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# Senior Data Engineer (s)

- **Company:** Blu Omega
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Big Data, Cloud Database, Cloud Engineering, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Security, Dataspaces, Data Systems, Document-Oriented Databases, Meta-Data Management, NoSQL, Software Engineering, SQL Databases, Systems Integration, Enterprise Data Management, Data Logging, Azure Data Factory, Integration Frameworks, Data Pipelines, Databricks
- **Published:** July 9, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9019552/senior-data-engineer-s

## About the Role

* 8+ years of experience in data engineering, software engineering, or database architecture
 * 6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines
 * 2+ years of experience with cloud data ecosystems like Azure Data Factory
 * 1+ years of experience with modern data processing frameworks like Databricks
 * Experience integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources)
 * Knowledge of relational and NoSQL databases, data modeling, and schema design
 * Knowledge of data governance, security, and compliance principles for enterprise data environments

Preferred Qualifications

 * Experience supporting key data engineering efforts in a government environment
 * Experience collaborating with data scientists and analysts to define data models
 * Knowledge of IT infrastructure practices and data access methodologies
 * Knowledge of advanced data security practices, governance policies, and compliance frameworks
 * Azure Data Engineer Associate certification

## Description

Blu Omega is seeking a Senior Data Engineer to support a federal program focused on data management and transformation. This role operates within a government environment and is responsible for designing and maintaining scalable data pipelines, data architecture, and infrastructure to support analytics and data science initiatives. The position requires extensive experience supporting data ecosystems, with a focus on providing analysis-ready solutions to inform leadership decisions., * Design, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL

 * Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)
 * Develop processes for ingesting, cleaning, validating, and transforming large-scale datasets from APIs, relational sources, and unstructured systems
 * Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows
 * Collaborate with cloud engineering teams to deploy and manage data solutions on Azure
 * Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices
 * Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability, We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support. Our teams are experienced operating within federal contracting environments, supporting task orders, recompetes, and programs requiring cleared personnel and compliant delivery.


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