Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "$XX/hour." Key skills include Snowflake expertise, SQL, and ETL tools. Requires 3+ years in data engineering and familiarity with cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Airflow #"ETL (Extract #Transform #Load)" #Monitoring #Clustering #DevOps #Cloud #Scripting #Data Pipeline #Apache Airflow #Python #Compliance #Snowflake #Talend #SQL (Structured Query Language) #Data Engineering #dbt (data build tool) #Azure #Data Architecture #Data Quality #Data Governance #Data Modeling #Security #Scala #AWS (Amazon Web Services) #Documentation #GCP (Google Cloud Platform)
Role description
Key Responsibilities:
• Design and implement scalable data pipelines using Snowflake and other cloud-based data platform technologies.
• Develop and maintain ETL/ELT processes to ingest data from various sources.
• Optimize Snowflake performance through clustering, partitioning, query tuning and materialized views.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across all data platforms.
• Automate data workflows and implement monitoring and alerting systems.
• Maintain documentation for data architecture, processes, and best practices.
• Stay current with Snowflake features and industry trends to continuously improve data infrastructure.
Required Qualifications:
• 3+ years of experience in data engineering or related roles.
• Hands-on experience with Snowflake, including data modeling, performance tuning, and security.
• Proficiency in SQL and scripting languages (e.g., Python).
• Experience with ETL tools (e.g., dbt, Apache Airflow, Talend).
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Strong understanding of data warehousing concepts and best practices.
Preferred Qualifications:
• Snowflake certification(s).
• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of data governance and compliance standards.
• Excellent problem-solving and communication skills.
Key Responsibilities:
• Design and implement scalable data pipelines using Snowflake and other cloud-based data platform technologies.
• Develop and maintain ETL/ELT processes to ingest data from various sources.
• Optimize Snowflake performance through clustering, partitioning, query tuning and materialized views.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across all data platforms.
• Automate data workflows and implement monitoring and alerting systems.
• Maintain documentation for data architecture, processes, and best practices.
• Stay current with Snowflake features and industry trends to continuously improve data infrastructure.
Required Qualifications:
• 3+ years of experience in data engineering or related roles.
• Hands-on experience with Snowflake, including data modeling, performance tuning, and security.
• Proficiency in SQL and scripting languages (e.g., Python).
• Experience with ETL tools (e.g., dbt, Apache Airflow, Talend).
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Strong understanding of data warehousing concepts and best practices.
Preferred Qualifications:
• Snowflake certification(s).
• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of data governance and compliance standards.
• Excellent problem-solving and communication skills.
