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." Requires a Bachelor’s degree, 8 years of experience in data architecture, and proficiency in Azure Data Factory, Python, and SQL. Security clearance is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 27, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Yes
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Big Data #Cloud #Logging #Security #Storage #ADF (Azure Data Factory) #Data Architecture #Azure Data Factory #Computer Science #Business Analysis #SQL (Structured Query Language) #Data Quality #Data Engineering #Synapse #Monitoring #GitHub #Azure #Data Science #Python #Scala #"ETL (Extract #Transform #Load)" #Metadata #Data Lake #Data Pipeline
Role description
Note : (Must obtain security clearance)
Job Description
We are seeking a Senior Data Engineer to join our team of qualified, diverse individuals supporting a Federal Government customer.
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:
· Implementing and maintaining scalable data pipelines
· Build ingestion and transformation flows in Azure Data Factory
· Manages storage structures in Data Lake
· Configure Synapse and implement monitoring and alerting.
· Collaborate with data architects and business Subject Matter Experts (SMEs) to support operational reporting and data quality.
Minimum Qualifications
· Must have a Bachelor’s degree in Data Engineering, Computer Science, or a related field.
· Minimum 8 years of experience in enterprise data architecture, including at least 5 years in designing and deploying cloud-based data platforms (preferably Azure).
· Proficiency in Azure Data Factory, Data Lake Gen2, Synapse, and GitHub
· Experience implementing monitoring, logging, and alerting pipelines
· Strong skills in Python, SQL, and data transformation logic
· Familiarity with metadata tagging, sensitivity labeling, and QA frameworks
Note : (Must obtain security clearance)
Job Description
We are seeking a Senior Data Engineer to join our team of qualified, diverse individuals supporting a Federal Government customer.
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:
· Implementing and maintaining scalable data pipelines
· Build ingestion and transformation flows in Azure Data Factory
· Manages storage structures in Data Lake
· Configure Synapse and implement monitoring and alerting.
· Collaborate with data architects and business Subject Matter Experts (SMEs) to support operational reporting and data quality.
Minimum Qualifications
· Must have a Bachelor’s degree in Data Engineering, Computer Science, or a related field.
· Minimum 8 years of experience in enterprise data architecture, including at least 5 years in designing and deploying cloud-based data platforms (preferably Azure).
· Proficiency in Azure Data Factory, Data Lake Gen2, Synapse, and GitHub
· Experience implementing monitoring, logging, and alerting pipelines
· Strong skills in Python, SQL, and data transformation logic
· Familiarity with metadata tagging, sensitivity labeling, and QA frameworks
