Data Engineer

Data Engineer

Remote

Blu Omega is seeking a Data Engineer to support a federal program focused on data modernization. This role operates within a remote environment and is responsible for designing, developing, and maintaining cloud-based data pipelines, platforms, and data stores that enable analytics across large and diverse datasets. The position requires experience supporting data engineering, data architecture, and ETL workflows within a mission-driven environment.

Program Overview

The program supports a government agency’s efforts to modernize data infrastructure and enable data-driven decision-making.

Key Details

Location: Remote

Clearance: Ability to obtain and maintain a Public Trust suitability determination

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver structured and unstructured data from multiple cloud-based sources
• Build and optimize data storage solutions, including data warehouses, data lakes, and lakehouses, to support large-scale analytics, reporting, and business intelligence
• Develop and maintain scalable data stores to facilitate analysis and downstream applications
• Write SQL and Python to retrieve, parse, transform, and process data, ensuring data quality and integrity
• Perform backend SQL and NoSQL testing, including validation, troubleshooting, and schema review
• Monitor and troubleshoot data pipelines to ensure reliable data ingestion and transformation
• Develop scripts and automation to standardize diverse datasets into analysis-ready formats
• Collaborate with analysts, developers, and stakeholders to translate requirements into technical data models and workflows
• Support the deployment, operation, and continuous improvement of cloud data platforms
• Leverage modern development practices and AI-assisted coding tools to enhance workflows

Required Qualifications

* 3+ years of experience in data warehouse dev