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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Pipeline & Network Analytics Engineer - **Company:** Nyla Technology Solutions - **Location:** Annapolis Junction, MD, United States - **Experience:** Expert - **Salary:** $152,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Big Data, Network Analysis, Collaborative Software, Communications Protocols, Complex Networks, Computer Networks, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Distributed Data Store, Data Flow Control, Python (Programming Language), Enterprise Messaging Systems, Network Protocols, Data Processing, Apache Spark, Cyber Threat Analysis, Git, Information Technology, Apache Kafka, Apache Nifi, Stream Processing, Software Version Control, Data Pipelines - **Published:** July 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=af4457c373c6be65 ## About the Role Ready to turn massive datasets into actionable intelligence? In this role, you'll own large-scale data flows using Python and Spark while applying deep network protocol expertise. Bring your data processing skills and let's achieve more together! In this role, you will bridge the gap between complex network traffic and high-impact data science. You'll leverage Python and Apache Spark to interrogate massive datasets, dissect intricate protocol behaviors, and refine large-scale dataflows. If you thrive on wrestling with big data, analyzing continuous network events, and shaping raw telemetry into high-value insights, you'll fit right in with Team Nyla., Big Data & Analytics: Demonstrated hands-on experience working comfortably with massive, large-scale datasets using Apache Spark. Python Development: Advanced proficiency with Python for data manipulation, statistical modeling, and pipeline development. Network & Protocol Analysis: Strong background in network communications, packet-level analysis, and a deep technical understanding of network protocols. Data Processing Concepts: Practical understanding of data architecture, batch and stream processing, and querying multi-source data environments. Education: Bachelor's Degree in Data Science, Computer Science, Network Engineering, or a related technical discipline, PLUS 7+ years of professional experience in data science, network analysis, or data engineering OR Master's Degree in a related field, PLUS 5+ years of professional experience OR High School Diploma / GED, PLUS 11+ years of relevant hands-on technical experience in lieu of a degree., ETL Architecture: Hands-on experience constructing, optimizing, and maintaining complex ETL pipelines and continuous dataflow mechanisms. Stream & Pipeline Engineering: Familiarity with messaging platforms like Apache Kafka, Apache NiFi, or distributed storage systems. Advanced Cyber Analytics: Practical experience creating specialized telemetry models or threat-hunting analytics from network metadata. Agile Software Development: Experience with version control systems (Git), continuous integration/continuous deployment (CI/CD) pipelines, and collaborative software practices. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)