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2 results for Cloud Computing Analyst in Washington, DC
- Herndon, VA
- onsite
- Permanent / Full Time
- 140000 - 150000 USD / Yearly
- We are looking for a Senior Data Analytics Engineer to help shape and scale modern data capabilities for a real estate and property organization in Reston, Virginia. This role focuses on designing reliable data pipelines, structuring analytical datasets, and enabling high-quality reporting and advanced insights across the business. The ideal candidate brings strong engineering depth, practical analytics expertise, and the ability to turn business needs into well-architected data solutions.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that ingest, transform, and deliver trusted datasets for analytics and operational use.<br>• Develop curated data layers using medallion-style architecture to improve data quality, accessibility, and consistency across the platform.<br>• Create and optimize dimensional models, including fact and dimension structures, to support reporting, trend analysis, and business intelligence needs.<br>• Use Python, PySpark, SparkSQL, and notebook-based development environments to engineer efficient data processing workflows.<br>• Partner with business and technical stakeholders to gather requirements and translate them into practical data products and analytics solutions.<br>• Apply data governance, security, and enterprise data management standards to protect information and support compliant data usage.<br>• Contribute to collaborative development practices through version control, code review, and shared engineering standards using Git.<br>• Support advanced analytics initiatives by preparing data foundations that can be used for machine learning and AI-driven use cases.
- 2026-06-02T00:00:00Z
- Washington, DC
- onsite
- Temporary / Contract
- 55 - 60 USD / Hourly
- <p>Data Engineer – Databricks / Azure / AI Analytics</p><p><br></p><p>You must be able to obtain and maintain a public trust clearance,</p><p><br></p><p>Position Overview</p><p>We are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.</p><p>The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul><p>Cloud & Platform Integration</p><ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul><p>Data Management & Optimization</p><ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul><p>Platform Operations & Support</p><ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul><p>DevOps & Automation</p><ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>
- 2026-06-02T00:00:00Z