Overview
Remote
$70 - $80
Contract - W2
Contract - 12 Month(s)
Skills
PySpark
Apache Airflow
Amazon Web Services
Apache Spark
Cloud Computing
JavaScript Frameworks
Data Processing
Python
SQL
Java
Job Details
We are seeking a Senior Java Cloud Engineer who will support a high-priority project rewriting the backend of a large-scale data processing system. This role focuses on cloud-native architecture and large-scale data processing. You will collaborate with cross-functional teams to design, develop, and mentor junior developers within an Agile environment.
Key Responsibilities
- Build innovative, full-stack solutions using Java and Python that align with business objectives.
- Implement and optimize large-scale data processing workflows using Spark and AWS Glue.
- Contribute to the technology roadmap and architectural decisions for cloud-native applications.
- Create comprehensive unit tests, perform code reviews, and support QA/UAT phases to ensure production stability.
- Participate in all Agile ceremonies, fostering a high-performing team mindset.
Technical Requirements
6+ years of core Java and Python development experience with hands on experience in the following:
- PySpark (DataFrames, SQL, Streaming), Apache Spark, and AWS Glue (performance and cost optimization).
- Git and building CI/CD pipelines (GitLab preferred).
- Angular or modern JavaScript frameworks.
- API infrastructure, SQL, and database management.
Preferred
- Experience with orchestration tools such as Apache Airflow.
- Prior experience in high-security or Federal environments.
Details
- Location: 100% Remote
- Term: 12-Month contract
- Pay Rate: $70 - $85/hr W2
- S. Citizenship Required
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