have strong data engineering skills. (SQL, data analysis, ETL, etc)

   • ETL tool will be data factory but any is OK

   • Azure cloud technology.

   • Must have experience architecting, modeling, building and putting into production a data warehouse from POC to finish.

   • Tools and tech are less important than overall experience.

   • Design, develop, and maintain data pipelines and ETL processes to support data integration and transformation.

   • Collaborate with business analysts, data analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.

   • Implement and optimize data models to ensure efficient data storage and retrieval.

   • Work with newer technologies such as Snowflake, Databricks, or Microsoft Fabric to build scalable and robust data solutions.

   • Perform data quality checks and ensure data accuracy and consistency.

   • Monitor and troubleshoot data pipeline issues to ensure data availability and reliability.

   • Stay up-to-date with industry trends and best practices in data engineering and incorporate them into our data strategy.

Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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