Sr. Big Data Engineer

📋 Description

• Engineer and maintain large-scale big data solutions and multi-tier data environments supporting
• Lead initiatives that leverage big data technologies to generate actionable insights and address
• Design, develop, and maintain enterprise data models using data modeling tools such as ERwin and
• Build high-performance algorithms, prototypes, and data models using programming languages such as
• Analyze and develop data processing workflows for data ingestion, modeling, mining, and
• Contribute to machine learning, natural language processing (NLP), and MLOps initiatives that

🎯 Requirements

• A bachelor's or master's degree is required.
• At least eight years of relevant professional experience.
• An active Secret security clearance is mandatory.
• Demonstrated experience engineering large-scale big data deployments in government and large
• Experience with machine learning, natural language processing (NLP), MLOps, Python, data
• Hands-on experience with Hadoop-based technologies, including Cloudera, Hortonworks, MapReduce

🎁 Benefits

• Compensation: Determined based on experience and qualifications.
• Work arrangement: Remote opportunity based on the United States job listing.
• Employment type: Consultant Corp.
• Mission-driven work: Contribute to the modernization and sustainment of a large-scale government
• Technical challenges: Work with big data technologies, machine learning, AI, and enterprise data
• Professional impact: Help develop data solutions that support important strategic and operational