Top Remote Data Engineer Jobs in Philadelphia, PA

As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.

The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.

As a Senior Machine Learning Engineer at CrowdStrike, you will innovate machine learning technology for data science, create scalable microservices, build data pipelines, and collaborate across teams to enhance the cybersecurity platform. You'll engage in ongoing learning, maintain coding standards, and contribute to a collaborative environment while mentoring fellow engineers.

The Threat Analyst, Machine Learning position at CrowdStrike involves analyzing malware and detections, improving detection capability, and responding to customer inquiries about threat detection. The role requires knowledge of malware, reverse engineering, programming languages like Python, and threat/risk management.

The Director of Consumer Insights & Data Analytics will lead efforts to understand consumer behavior, drive marketing activities through data insights, and develop tools and frameworks to optimize the customer purchase journey and enhance overall business strategies.

The Presales Data Principal will work to understand client needs and design effective data solutions using SaaS technologies like Snowflake and Databricks. Responsibilities include technical storytelling, responding to RFPs, and leading all aspects of pre-sales processes. The role emphasizes interpersonal skills, deal conversion, and guiding clients on data best practices and AI/ML capabilities.

As a Sr. Data Engineer, you will develop and optimize ETL pipelines and scalable systems on Google Cloud Platform. Your role involves delivering high-quality solutions, collaborating with cross-functional teams, mentoring junior engineers, and leading initiatives while applying strong analytical skills in an Agile environment.

As a Data Architect, you will help build and deploy analytics solutions for healthcare providers, transforming raw data into actionable information and designing scalable data models. Your expertise in SQL and cloud technologies will guide customers through complex technology requirements, ensuring high-quality project deliverables.