Data Engineer
$125k - $135kBlu Omega
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
Salary Range: $125,000.00 - $135,000.00 Company Overview
Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments. We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data 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. Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. #CJ #LI-Remote
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
- 3+ years of experience in data warehouse development
- 3+ years of experience analyzing and integrating data within cloud-based environments
- 2+ years of experience developing and maintaining scalable data stores supporting big data analytics
- Hands-on experience using SQL and Python for data processing and transformation
- Experience designing and maintaining scalable ETL/ELT workflows using cloud technologies
- Familiarity with Cloudera, Hadoop, or related big data technologies
- Knowledge of cloud-based data architectures, storage, and pipelines
- Experience with AI-assisted coding tools supporting development
- Ability to perform backend SQL and NoSQL database testing and validation
- Strong analytical and troubleshooting skills
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field
- Ability to obtain and sustain a Public Trust suitability determination
- Experience working within cross-functional engineering teams
- Familiarity with AWS data services such as AWS Glue, AWS Athena, and PostgreSQL
- Knowledge of distributed data processing technologies such as Spark, Databricks, Hive, AWS EMR, or Kafka
- Experience developing real-time data pipelines and streaming applications
- Working knowledge of NoSQL solutions like MongoDB or Cassandra
- Experience with data warehouse platforms such as AWS Redshift, MySQL, or Snowflake
- UNIX/Linux command-line and shell scripting proficiency
- Familiarity with Agile development practices
Salary Range: $125,000.00 - $135,000.00 Company Overview
Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments. We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data 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. Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. #CJ #LI-Remote
Vacancy posted 1 day ago
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