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# Data Analytics Engineer

- **Company:** XPECT Solutions Inc.
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Integrity, Data Mart, Data Visualization, Data Warehousing, Relational Databases, Elasticsearch, JSON, PostgreSQL, Oracle (Applications), Power BI, SQL Databases, Tableau (Software), DevOps Tools - Open-source, State Machines, Git, Servicebus, Amazon Relational Database Service, Data Lakes, Information Technology, Data Analytics, Data Management, Tools for Reporting, Functional Programming, Jenkins
- **Published:** August 5, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9075296/data-analytics-engineer

## About the Role

* Must Be Able to Obtain Public Trust Level 6C
 * Ability to work on-site in Crystal City, Virginia, 1 day per week
 * 3-5 years of experience
 * Experience with Report and Dashboard Development
 * Experience with Relational Databases (Oracle, PostgreSQL)
 * Experience with the following technologies:
 + AWS services (S3, RDS, EC2, Lambda, Step Functions, EventBridge, OpenSearch/Elasticsearch
 + JSON and JSON format mediation techniques
 + Business intelligence and visualization tools (PowerBI, Tableau)
 + DevSecOps tools and techniques (Jenkins, Git)
 + Data management and aggregation patterns (data warehouse, data mart, data lake, delta lake, lakehouse, data mesh)

Preferred Additional Skills and Qualifications

 * Bachelor's Degree in Computer Science or related field.

## Description

* Gather requirements and partner with stakeholders to understand complex data needs and emerging business objectives
 * Design, develop, and deploy scalable, high-performance reporting systems and analytics tools
 * Create and optimize SQL queries, dashboards, and data visualization tools in response to client requirements
 * Identify, research, and integrate disparate data sources while maintaining data integrity and security
 * Communicate effectively with clients and cross-functional teams; respond to requirements in tight timeframes


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