Minimum qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering roles.
• Proficiency in Python, SQL, and ETL tools.
• Experience with cloud platforms (AWS, GCP, Azure) and modern data warehousing solutions (e.g., Redshift, BigQuery).
• Familiarity with distributed computing frameworks (Spark, Hadoop).

Preferred qualifications

• Knowledge of DevOps practices and tools like Docker and Kubernetes.
• Experience in delivering data solutions for AI/ML models.
• Strong communication and collaboration skills.

Responsibilities

• Develop and maintain scalable data pipelines using tools like Apache Beam, Spark, or Hadoop.
• Collaborate with Data Scientists to support machine learning workflows.
• Implement data warehousing solutions for robust reporting and analysis.
• Ensure data integrity and reliability through strong ETL/ELT practices.
• Work with Product and Engineering teams to integrate data solutions into production.

About The Job

Toggle's software engineers drive the development of cutting-edge technologies that transform how millions of users connect, explore information, and engage with the market. 

Our products must effectively manage vast amounts of data and go far beyond generating investment insights. We seek engineers who bring innovative concepts from diverse fields such as information retrieval, distributed computing, designing large-scale systems, networking, data storage, cybersecurity, artificial intelligence, natural language processing, mobile and UI design - the range continues to expand constantly. 

As a Machine Learning and AI Engineer, you will design and implement Machine Learning solutions for internal and customer use cases, leveraging best of breed products including TensorFlow/PyTorch, DataFlow, OpenAI, LLAMA, and Vertex AI. You will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

We are seeking a skilled Data Engineer to join our dynamic team. You will design, implement, and optimize our data pipelines, ensuring high-quality data processing for advanced analytics and machine learning. Working closely with cross-functional teams, you will ensure our data infrastructure supports business growth and innovation.

Toggle aims to become an inclusive organization that mirrors the globally varied audience benefiting from our products and technology. We firmly believe that a diversity of viewpoints, concepts, and cultures not only enriches our workforce, but also results in the development of superior products and services.

At its core, Toggle embodies an engineering ethos. We recruit individuals with a wide array of technical proficiencies who are prepared to confront some of technology's most significant hurdles and leave a mark on global users. Within Toggle, engineers not only pioneer advancements in the investment space, but they also routinely address scalability and storage solutions, develop large-scale applications, and introduce entirely novel platforms for other developers.

Notice

Toggle does not accept agency resumes. Please do not forward resumes to our jobs alias, Toggle employees or any other organization location. Toggle is not responsible for any fees related to unsolicited resumes