Lead Security Engineer – Data/ML Engineering – Python/SQL

Lead Security Engineer – Data/ML Engineering – Python/SQL

Requirements

• Formal training or certification on software engineering, computer science, or data science concepts and 5+ years applied experience
• Strong proficiency in Python, with a deep understanding of object-oriented programming principles
• Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT
• Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL
• Good understanding of machine learning techniques and statistical methods
• Experience with A/B testing and experimental design
• Hands-on experience with AWS services such as S3, Lambda, Athena, EC2, SQS, RDS, DynamoDB, etc.
• Experience with CI/CD pipelines, automated testing, Git and GitHub, containerization, and infrastructure as code (IaC) tools like Terraform
• Skilled in planning, designing, and implementing enterprise level security solutions
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Responsibilities

• Design, develop, and maintain software applications using Python and SQL. Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors
• Analyze large and complex datasets to identify trends, patterns, and insights
• Collaborate with stakeholders to understand operational needs and translate them into actionable data-driven solutions
• Create data visualizations and dashboards to communicate findings to operational teams and non-technical audiences
• Architect and implement cloud-based solutions on AWS, ensuring scalability, reliability, and security
• Write clean, efficient, and maintainable code in production following best practices and coding standards, such as Test Driven Development and implementing rigorous unit/integration testing. Stay up-to-date with emerging technologies, trends, and best practices in software engineering, cloud computing, and Cybersecurity
• Conduct code reviews, provide constructive feedback, and mentor team members
• Execute creative security solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems
• Minimize security vulnerabilities by following industry insights and governmental regulations to continuously evolve security protocols, including creating processes to determine the effectiveness of current controls
• Work with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability
• Add to a team culture of diversity, equity, inclusion, and respect

Preferred Qualifications

• Experience with data visualization tools such as Qlik, Tableau, or Power BI
• Experience with big-data technologies, such as Splunk, Trino, and Apache Iceberg
• AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer)