Graph Data Pipeline Engineer - W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Graph Data Pipeline Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include ETL/ELT pipeline development, graph databases (Neo4j, Amazon Neptune), and proficiency in Python, Scala, or Java. A degree in Computer Science or related field and 4+ years of data engineering experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 11, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#Scala #TigerGraph #Cloud #Data Pipeline #AWS (Amazon Web Services) #Graph Databases #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Computer Science #Data Engineering #Databases #Hadoop #Lambda (AWS Lambda) #Java #Python #Data Processing #AWS Glue #Neo4J #Data Modeling #S3 (Amazon Simple Storage Service) #Amazon Neptune
Role description
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A technology services client of ours is looking for a Graph Data Pipeline Engineer for their ongoing projects.
Below are the additional details of this role:
Required Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 4+ years of experience in data engineering, including building ETL/ELT pipelines.
• Hands-on experience with graph databases such as Neo4j, Amazon Neptune, JanusGraph, or TigerGraph.
• Proficiency in Python, Scala, or Java for data processing and pipeline development.
• Experience with data modeling, particularly in graph theory and network analysis.
• Familiarity with cloud services (e.g., AWS Glue, Lambda, S3, EMR) and distributed data systems (e.g., Spark, Hadoop).
• Strong knowledge of query languages such as Cypher, Gremlin, or SPARQL.
This role can be W2 and open for USC/GC/H1B/EAD resources.
