Job Title: Senior Hadoop Developer Location: Jacksonville, FL (Hybrid – 2 days/week onsite) Rate: $60–$65/hr on W-2 (No C2C) Position Overview: We are seeking a Senior Hadoop Developer to design, build, and support scalable big data solutions, focusing on ingestion pattern development and Spark-based orchestration. You’ll play a critical role in managing large-scale data workflows, collaborating across teams to ensure efficient data ingestion, processing, and validation. Key Responsibilities: • Design and implement modern ingestion patterns using Spark, ensuring scalability and performance • Build and maintain JARs for file parsing (CSV, JSON, Avro, Parquet) and writing to Iceberg • Integrate ingestion frameworks with Recon and CDC tools for seamless data validation and real-time processing • Collaborate with engineers, data scientists, and business teams to align ingestion solutions with broader architecture • Perform code reviews, maintain quality standards, and lead troubleshooting and optimization efforts • Participate in unit testing, documentation, deployment, and lifecycle management Must-Have Skills & Experience: • 5+ years working within the Hadoop ecosystem (HDFS, Spark, Hive) • Strong hands-on experience with Spark (Scala/Java) • Proficiency in Java and/or Scala • Experience with Apache Iceberg and data warehousing concepts • Familiarity with Change Data Capture (CDC) tools and Recon frameworks • Experience building and deploying JARs • Strong understanding of ingestion patterns, data validation, and quality processes Additional Requirements: • Strong analytical, problem-solving, and debugging skills • Familiarity with SDLC and Agile environments • Excellent verbal and written communication • Ability to work independently and within a cross-functional team • Proficiency with tools like Git, Visio, and MS Office Suite Preferred Technical Stack: • Languages/Tools: Spark, Scala, Python, Java • Frameworks: Iceberg, CDC tools, Recon Frameworks • Platforms: Hadoop (HDFS), Hive Education: • Bachelor’s degree in Computer Science, Information Systems, or related field — or equivalent work experience