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# Senior Python Developer

- **Company:** Axelon Services Corporation
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $145,600.0 - $156,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Software Quality, Code Review, Computer Programming, Data Integration, Data Warehousing, Relational Databases, Database Queries, DevOps, Dimensional Modeling, Memory Management, Fault Tolerance, Apache Hadoop, Hadoop Distributed File System, MapReduce, Apache HBase, Apache Hive, Job Scheduling, Python (Programming Language), MongoDB, NoSQL, NumPy, Performance Tuning, Systems Development Life Cycle, SQL Databases, Web Application Frameworks, Apache Zookeeper, Data Processing, Scripting, Data Storage Technologies, Apache Yarn, Apache Spark, Caching, Pandas, Pyspark, Cassandra, Apache Kafka, Spark Streaming, Data Pipelines
- **Published:** October 12, 2026
- **Apply:** https://www.careerjet.com/job/us79c8b958db41d78a0e4736da42bbfadb/eaa

## About the Role

* Expert-level programming skills in Python and PySpark, specifically for developing Spark applications.
 * Experience with PySpark for data processing.
 * Familiarity with data manipulation libraries (Pandas, NumPy).
 * Scripting for automation and data orchestration.
 * Complex query writing, including subqueries, window functions, and performance tuning.
 * Strong proficiency in Spark Core, Spark SQL, Spark Streaming.
 * Experience with Spark performance optimization techniques (e.g., caching, partitioning, shuffle optimizations, memory management).

Preferred Skills:

 * Experience with Spark GraphX.
 * In-depth understanding of HDFS architecture, data storage, and fault tolerance mechanisms.
 * Experience with HDFS commands and administration.
 * Solid understanding of YARN resource management and job scheduling.
 * Fundamental understanding of the MapReduce programming paradigm.
 * Knowledge of Zookeeper for distributed coordination services.
 * Experience with Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
 * Experience with HBase for real-time access to large datasets within Hadoop.
 * Experience with NoSQL databases such as Cassandra, MongoDB, or similar.
 * Familiarity with RDBMS concepts and SQL for data integration.
 * Understanding of dimensional modeling, fact and dimension tables, and star/snowflake schemas.

## Description

* Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications.
 * Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge.
 * Design and implement agentic flows and build autonomous AI agents capable of reasoning, planning, and tool utilization.
 * Enforce industry-standard SDLC best practices and contribute to code quality through comprehensive code reviews.
 * Collaborate effectively with cross-functional teams (Risk, Quants, FO, DevOps, Production Support) to ensure seamless project delivery.
 * Drive development for Stress Testing and Regulatory Risk projects, specifically within the Market Risk domain.
 * Manage project technical aspects, including planning, governance, and taking ownership of initiatives from conception to completion.
 * Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines.