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# Senior Data Platform Developer

- **Company:** Nyla Technology Solutions
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Apache Accumulo, Artificial Intelligence, Algorithm Design, Batch Processing, Big Data, C++ (Programming Language), Computer Programming, Databases, Computer Engineering, Data Infrastructure, Data Visualization, Relational Databases, DevOps, Python (Programming Language), NoSQL, Performance Tuning, Query Optimization, Tensorflow, Scala (Programming Language), Software Engineering, Data Processing, Pytorch, Delivery Pipeline, Large Language Models, Deep Learning, Git, Containerization, Scikit Learn, Kubernetes, Information Technology, Apache Flink, Cassandra, Apache Kafka, Apache Nifi, Stream Processing, Software Version Control, Docker
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=373a548dea52a1ab

## About the Role

Power scalable data solutions that drive real-world impact! In this role, you will sit at the crossroads of Big Data management, algorithmic development, and visual analytics. You won't just analyze isolated datasets-you'll manage and scale Big Data platforms, write performant code in core programming languages, and engineer prototype algorithms from the ground up. If you thrive on continuously refining models, optimizing large-scale data platforms, and transforming raw, massive datasets into clear, interactive visual dashboards, you'll fit right in with Team Nyla., Big Data Platform Engineering: Direct hands-on experience managing, querying, and optimizing distributed Big Data frameworks (e.g., Apache Spark, Hadoop, Elasticsearch, or AWS EMR).

Programming Proficiency: Strong software engineering background using core programming languages (such as Python, Java, Scala, or C++) for algorithmic creation and data processing.

Algorithm Development & Refinement: Proven track record of developing, tuning, and refining mathematical or statistical algorithms for large-scale data analysis.

Data Visualization: Demonstrated ability to construct clear, dynamic visualizations, charts, and analytics dashboards using custom libraries or BI tools.

Education: Bachelor's Degree in Data Science, Computer Science, Computer Engineering, Applied Mathematics, or a related technical discipline, PLUS 7+ years of professional experience in data science, Big Data engineering, or software development OR Master's Degree in a related field, PLUS 5+ years of relevant professional experience OR High School Diploma / GED, PLUS 11+ years of specialized technical experience in lieu of a degree.
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Desired Skills

Stream & Batch Processing: Experience managing real-time data streaming technologies (e.g., Apache Kafka, Apache NiFi, Flink) within a Big Data ecosystem.
Advanced Machine Learning / AI: Familiarity with modern ML/DL libraries (e.g., PyTorch, TensorFlow, Scikit-learn) and Large Language Models (LLMs).
Database & Query Optimization: Hands-on experience tuning NoSQL (e.g., Accumulo, Cassandra) and relational database queries for high-speed indexing and retrieval.
DevOps & Engineering Practices: Practical experience using version control (Git), containerization (Docker, Kubernetes), and CI/CD deployment pipelines.



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