Data Engineer • Senior

Who you are

You have 5+ years of professional experience in data engineering, demonstrating a strong ability to build robust ETL workflows that handle structured, semi-structured, and unstructured data at scale. Your background includes designing data models and ontologies that maximize the analytical power of graph data, ensuring you can effectively contribute to our technology team's goals.

Your expertise extends to implementing data validation and integrity checks across all ingestion processes, allowing you to ensure consistent and trustworthy data. You are skilled in developing APIs and data services that expose graph data to applications, optimizing graph queries for performance and scalability.

You thrive in collaborative environments, working closely with subject matter experts to identify and integrate new data sources. Your attention to detail is evident in your ability to maintain comprehensive documentation for pipelines, data models, and integration processes, which is crucial for team alignment and knowledge sharing.

You stay current on emerging ETL, virtualization, and data engineering technologies, bringing innovative solutions into our workflow. Your proactive approach to monitoring and tuning ETL processes for efficiency, resilience, and scalability demonstrates your commitment to data quality and operational excellence.

Desirable

A Bachelor’s degree or higher in computer science, computer engineering, data science, or a related field is preferred, as it provides a solid foundation for your technical skills. Experience with cloud platforms and big data technologies would be advantageous, enhancing your ability to contribute to our evolving technology landscape.

What you'll do

As a Senior Data Engineer at Point72, you will be responsible for building and maintaining robust ETL workflows that efficiently handle various data types at scale. You will design data models and ontologies that enhance the analytical capabilities of our graph data, ensuring that our data infrastructure supports advanced analytics and decision-making.

You will implement data validation and integrity checks across all ingestion processes, ensuring that the data we work with is consistent and trustworthy. Your role will also involve developing APIs and data services that expose graph data to applications, optimizing these services for performance and scalability.

Collaboration is key in this role; you will work closely with subject matter experts to identify and integrate new data sources, enhancing our data ecosystem. You will maintain detailed documentation for pipelines, data models, and integration processes, which is essential for knowledge sharing and team alignment.

Monitoring and tuning ETL processes for efficiency, resilience, and scalability will be part of your daily responsibilities. You will also be proactive in alerting for data quality issues, ensuring that our data remains reliable and actionable.

Staying current on emerging ETL, virtualization, and data engineering technologies will be crucial, as you will be expected to bring innovative solutions into our workflow. Your contributions will directly impact the effectiveness of our technology team and the overall success of Point72.

What we offer

At Point72, we offer a competitive annual base salary range of $150,000-$200,000, which does not include discretionary bonus compensation or our comprehensive benefits package. You will have the opportunity to work in a dynamic environment that encourages professional development and intellectual curiosity. We believe in fostering a culture of innovation and collaboration, where your ideas can shape the future of investing.

Join us and be part of a team that is at the forefront of a rapidly evolving technology landscape, where your contributions will have a meaningful impact on our operations and success.