SynapOne
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5+ years of experience, focusing on ETL development, Python, SQL, and Snowflake. Contract length is unspecified, with a pay rate of “”. Remote work is available. Strong analytical and communication skills required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 17, 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
Raleigh, NC
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Snowflake #Agile #Monitoring #AWS (Amazon Web Services) #Data Pipeline #Security #Data Engineering #Data Ingestion #AWS S3 (Amazon Simple Storage Service) #Quality Assurance #Data Lifecycle #S3 (Amazon Simple Storage Service) #Python #Data Integration #Cybersecurity #Cloud #Data Quality #DevOps #Data Analysis #SQL (Structured Query Language) #BI (Business Intelligence) #Data Governance #Public Cloud
Role description
We are looking for an experienced Data Engineer with strong expertise in ETL development, data quality assurance, Python, SQL, and Snowflake. The ideal candidate will play a key role in building and maintaining reliable data pipelines while ensuring high data quality for business-critical applications and reporting systems.
Key Responsibilities
• Design, develop, and optimize ETL pipelines.
• Ensure data quality, validation, and integrity throughout the data lifecycle.
• Build and maintain data ingestion processes from secure file transfer services to AWS S3 and Snowflake.
• Monitor, troubleshoot, and resolve data pipeline issues.
• Collaborate with business stakeholders, data analysts, and BI teams to translate business requirements into technical solutions.
• Implement best practices for data governance, quality assurance, and pipeline reliability.
• Support Agile development and continuous improvement initiatives.
Required Skills
✅ 5+ years of Data Engineering experience
✅ Strong experience with Python, PyPI, and SQL
✅ Hands-on experience with ETL development and data quality validation
✅ Experience with Snowflake and AWS S3/Public Cloud platforms
✅ Knowledge of DevOps and secure coding practices
✅ Understanding of cybersecurity principles related to data engineering
✅ Strong analytical, troubleshooting, and communication skills
✅ Ability to convert business requirements into technical solutions
Preferred Experience
• Data integration and pipeline monitoring
• Working in Agile environments
• Supporting enterprise data platforms and reporting systems
We are looking for an experienced Data Engineer with strong expertise in ETL development, data quality assurance, Python, SQL, and Snowflake. The ideal candidate will play a key role in building and maintaining reliable data pipelines while ensuring high data quality for business-critical applications and reporting systems.
Key Responsibilities
• Design, develop, and optimize ETL pipelines.
• Ensure data quality, validation, and integrity throughout the data lifecycle.
• Build and maintain data ingestion processes from secure file transfer services to AWS S3 and Snowflake.
• Monitor, troubleshoot, and resolve data pipeline issues.
• Collaborate with business stakeholders, data analysts, and BI teams to translate business requirements into technical solutions.
• Implement best practices for data governance, quality assurance, and pipeline reliability.
• Support Agile development and continuous improvement initiatives.
Required Skills
✅ 5+ years of Data Engineering experience
✅ Strong experience with Python, PyPI, and SQL
✅ Hands-on experience with ETL development and data quality validation
✅ Experience with Snowflake and AWS S3/Public Cloud platforms
✅ Knowledge of DevOps and secure coding practices
✅ Understanding of cybersecurity principles related to data engineering
✅ Strong analytical, troubleshooting, and communication skills
✅ Ability to convert business requirements into technical solutions
Preferred Experience
• Data integration and pipeline monitoring
• Working in Agile environments
• Supporting enterprise data platforms and reporting systems
