Join Cypris as a Data Engineer

About Cypris:

At Cypris, we're creating the ultimate ecosystem for global innovation data. Cypris is an AI-powered research tool that consolidates various data sources such as scientific papers, global patents, market news, and company data into a single platform. With access to over 500M global data points, Cypris equips users with invaluable insights into their market, competitors, core technologies, and more, fostering new product development, commercial strategy, and accelerating global innovation.

We’re connecting R&D teams to the global innovation landscape, akin to how the Bloomberg Terminal transformed finance or Pitchbook enhanced venture capital. Our current users include leading R&D and innovation teams at mid-size to Fortune 100 companies in emerging markets such as aerospace, genomics, cancer research, autonomous vehicles, and beyond.

About the Role:

As a Data Engineer at Cypris, you'll be responsible for designing, building, and maintaining scalable data pipelines and systems to support our data-driven platform. Collaborating closely with our engineering team, you'll ensure the availability and quality of data necessary for delivering innovation analytics and insights. This role offers an exciting opportunity to contribute to our data infrastructure and influence the evolution of our data capabilities.

In This Role You Will:

• Design, develop, and optimize robust data pipelines to process and transform large datasets from various sources.
• Enhance data stores' performance, focusing on index and query response times.
• Implement and maintain ETL processes to ensure data accuracy and integrity.
• Collaborate with cross-functional teams to understand data requirements and deliver effective data solutions.
• Develop and maintain data warehouses and data lakes to support business intelligence and analytics.
• Monitor and troubleshoot data pipeline performance and reliability, implementing improvements as needed.
• Ensure data security and compliance with relevant regulations and standards.
• Stay updated with the latest technologies and best practices in data engineering and incorporate them into our processes.

Requirements - A Key Candidate Will Have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Proficiency in programming languages like Python, Java, or Scala.
• Experience with cloud platforms such as GCP (preferred), AWS, Google Cloud, or Azure.
• Hands-on experience with big data technologies such as Hadoop, Spark, or similar frameworks.
• Knowledge of data warehousing concepts and experience with tools like Redshift, BigQuery, or Snowflake.
• Familiarity with ETL tools and processes.
• Strong problem-solving skills and attention to detail.
• The desire to contribute and grow in an early-stage startup.

Technologies We Use:

• Python
• GCP
• Apache Beam

Benefits:

Through this role, you will receive:

• A strong base salary and bonus structure.
• An environment where your voice and opinion are heard.
• Proper training to equip you with the knowledge necessary for success in our market.
• The opportunity to influence the future growth of our platform and team.

How to Get in Touch:

If your resume and background match our needs, we will contact you to schedule an initial phone screen. Please apply, and we’ll be in touch!

Office Locations:

Cypris has offices in New York, Los Angeles, and Boulder.

Future Hiring Plans:

We’re continuously seeking top talent across all departments. Regularly check the Cypris Careers page, Wellfound, or LinkedIn for new job opportunities.

Revenue Model:

We generate revenue by selling annual access to our dashboard to R&D, innovation, and IP teams. This access helps them better understand the innovation landscape. We also offer custom reports for objective-oriented projects, available as a comprehensive package.

Interview Process:

The process varies by role, but