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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** M9 Solutions - **Location:** Vienna, VA, United States - **Salary:** $60,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Big Data, Collaborative Software, Databases, Data Dictionary, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Stores, DevOps, Distributed Computing Environment, Amazon DynamoDB, Elasticsearch, Push Technology, Java Message Service (JMS), Python (Programming Language), PostgreSQL, MongoDB, Object-Oriented Software Development, Open Source Technology, Raw Data, Redis, Software Tools, Amazon Simple Notification Service (SNS), SQL Databases, Data Streaming, Scripting, Cloud Platform System, AWS Lambda, Pandas, Pyspark, Kubernetes, Atlassian Tools, Apache Kafka, Apache Nifi, Data Management, 3-tier Architectures, Data Delivery, Amazon Simple Queue Service (SQS), Data Pipelines, Docker, Server Operating Systems & Platforms, Amazon Redshift - **Published:** June 4, 2026 - **Apply:** https://diversityjobs.com/career/16163018/Data-Engineer-Maryland-Bethesda ## About the Role * Top Secret SCI security clearance. * Bachelor's degree or equivalent practical experience. * Expertise in distributed computing frameworks to handle large-scale data processing. * Familiarity with working with Amazon Web Services (AWS) or any other cloud environments. * Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch, and SQL. * Proficient in utilizing Python with key libraries like pandas and PySpark, NiFi, Airflow, AWS Lambda, or similar technologies. * Working knowledge of software platforms and services, such as Docker, Kubernetes, JMS/SQS, SNS, and Kafka. * Familiar with Linux/Unix server environments. * Experience with Agile development methodology. * Publishing and/or presenting design reports. * Coordinating with other team members to reach project milestones and deadlines. * Working knowledge of Collaboration tools, such as Jira and Confluence., * Master's degree or equivalent experience in a related field. * Familiarity and experience with the Intelligence Community and the intel cycle. * Experience with cloud message APIs and usage of push notifications. * Keen interest in learning and using the latest software tools, methods, and technologies to solve real-world problem sets vital to national security. * Working knowledge of public keys and digital certificates. * Experience with DevOps environments. * Expertise in various COTS, GOTS, and open source tools that support the development of data integration and visualization applications. * Experience with cloud message APIs and usage of push notifications. * Specialization in object-oriented programming languages, scripting, and databases. ## Description * Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. * Develop and design data pipelines to support an end-to-end solution. * Develop and maintain artifacts (e.g., schemas, data dictionaries, and transforms related to ETL processes). * Integrate data pipelines with AWS cloud services to extract meaningful insights. * Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues. * Design and develop robust and functional data flows to support raw data and expected data. * Provide Tier 3 technical support for deployed applications and dataflows. * Define and communicate a clear product vision for the client's software products, aligning with user needs and business objectives. * Create and manage product roadmaps that reflect both innovation and growth strategies. * Partner with a government product owner and a product team of 7 - 8 full-time employees. * Collaborate with the rest of the data engineering team to design and launch new features. * Coordinate and document dataflows, capabilities, etc. * Occasionally (as needed) support for off-hours deployment, such as evenings or weekends. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - 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