

Data Engineer – Snowflake & Apache Spark (Certified) (Only USC and GC)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Snowflake and Apache Spark, requiring 3+ years of Snowflake experience and 2+ years with Apache Spark. Certifications include SnowPro Core/Advanced and Databricks Certified Associate Developer. Location: Plano, TX (Onsite).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 29, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#Data Pipeline #Data Quality #Version Control #Java #Data Lake #AWS (Amazon Web Services) #Azure #Python #Airflow #Data Processing #Storage #Apache Spark #Data Modeling #Data Architecture #Spark (Apache Spark) #Scala #SnowPipe #GitHub #Databricks #Distributed Computing #Data Engineering #Cloud #PySpark #GIT #Batch #GCP (Google Cloud Platform) #Data Storage #Schema Design #Snowflake #SQL (Structured Query Language)
Role description
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Title- Data Engineer – Snowflake & Apache Spark (Certified)
Visa- USC and GC only
Location- Plano TX (Onsite)
JD
We are seeking a skilled and certified Data Engineer with proven hands-on experience in Snowflake and Apache Spark. The ideal candidate holds a SnowPro Core or Advanced Certification and a Databricks Certified Associate Developer for Apache Spark, demonstrating their expertise in modern data platforms and distributed data processing. This role will involve building scalable data pipelines, optimizing data storage, and enabling real-time and batch data processing.
Required Qualifications:
• Certifications:
• SnowPro Core / Advanced Certification (e.g., SnowPro Advanced: Architect, Data Engineer, etc.)
• Databricks Certified Associate Developer for Apache Spark (latest version preferred)
• Experience:
• 3+ years of experience working with Snowflake, including schema design, query optimization, and Snowpipe/Streams/Tasks.
• 2+ years of hands-on development with Apache Spark (PySpark, Scala, or Java) in Databricks or open-source environments.
• Strong understanding of distributed computing, data lakes, and modern data architectures.
• Technical Skills:
• Proficient in SQL, Spark (RDD/DataFrame APIs), and Python or Scala
• Experience with cloud platforms (AWS, Azure, or GCP), especially integrating Snowflake and Databricks
• Familiarity with data modeling, data quality, and orchestration tools (e.g., Airflow, Prefect)
• Knowledge of CI/CD pipelines and version control (e.g., Git, GitHub Actions)