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Compunnel, Inc.
Java/Python developer w/ data
Career Insights for Java Developer / Engineer
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Scorecard
Based on Massachusetts data
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What they do
A Java Developer or Engineer designs or improves computer software using the JAVA computer programming language. Oversees the JAVA software application development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance.
$119,061 / year median in Massachusetts
-22% projected decline
Job Description
Job Summary We are seeking an experienced software engineering professional with a strong background in scalable, UX-driven applications, distributed systems, data platforms, and modern cloud-native architectures. The ideal candidate will have a minimum of 8 years of strong software engineering experience and deep expertise in REST APIs, microservices, Kubernetes, distributed data processing, and modern data engineering ecosystems. The role requires strong hands-on expertise in Python, Java, Angular, PySpark, Apache Spark, AWS, event-driven technologies, databases, IaC, CI/CD, and DevOps practices, along with exposure to Generative AI technologies including LLMs, RAG, and Agentic AI systems. Required Qualifications
- B.E., B.Tech, M.Tech, MCA, or equivalent degree in Computer Science, Information Technology, or a related field.
- Minimum 8 years of strong software engineering experience.
- Deep expertise in building scalable UX-driven applications and distributed systems architecture.
- Proven experience designing and building scalable REST APIs, microservices, Kubernetes-based solutions, and distributed systems.
- Experience with Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem designs.
- Strong hands-on expertise in Python, Java, and Angular.
- Strong understanding and application of object-oriented design patterns and functional programming.
- Expertise in PySpark and Apache Spark, with proven experience building high-performance distributed data processing solutions.
- Strong experience developing microservices using Kubernetes containerization for eventing and serving.
- Extensive hands-on experience with AWS services including S3, Lambda, API Gateway, and EventBridge.
- Strong experience with messaging and event-driven technologies such as Kafka, SNS, and SQS.
- Strong experience with relational and NoSQL databases, including Postgre
SQL, SQL
Server, Aurora, DynamoDB, MongoDB, and Redis.- Hands-on experience with Infrastructure as Code tools such as Terraform and Ansible.
- Strong understanding of CI/CD and DevOps practices using Jenkins, GitHub/GitLab, Bitbucket, GoCD, and automated deployment pipelines.
- Experience implementing unit, integration, and regression testing strategies.
- Strong critical thinking and analytical skills with the ability to diagnose, troubleshoot, and solve complex technical problems.
- Exposure to Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems. Preferred Qualifications
- Working knowledge of PySpark with Databricks.
- Experience working with Microsoft Azure and/or Google Cloud Platform (GCP).
- Experience building data platforms in privacy-safe environments.
- Experience working with Customer Data Platforms (CDP).
- Experience working in Marketing Technology environments.