Snowflake Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Engineer in Richmond, Virginia, with a contract length of "unknown" and a pay rate of "unknown." Requires 5-10 years of data engineering experience, strong skills in PySpark, Scala, Python, and familiarity with cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Richmond, VA
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🧠 - Skills detailed
#Data Pipeline #Computer Science #Datasets #Python #Data Science #Azure #Agile #Kafka (Apache Kafka) #GCP (Google Cloud Platform) #Spark (Apache Spark) #Consulting #Snowflake #Data Engineering #SQL (Structured Query Language) #PySpark #Hadoop #Big Data #Programming #Cloud #"ETL (Extract #Transform #Load)" #S3 (Amazon Simple Storage Service) #Scala #Data Ingestion #Version Control #GIT #Kubernetes #AWS (Amazon Web Services) #Data Governance #Distributed Computing #Docker #Code Reviews #Security #Data Modeling #Data Processing #Data Quality #Databricks #Scrum
Role description
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description
Job Title : Snowflake Data Engineer
Job Type : W2
Experience : 5-10 Years
Location : Richmond, Virginia
Responsibilities
• A minimum of 5 years of experience in Data engineering.
• Strong programming experience with PySpark, Scala, and Python.
• Hands-on experience in Spark-based data processing on large datasets.
• Experience with distributed computing frameworks (e.g., Hadoop, Spark).
• Solid understanding of data warehousing concepts, data modeling, and ETL development.
• Experience with SQL and performance tuning for large-scale datasets.
• Familiarity with cloud platforms (AWS, Azure, GCP) and services like S3, EMR, Databricks, or equivalent.
• Good knowledge of version control systems like Git and CI/CD pipelines.
• Knowledge of Docker, Kubernetes, or similar container technologies.
• Experience working in Agile/Scrum environments.
• Design, develop, and maintain scalable ETL/ELT data pipelines using PySpark, Scala, and Python.
• Work with big data technologies and frameworks such as Hadoop, Spark, Hive, and Kafka.
• Develop, deploy, and maintain efficient data ingestion and transformation logic for structured and unstructured data.
• Optimize the performance of large-scale data processing applications.
• Collaborate with Data Scientists, Analysts, and Business Stakeholders to understand data requirements.
• Ensure data quality, data governance, and security standards are adhered to.
• Participate in code reviews and provide constructive feedback.
• Monitor pipeline health, performance, and proactively address issues.
Education
• Bachelor's degree in Computer Science or related field.
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description
Job Title : Snowflake Data Engineer
Job Type : W2
Experience : 5-10 Years
Location : Richmond, Virginia
Responsibilities
• A minimum of 5 years of experience in Data engineering.
• Strong programming experience with PySpark, Scala, and Python.
• Hands-on experience in Spark-based data processing on large datasets.
• Experience with distributed computing frameworks (e.g., Hadoop, Spark).
• Solid understanding of data warehousing concepts, data modeling, and ETL development.
• Experience with SQL and performance tuning for large-scale datasets.
• Familiarity with cloud platforms (AWS, Azure, GCP) and services like S3, EMR, Databricks, or equivalent.
• Good knowledge of version control systems like Git and CI/CD pipelines.
• Knowledge of Docker, Kubernetes, or similar container technologies.
• Experience working in Agile/Scrum environments.
• Design, develop, and maintain scalable ETL/ELT data pipelines using PySpark, Scala, and Python.
• Work with big data technologies and frameworks such as Hadoop, Spark, Hive, and Kafka.
• Develop, deploy, and maintain efficient data ingestion and transformation logic for structured and unstructured data.
• Optimize the performance of large-scale data processing applications.
• Collaborate with Data Scientists, Analysts, and Business Stakeholders to understand data requirements.
• Ensure data quality, data governance, and security standards are adhered to.
• Participate in code reviews and provide constructive feedback.
• Monitor pipeline health, performance, and proactively address issues.
Education
• Bachelor's degree in Computer Science or related field.
