Java Developer, Spark

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🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

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Global Alliant Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

🏛️ Government

Artificial Intelligence • Enterprise • Government

Global Alliant Inc. is an award-winning information technology consulting and software development company based in Maryland. With expertise in AI, machine learning, and cloud solutions, they empower federal and state agencies to tackle complex challenges efficiently. Their services include agile practices, DevSecOps, data analytics, and AI-driven digital transformation. They have a proven track record in enhancing efficiency and security for government agencies through innovative IT solutions, exemplified by projects such as improving NOAA's data processing and automating HRSA's workload. Their focus on agile methodologies and security integration supports consistent, impactful results.

📋 Description

• Design, code, and maintain applications and data processing solutions using Java, Kotlin, Scala, and Apache Spark. • Design and implement data loading and transformation for large datasets. • Process data in various formats and compression codecs. • Use Spark SQL, DataFrames, and Datasets for efficient data manipulation and querying within Spark applications. • Optimize Spark applications, including tuning configurations, managing memory, and fine-tuning data serialization and task partitioning.

🎯 Requirements

• 5+ years of professional software engineering experience, with a strong focus on JVM-based development and large-scale data processing solutions. • Hands-on experience developing applications using Java and Kotlin, with a solid understanding of object-oriented and functional programming concepts. • Practical working knowledge of Scala, including familiarity with commonly used Scala libraries, frameworks, and development practices. • Strong experience designing, developing, and maintaining Apache Spark-based data pipelines and processing jobs. • Proficiency with Spark SQL, DataFrames, distributed data processing, and performance optimization for high-volume data workloads. • Solid understanding of big data engineering principles, distributed computing models, and scalable application design. • Strong SQL skills and experience working with relational database systems. • Experience building or supporting cloud-based data solutions within AWS environments. • Familiarity with version control and collaborative development workflows using Git or similar tools.