Data Engineer

This is a unique opportunity to join an exciting early stage startup experiencing hypergrowth in a white-hot segment of the cybersecurity space.

Cycode is a rapidly growing cybersecurity startup and creator of the world’s first complete software supply chain security solution. According to Gartner, software supply chain attacks (like the one that impacted Solarwinds) will affect 45% of organizations and grow three-fold by 2025. Unfortunately, traditional AppSec offers little protection against these devastating threats. That’s where Cycode comes in. Our platform provides customers with complete visibility, security, and integrity across all phases of the software development lifecycle (SDLC) — to prevent them from becoming the next Solarwinds.

Cycode was founded in 2019 and is backed by top venture capital firms YL Ventures and Insight Partners. We’ve received numerous awards and recognition including being named one of the top cybersecurity startups in the Cyber Defense Magazine Top 100 (2020), Accel 2021 Euroscape Top 100, Analytics Insight “Top Cybersecurity Companies to Watch in 2021”, winner of the 2021 Cyber Defender Award and a finalist for the 2021 CISO Choice in Application Security. In 2023, we won Cyber Defense Magazine's Top Infosec Innovator.

As a Data Engineer at Cycode, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization. This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.

Responsibilities

• Collect and gather data from various sources, both internal and external.
• Organize and clean datasets to ensure accuracy and reliability.
• Utilize appropriate tools and software to analyze and visualize data effectively.
• Collaborate with cross-functional teams to identify data needs and requirements.
• Develop and implement data collection strategies to support business objectives.
• Interpret data and provide insights to inform decision-making processes.
• Create reports and presentations to communicate findings and recommendations.
• Assist in the development of data-driven solutions to address business challenges.
• Stay updated on industry trends and best practices in data analysis.
  
  

• Bachelor's degree in a relevant field such as Statistics, Mathematics, Computer Science, or Economics.
• Strong analytical skills with the ability to collect, organize, and interpret large datasets.
• Proven experience in building, deploying, and monitoring of ETLs
• Proficiency in data analysis tools such as SQL, Python, Pandas, Apache Spark / Beam, etc
• Good understanding of data modeling principles
• Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio.
• Excellent communication and collaboration skills.
• Ability to work independently and prioritize tasks effectively.
• Problem-solving mindset with a keen attention to detail.
• Experience in a data-related role is preferred but not required.
• Eagerness to learn and adapt to new technologies and methodologies.
  
  

• MongoDB
• AWS Cloud
• CICD, Docker Kubernetes