? Apply Now! DevOps Data Engineer (Mid-Level or Senior)

About the Role

Key Responsibilities

• Partner with internal stakeholders to define desired user experiences with data; use these requirements to design orchestration strategies, data models, and partition strategies that optimize performance and cost of data curation and access
• Design, build, and manage scalable systems and data pipelines that enable the department to collect, store, and process large volumes of data from diverse sources using big data technologies
• Build and manage CI/CD pipelines to ensure reliable deployment of applications and services with Cloud technologies
• Implement testing and alerts that identify undesirable performance in codebases and data pipelines
• Analyze large datasets to identify, disposition, and explain the root cause for unanticipated data trends
• Implement access-control and security systems for compliance with data governance policies
• Develop and maintain partnerships while working in a cross-functional team of Data Scientists, Product Owners, and Business Intelligence Analysts
• Exercise critical thinking and innovative problem solving

Requirements

• Bachelor's Degree or higher in Computer Science, Statistics, Data Science, Engineering, or a related field
• 3 years of experience leading work streams with data scientists and other data & analytics professionals, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval
• Experience in cloud and/or data engineering
• Experience with CI/CD practices, configuration management tools, and containerization and orchestration tools for infrastructure automation
• Experience with cloud technology resources, configuration, deployment, and architecture

Nice to Have

• Master's Degree in Computer Science, Statistics, Data Science, Engineering, or related fields
• 5 years of related work experience or an equivalent combination of education and experience
• In-depth knowledge of AWS resources, configuration, deployment, and architecture
• Experience utilizing a diverse array of technologies and tools such as Python
• Experience with command-line scripting, data structures, and algorithms; ability to write production-level code
• Experience working in a role that develops Data Engineering solutions as part of a cross-functional team
• Experience working in highly regulated environments (e.g., aerospace, defense, financial services)

Qualifications

• Bachelor's Degree or equivalent
• U.S. Person as defined by 22 C.F.R. §120.15 (U.S. Citizen, lawful permanent resident, refugee, or asylee)

Benefits & Perks

• Competitive base pay and variable compensation opportunities
• Health insurance, flexible spending accounts, health savings accounts
• Retirement savings plans, life and disability insurance programs
• Paid and unpaid time off programs
• Opportunity to participate in a variety of benefit programs based on eligibility