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# Sr. Data Analytics Developer

- **Company:** Guidehouse Inc.
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $75,200.0 - $112,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Cloud Database, Information Systems, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Decision Support Systems, Machine Learning, Software Tools, Enterprise Data Management, Data Ingestion, Data Layers, Information Technology, Data Analytics, Free and Open-Source Software, Data Pipelines, Devsecops
- **Published:** September 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c0e257ceae623161

## About the Role

* Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred
 * Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
 * THREE (3) or more years of experience designing, developing, and optimizing enterprise data platforms and analytics solutions.

What Would Be Nice To Have

 * Experience applying AI-enabled tools and techniques to enhance data engineering and analytics capabilities, including:
 + Data modeling acceleration
 + SEMOSS (Semantic Open Source Software)
 + Anomaly detection and monitoring
 + Automated pipeline development and optimization
 + AI-assisted analytics and reporting
 + Machine learning and predictive analytics concepts
 * Experience supporting cloud-based data and analytics environments.
 * Familiarity with DevSecOps, CI/CD pipelines, and data platform automation.

## Description

* Design, develop, and optimize enterprise data lakes, data warehouses, and dimensional data models.
 * Build and maintain secure, scalable data ingestion and integration pipelines to support enterprise analytics and reporting needs.
 * Develop and support ETL/ELT processes leveraging modern data engineering tools and platforms.
 * Partner with business and technical stakeholders to deliver high-quality data solutions and enable data-driven decision making.
 * Create and support reports, dashboards, and semantic data layers that provide actionable business insights.


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