Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer, requiring US citizenship and a Bachelor's degree in a related field. It offers a contract longer than 6 months with a focus on Azure technologies, data pipelines, and cloud-based data platforms.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 30, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Python #SQL (Structured Query Language) #Data Architecture #"ETL (Extract #Transform #Load)" #Data Quality #Logging #Azure #Computer Science #Data Science #Cloud #Azure Data Factory #Data Pipeline #Big Data #Business Analysis #ADF (Azure Data Factory) #Scala #Synapse #Data Lake #Data Engineering #GitHub #Monitoring #Storage #Metadata
Role description
Senior Data Engineer- US Citizens only We are seeking a Senior Data Engineer to join our team of qualified, diverse individuals supporting a Federal Government customer. Candidates must be able to obtain a Moderate Background Investigation (MBI) clearance - US Citizen and must not have traveled outside the US for a combined total of 6 months or more in the last 5 years. Must have resided in the US for the last 5 years This resource will serve as the authoritative resource for the agency who specializes in preparing big data infrastructure for analytical or operational uses. You will be responsible for designing and creating systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret and enables the agency to make smarter decisions and optimize operations. Primary Responsibilities β€’ Implementing and maintaining scalable data pipelines β€’ Build ingestion and transformation flows in Azure Data Factory β€’ Manages storage structures in Data Lake β€’ Configure Synapse and implement monitoring and alerting. β€’ Collaborate with data architects and business Subject Matter Experts (SMEs) to support operational reporting and data quality. Minimum Qualifications β€’ Must be a US Citizen. β€’ Must have a Bachelor’s degree in Data Engineering, Computer Science, or a related field. β€’ Minimum 8 years of experience in enterprise data architecture, including at least 5 years in designing and deploying cloud-based data platforms (preferably Azure). β€’ Proficiency in Azure Data Factory, Data Lake Gen2, Synapse, and GitHub β€’ Experience implementing monitoring, logging, and alerting pipelines β€’ Strong skills in Python, SQL, and data transformation logic β€’ Familiarity with metadata tagging, sensitivity labeling, and QA frameworks