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# Principal Data Processing Engineer

- **Company:** Nyla Technology Solutions
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $199,000.0 - $235,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Airflow, Confluence, JIRA, Bash Shell, Big Data, Data Discovery, Data Transformation, Data Transport Utility, Relational Databases, Linux, Distributed Computing Environment, Data Flow Control, Intelligence Analysis, JSON, Job Scheduling, Python (Programming Language), PostgreSQL, MariaDB, MySQL, NumPy, Software Engineering, SQL Databases, Workflow Management Systems, Extensible Markup Language (XML), Jupyter Notebook, Parquet, Data Processing, High Performance Computing, Apache Spark, Pandas, Information Technology, Atlassian Tools, Data Analytics, Slurm, Software Version Control
- **Published:** October 22, 2026
- **Apply:** https://www.thejobnetwork.com/job/c7a50357-c948-4c50-af6b-b90e02d02f1e/principal-data-processing-engineer

## About the Role

Distributed Processing: Extensive experience with distributed Big Data processing engines, specifically Apache Spark.

Software Development: Recent, hands-on software development experience using both Python and Java.

Workflow Orchestration: Practical experience using Apache Airflow (DAG design, scheduling, operators, and sensors) for workflow management.

Data Wrangling Formats: Hands-on experience with data manipulation tools (pandas, NumPy, Jupyter Notebook) and working with formats including Parquet, JSON, CSV, and XML.

SQL Technologies: Familiarity with relational database technologies (MySQL, MariaDB, PostgreSQL) for querying, joining, and aggregating large datasets.

Data Quality: Familiarity with data quality principles, automated validation methods, and anomaly detection strategies.

Linux Automation: Strong operational experience with the Linux CLI, standard utilities, and writing Bash scripts for process automation.

Version Control: Proficiency with Git source control workflows.

Education: Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 7+ years of specialized data analytics or financial intelligence experience OR Master's Degree in a related field, PLUS 5+ years of specialized analytical experience OR High School Diploma / GED, PLUS 9+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.

, Desired Skills

HPC Scheduling: Familiarity with High-Performance Computing (HPC) job scheduling tools such as Slurm.

Agile Tooling: Practical experience using the Atlassian Tool Suite (Jira, Confluence) for collaborative tracking and documentation.

## Description

We have an immediate need for a Software Engineer with extensive expertise in dataflow design, data transport mechanisms, and Apache Spark distributed processing. In this high-impact role, you will be responsible for designing, implementing, and optimizing end-to-end data ingress and egress pathways. You will ensure the efficient, scalable, and highly reliable processing of enterprise-scale analytics workloads while maintaining strict data quality and system integrity.