Jr Data Engineer

Summary

Blu Omega delivers technology and cybersecurity solutions to federal agencies and enterprise clients. The company is seeking a Junior Data Engineer to build, optimize, and maintain cloud-based data pipelines, platforms, and data stores supporting mission-critical analytics initiatives. The role focuses on scalable ETL/ELT workflows, data quality, storage solutions, testing, automation, and cloud data platform operations.

Responsibilities

• Assist in designing, developing, and maintaining scalable ETL/ELT pipelines that ingest, transform, and deliver structured and unstructured data from cloud-based sources
• Build and optimize data storage solutions, including data warehouses, data lakes, and lakehouses, supporting analytics and business intelligence workloads
• Perform backend SQL and NoSQL testing, including data validation, post-deployment testing, and troubleshooting of ingestion, transformation, and schema issues
• Collaborate with analysts, engineers, developers, and stakeholders to translate business and data requirements into technical models, workflows, and pipeline specifications
• Develop scripts and automation to transform diverse data types into standardized, analysis-ready formats
• Support the operation, monitoring, and scaling of cloud-based data platforms and data processing workflows
• Help ensure data quality, reliability, and consistency throughout the pipeline lifecycle
• Leverage generative AI coding tools to accelerate development, troubleshooting, and automation activities

Skills

• * 2+ years of experience supporting data warehouse development or data engineering initiatives
• * Experience analyzing and processing aggregated data from multiple sources in cloud-based environments
• * Experience developing and maintaining scalable data stores supporting large-scale analytics
• * Strong experience with SQL and Python for data retrieval, parsing, transformation, and processing
• * Experience developing scalable ETL or ELT workflows using cloud-based technologies
• * Experience using Cloudera, Hadoop, or similar distributed data processing technologies
• * Ability to perform backend SQL and NoSQL database testing, including post-deployment validation and data quality testing
• * Bachelor's degree
• * Ability to obtain and maintain a Public Trust or Suitability/Fitness determination

Qualifications

Must Haves

• * 2+ years of experience supporting data warehouse development or data engineering initiatives
• * Experience analyzing and processing aggregated data from multiple sources in cloud-based environments
• * Experience developing and maintaining scalable data stores supporting large-scale analytics
• * Strong experience with SQL and Python for data retrieval, parsing, transformation, and processing
• * Experience developing scalable ETL or ELT workflows using cloud-based technologies
• * Experience using Cloudera, Hadoop, or similar distributed data processing technologies
• * Ability to perform backend SQL and NoSQL database testing, including post-deployment validation and data quality testing
• * Bachelor's degree
• * Ability to obtain and maintain a Public Trust or Suitability/Fitness determination

Benefits

• Medical, Dental, and Vision coverage through national providers
• 401(k) with company match (eligible after 6 months; vesting applies)
• Company-paid Life and AD&D insurance with additional voluntary options
• Short-term disability (company-paid) and long-term disability options
• Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
• Telehealth and virtual care options available through medical plans
• Pet insurance, legal services, and identity theft protection options
• Paid Time Off (PTO) for eligible employees
• Paid federal holidays for salaried employees
• Access to wellness programs, discounts, and lifestyle benefits