Analytics Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $115.7k - $208.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Build scalable Python-based data pipelines and backend services for analytics workflows. • Design software systems using object-oriented programming and sound engineering practices. • Create and support platforms that allow analytics development, model training, and model deployment. • Implement and maintain CI/CD pipelines and infrastructure-as-code solutions for automated deployments. • Manage cloud and on-premises analytics environments, including AWS infrastructure and security controls. • Monitor, troubleshoot, and improve data pipelines, platform performance, and system reliability. • Support machine learning and fraud modeling workflows, including feature engineering and model deployment. • Implement new technologies, including AI-based solutions, to improve platform efficiency and stability.

🎯 Requirements

• 3+ years of experience in data science, analytics, data engineering, or a related field. • Bachelor's or advanced degree in Statistics, Applied Mathematics, Econometrics, or another quantitative field; equivalent experience considered. • Experience developing applications and data pipelines using Python, including PySpark, Polars, NumPy, and Pandas. • Familiarity with Java and object-oriented programming concepts. • Experience building, deploying, and supporting production systems and data platforms. • Experience with AWS services such as EC2, EMR, and Airflow, including cloud security best practices. • Experience with machine learning workflows and analytics model development environments. • Experience with CI/CD processes, Infrastructure as Code, containerization tools, and UNIX/Linux environments.

🏖️ Benefits

• Great compensation package and bonus plan. • Core benefits including medical, dental, vision, and matching 401K. • Flexible work environment, ability to work remote, hybrid or in-office. • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.