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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Power BI Developer - **Company:** Marathon TS Inc - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Confluence, JIRA, Microsoft Azure, Big Data, BigQuery, Cloud Storage, Databases, Data Transformation, Data Warehousing, Software Debugging, Linux, DevOps, Github, Design of User Interfaces, PostgreSQL, Microsoft SQL Server, MongoDB, MySQL, Cisco Nexus Switches, NoSQL, Oracle (Applications), Query Optimization, Red Hat Enterprise Linux, Power BI, Test Data, Transact-SQL, VirtualBox, Software Vulnerability Management, Google Cloud, Snowflake, Git, Containerization, Google Bigquery, Nessus, Bitbucket, Looker Analytics, Docker, Databricks, Vulnerability Analysis, Vmware - **Published:** July 1, 2026 - **Apply:** https://www.clearancejobs.com/jobs/7702441/power-bi-developer ## About the Role * US Citizenship and the ability to obtain and maintain a federal Public Trust Clearance. * 5+ Years of experience within the Google BigQuery (primary) or equivalent (Snowflake, DataBricks) environments. * Ability to analyze, troubleshoot, and resolve large data issues in a complex data environment. * Experience with Linux (RHEL preferred). * Debugging experience (code, script, database). * Team player that fully embraces innovative thinking, eliminating barriers, and DevOps culture. * Hands on experience with BigQuery and Looker BI Tools. What Would Be Nice To Have : * PostgreSQL or equivalent (MySQL, MS SQL Server, Oracle) on Linux (preferred). * T-SQL query optimization (analyzing explain plans, index management). * Hands on experience with BigQuery deployment environments. * Experience with Cloud Storage. * GCP Certification. * Experience in supporting and maintaining Looker environments. * Test data generation and database benchmarking experience. * Large scale data experience. * NoSQL Database management (Mongo DB) experience . * Experience with containerization (Docker) * Nexus - Artifact Repository experience. * VMware or VirtualBox experience. * Bitbucket (Git) experience. * Experience in working with cloud platforms (AWS, Google Cloud, Azure, etc.). * Understanding of security scanning/vulnerability remediation (Nessus, Retina, etc.) * Effective verbal and written communication skills. * Government or large organization experience with working knowledge of JIRA, Confluence and other Agile work management tools. ## Description Marathon TS is looking for a BI Develoepr that will be working in a GCP environment bringing strong BigQuery and large data experience. Supporting and developing BigQuery BI Platform. Designing data models, data transformations, ingestion from external data sources, and creating performance capabilities for dashboarding and reporting needs on the program. Expanding existing reporting and analytics functionality and performance. Working in a fast-paced innovative environment., * Design and maintain new data models within BigQuery. * Collaborate with data team to migrate existing transformations, data warehouse, and reporting from legacy tools to BigQuery, and Looker. * Leverage GitHub and pipelines to promote and deploy artifacts. * Work with report developers and data scientists to support team needs for BigQuery and Looker product development. * Document technical improvements, and structures. * Leverage UI/UX designs and incorporate them into development efforts. * Work closely with a team of systems, data, and analytics-oriented individuals. * Work with data, development, and systems architects. * Review vulnerability scans and remediate vulnerabilities in addition to participating in periodic security audits. * Coordinate with multiple teams to continually improve the delivery of products to customers. * Maintain and drive the modernization of legacy applications, tools, and systems. * Design, implement, and ensure quality and security controls are met. * Prioritize work based on customer priorities and complete tickets in a timely manner. ## Related Videos - [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) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Making Data Warehouses fast. 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