ConsultNet Technology Services and Solutions
Graph Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Graph Data Engineer with a contract length of "unknown", offering a pay rate of "unknown". Key skills include Apache Spark (Scala), data modeling, ETL design, and experience with graph databases.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 18, 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
Rockville, MD
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🧠 - Skills detailed
#Databases #Apache Spark #Graph Databases #Data Science #Data Access #Data Engineering #Data Processing #Spark (Apache Spark) #Version Control #Scala #Data Architecture #Data Modeling #"ETL (Extract #Transform #Load)"
Role description
Required Qualifications
• Experience with Apache Spark (Scala preferred)
• Strong understanding of data modeling concepts
• Knowledge of ETL pipeline design and implementation
• Experience with data access, transformation, and data structures
• Familiarity with software development processes and version control
Preferred Qualifications
• Experience with graph data science or graph databases
• Familiarity with orchestration tools such as Dagster
• Exposure to distributed data processing environments
Ideal Candidate
The ideal candidate is detail-oriented, understands scalable data architectures, and enjoys building reliable pipelines that enable data-driven decision-making.
Required Qualifications
• Experience with Apache Spark (Scala preferred)
• Strong understanding of data modeling concepts
• Knowledge of ETL pipeline design and implementation
• Experience with data access, transformation, and data structures
• Familiarity with software development processes and version control
Preferred Qualifications
• Experience with graph data science or graph databases
• Familiarity with orchestration tools such as Dagster
• Exposure to distributed data processing environments
Ideal Candidate
The ideal candidate is detail-oriented, understands scalable data architectures, and enjoys building reliable pipelines that enable data-driven decision-making.
