Ehub Global Inc

Apache Spark Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Apache Spark Developer in McLean, VA, on a contract basis. Requires 8+ years of IT experience, strong Java skills, and hands-on Apache Spark expertise. Familiarity with cloud platforms and big data ecosystems is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Code Reviews #AWS (Amazon Web Services) #SQL (Structured Query Language) #Hadoop #Data Processing #GCP (Google Cloud Platform) #Big Data #Spark (Apache Spark) #Scala #Azure #Apache Spark #Programming #Java #Cloud
Role description
Role: Apache Spark Developer Location: McLean, VA (Onsite) Employment Type: Contract (C2C) Experience: 8+ Years Job Overview We are seeking a highly skilled Spark Developer with a strong Java background to join our team supporting a leading client. The ideal candidate will have hands-on experience in building scalable data processing applications using Apache Spark and core Java. This role is focused on development in Spark and Java. Key Responsibilities • Design, develop, and optimize scalable applications using Apache Spark and Java • Build high-performance data processing pipelines and distributed systems • Collaborate with cross-functional teams to understand business requirements and deliver robust solutions • Write clean, efficient, and maintainable code following best practices • Troubleshoot and resolve performance and scalability issues • Participate in code reviews and ensure code quality standards Required Skills & Qualifications • 8+ years of overall IT experience • Strong hands-on experience with Apache Spark (Core, SQL, DataFrames) • Solid programming expertise in Java • Experience working with large-scale distributed data processing systems • Strong problem-solving and analytical skills • Good understanding of data structures and algorithms Nice to Know • Candidates must be from a development background • Experience with cloud platforms (AWS/GCP/Azure) is a plus • Familiarity with big data ecosystems (Hadoop, Hive, etc.) • Knowledge of performance tuning and optimization in Spark