Insight Global

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a 6-month contract, offering a pay rate of "X" per hour. Key skills include Azure, Databricks, SQL, and Python. Experience in big data pipelines and data transformation is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date
January 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Egg Harbor, NJ
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🧠 - Skills detailed
#Data Pipeline #Metadata #Databricks #Databases #Azure #Python #Big Data #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Data Quality #Data Processing #Data Engineering #SQL (Structured Query Language)
Role description
Required Skills & Experience • Experience working with enterprise technology in Azure and Databricks • Designing, building, and optimizing big data data pipelines, and data sets • SQL knowledge and experience with relational databases, query authoring (SQL), and Python experience • Root cause analysis on internal and external data processing related issues • Experience supporting data transformation, data structures, metadata, dependency, and workload management. Job Description One of Insight Global's retail clients is searching for a Data Engineer who will play a crucial role in driving actionable insights that support business strategies. They will manage and develop data pipelines, partnering closely with stakeholders to address technical issues and ensure operational efficiency within Business Intelligence and data teams. Collaborating with data and analytics experts, they optimize data systems, analyze and enhance organizational data footprints, and contribute to data quality initiatives. • Develop and manage data pipelines to support business strategies through actionable insights into business performance, operational efficiency, and other key business performance metrics • Partner with business stakeholders to assist with data-related technical issues and support Business Intelligence and data teams operational requirements • Work with data and analytics experts to strive for greater functionality, traceability and cross functional cohesion in our data systems