> Markdown version of [/jobs/ext/4455941-senior-data-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/4455941-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:** Peraton Inc - **Location:** Annapolis Junction, MD, United States - **Experience:** Expert - **Salary:** $176,000.0 - $282,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Business Analytics Applications, Big Data, Databases, Extract Transform Load (ETL), Data Mining, Data Visualization, Apache Hadoop, MapReduce, Intelligence Analysis, JSON, Python (Programming Language), Machine Learning, Cloud Services, Software Engineering, Data Streaming, Unstructured Data, Web Applications, Extensible Markup Language (XML), Scripting, Apache Spark, Generative AI, Kubernetes, Information Technology, Data Analytics, Apache Nifi, Data Management - **Published:** October 22, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9263870/senior-data-analytics-engineer ## About the Role * Analytic development experience using scripting languages such as Python and Scala to use statistical libraries against data * Skilled with big data processing frameworks such as Pig, MapReduce and Spark to scale algorithms over large volumes of data * Experience employing combination (2 or more) of analysis, computer science, mathematics, and software engineering skills to devise strategies for extracting meaning and value from large datasets * Experience with predictive analytics, machine learning, and data mining * Skilled with data flows, Pig scripting, Hadoop MapReduce, and various analytic tools * Skilled working with development and SE teams, other stakeholders agencies, and leadership * Knowledge of data indexing and analytic development * Experience working with cloud service providers and data stewards * Demonstrated experience in network metadata processing, manipulation, and analysis in support of intelligence analysis Highly Desired Skills: * JAVA/Python * Analytic development experience * Working knowledge of NIFI, Basic Requirements: * Active TS/SCI with current polygraph required * At least eight (8) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution * Bachelor's degree in technical discipline from an accredited college or university is highly desired * A relevant bachelor's degree will be considered equivalent to two (2) years of experience. At least one of the following certifications: * AWS Certified Developer - Associate * AWS Certified Machine Learning Engineer - Associate * AWS Certified Generative AI Developer - Professional * AWS DevOps Engineer - Professional * Certified Kubernetes Application Developer (CKAD) ## Description Project Description: * The team supports a suite of web-based applications that automate data management for IC data custodians. * The products facilitate the capture of information and approvals that allow for the movement of data through the customer mission space in a compliant manner. * These products are critical to standardize and simplify data movement as well as data reuse and integration with downstream tools., * The team is looking for someone that is knowledgeable with data enrichment/conversion methods, familiar with data ontologies/schemas, strong knowledge of structured data types (XML, CSV, JSON), and has database experience. * Devise strategies to extract meaning and value from structured and unstructured data * Leverage statistical methods and/or machine learning to discover patterns and behaviors of entities * Use query and visualization tools, such as DataXplorer and GMAE, to present question focused datasets in a story-like manner * Work with various domains of metadata to develop new methodologies and techniques for automated data characterization * Analyze and develop requirements to support the characterization and ingestion of new and existing data types * Collaborate with customer teams to understand direct mission needs and requirements * Collaborate with customer teams to understand mission needs