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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java Backend Developer - **Company:** Otomeshan technology - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $105,000.0 - $125,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, Cloud Computing, Code Review, Data Transformation, Data Systems, Database Development, DevOps, Distributed Computing Environment, Distributed Systems, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Python (Programming Language), Apache Maven, Enterprise Messaging Systems, Performance Tuning, Standard Sql, Cloudera, SQL Databases, Google Cloud, Cloud Platform System, Snowflake, Apache Spark, Spring-boot, Git, Data Lakes, Kubernetes, Information Technology, Deployment Automation, Apache Kafka, Spark Streaming, Restful APIs, Stream Processing, Data Pipelines, Amazon Elastic Mapreduce (EMR), Docker, Jenkins, Databricks, Programming Languages, Microservices - **Published:** July 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=05dceb327eaee169 ## About the Role · Bachelor's degree in Computer Science, Information Technology, or related field. · 5+ years of Java development experience. · 3+ years of hands-on Apache Spark experience. · Strong proficiency in: o Java 8/11/17 o Apache Spark o Spark SQL o Hadoop Ecosystem (HDFS, Hive) o SQL and Database Development · Experience with: o Spring Boot and Microservices o Kafka or other messaging platforms o RESTful APIs o Git, Maven, Jenkins o Linux/Unix environments · Strong understanding of distributed computing concepts. · Experience tuning and optimizing Spark jobs. Preferred Qualifications · Experience with cloud platforms: o AWS (EMR, S3, Glue, Lambda) o Azure Databricks o Google Cloud Dataproc · Experience with: o Databricks o Delta Lake o Snowflake o Airflow o Kubernetes and Docker · Exposure to Scala or Python. · Banking, Financial Services, Insurance, Retail, or E-commerce domain experience. Technical Skills Programming Languages · Java · SQL · Python (Preferred) · Scala (Preferred) Big Data Technologies · Apache Spark · Spark SQL · Spark Streaming · Hadoop · Hive Cloud & Data Platforms · AWS EMR · Databricks · Snowflake · Delta Lake DevOps & Tools · Git · Jenkins · Maven · Docker · Kubernetes ## Description We are seeking a highly skilled Java Spark Developer with strong experience in designing and developing large-scale distributed data processing applications. The ideal candidate will have expertise in Java, Apache Spark, Hadoop ecosystem, SQL, and Cloud technologies (AWS/Azure/GCP). The candidate will be responsible for building scalable data pipelines, optimizing Spark applications, and collaborating with cross-functional teams to deliver high-performance data solutions., · Design, develop, and maintain scalable big data applications using Java and Apache Spark. · Build and optimize batch and real-time data processing pipelines. · Develop Spark applications using Spark Core, Spark SQL, DataFrames, and Spark Streaming. · Work with large datasets stored in HDFS, Hive, S3, Delta Lake, or Snowflake. · Implement data transformation, cleansing, and aggregation processes. · Optimize Spark jobs for performance, memory utilization, and resource management. · Develop REST APIs and microservices using Spring Boot where required. · Collaborate with Data Engineers, Architects, Business Analysts, and DevOps teams. · Troubleshoot production issues and perform root cause analysis. · Implement CI/CD pipelines and automated deployment processes. · Ensure data quality, security, and compliance with enterprise standards. · Participate in code reviews and follow best coding practices. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Flex your Energy: Building a Cloud-Native Platform for Renewable Energy Communities](https://www.wearedevelopers.com/videos/1990-flex-your-energy-building-a-cloud-native-platform-for-renewable-energy-communities) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [20 Essential Tools For Backend Development](https://www.wearedevelopers.com/magazine/218-20-essential-tools-for-backend-development) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [93 Java Interview Questions You Should Prepare For](https://www.wearedevelopers.com/magazine/14-93-java-interview-questions-you-should-prepare-for)