EDGE Services, Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer contract position in Vienna, VA, lasting 3-5 years with a pay rate of "unknown." Key skills include SQL, MongoDB, ETL tools, and data governance. A Bachelor’s degree in a related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date
November 5, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Vienna, VA
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🧠 - Skills detailed
#JSON (JavaScript Object Notation) #Data Governance #Data Integration #API (Application Programming Interface) #Databricks #Scala #SQL (Structured Query Language) #C# #Programming #MongoDB #SQL Server #Data Management #"ETL (Extract #Transform #Load)" #Data Integrity #Python #R #Storage #SSIS (SQL Server Integration Services) #Database Systems #Data Quality #Azure SQL #Data Pipeline #Security #Computer Science #Metadata #Azure #Data Engineering #Data Processing
Role description
This is a contract position.
It is a hybrid role with 2 days a week in the office in Vienna, VA.
What will you do in this role?
• Design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage.
• Interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability.
• Apply data governance practices across ETL pipelines, metadata management, security, and lineage tracking.
• Develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques.
• Develop and maintain data pipelines and workflows using Data Factory and SQL Server Integration Services.
• Format data from APIs into SQL servers.
• Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives.
• Design and build data pipelines for data collection, connection, and storage.
• Develop and enforce data engineering policies and best practices to ensure data integrity.
• Proficient in querying MongoDB and integrating data across database systems for efficient data retrieval and processing.
• Ensure data quality and performance at scale.
• Ensure high performance and scalability of data systems and processes.
• Help with the collection, connection, and storage of data.
• Optimize existing data workflows and ensure system reliability.
What skills should you have for this position?
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 3-5 years of experience in data engineering and governance.
• Advanced knowledge of SQL language.
• Advanced understanding of API frameworks and JSON transformations.
• Working experience with data warehousing solutions, ETL tools, and data system design.
• Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.).
• Basic understanding of business and operating environment.
• Knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#).
• Experience with data management, processing and analytic tools (Databricks).
• Experience with data integration and processing tools.
This is a contract position.
It is a hybrid role with 2 days a week in the office in Vienna, VA.
What will you do in this role?
• Design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage.
• Interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability.
• Apply data governance practices across ETL pipelines, metadata management, security, and lineage tracking.
• Develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques.
• Develop and maintain data pipelines and workflows using Data Factory and SQL Server Integration Services.
• Format data from APIs into SQL servers.
• Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives.
• Design and build data pipelines for data collection, connection, and storage.
• Develop and enforce data engineering policies and best practices to ensure data integrity.
• Proficient in querying MongoDB and integrating data across database systems for efficient data retrieval and processing.
• Ensure data quality and performance at scale.
• Ensure high performance and scalability of data systems and processes.
• Help with the collection, connection, and storage of data.
• Optimize existing data workflows and ensure system reliability.
What skills should you have for this position?
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 3-5 years of experience in data engineering and governance.
• Advanced knowledge of SQL language.
• Advanced understanding of API frameworks and JSON transformations.
• Working experience with data warehousing solutions, ETL tools, and data system design.
• Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.).
• Basic understanding of business and operating environment.
• Knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#).
• Experience with data management, processing and analytic tools (Databricks).
• Experience with data integration and processing tools.
