> Markdown version of [/jobs/ext/3867899-senior-data-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3867899-senior-data-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analytics Engineer - **Company:** Nyla Technology Solutions - **Location:** Annapolis Junction, MD, United States - **Experience:** Expert - **Salary:** $159,000.0 - $188,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Confluence, JIRA, Big Data, Software Quality, Code Review, Collaborative Software, Cyber Security, Computer Programming, Data Discovery, Information Engineering, Data Integrity, Database Queries, Software Debugging, Distributed Data Store, Intelligence Analysis, Python (Programming Language), Linux System Administration, Scrum Methodology, Software Engineering, Software Requirements Analysis, Software Systems, Data Streaming, Data Processing, Scripting, Data Ingestion, Cyber Threat Analysis, Apache Pig, Backend, Git, Pyspark, Integration Tests, Information Technology, Atlassian Tools, Data Analytics, Data Management, Software Version Control, Data Pipelines - **Published:** October 22, 2026 - **Apply:** https://www.thejobnetwork.com/job/828ec87f-237a-4340-bbbd-c022bba99742/senior-data-analytics-engineer ## About the Role Big Data Analytics: Direct, hands-on experience writing and optimizing distributed data analytics using PySpark or Apache Pig. Data Pipeline Ingestion Validation: Proven ability to investigate data flow issues, validate ingestion pipelines, and evaluate software merge requests for data integrity. Software Development Scripting: Strong programming background using Python in Linux environments for data processing and backend automation. Database Querying Modeling: Demonstrated ability to construct complex database queries, schema interfaces, and dataretrieval scripts. Testing Quality Assurance: Experience deriving software requirements, writing unit/integration test procedures, and debugging complex software defects. Version Control: Experience using Git for code reviews, branch management, and collaborative software delivery. 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 High School Diploma / GED, PLUS 11+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree. , Desired Skills Agile / Scrum Methodologies: Direct experience working within an Agile Scrum framework delivering iterative software capabilities. Cybersecurity Tooling: Familiarity with enterprise cybersecurity tools, threat intelligence telemetry, or continuous security monitoring platforms. Agile Tooling: Practical experience with the Atlassian Tool Suite (Jira, Confluence) for task management and documentation. ## Description We have an immediate need for a Data Engineering-focused Software Engineer to join our Data Management practice within an active Scrum environment. In this role, you will help shift legacy security processes into an automated, continuous monitoring framework by engineering distributed analytics, validating data ingestion pipelines, and ensuring national security end-users receive accurate, timely cyber telemetry.