Data Engineer

Recorded Future is seeking a Data Engineer to join their team working on building reliable data pipelines that ingest raw data and convert it into actionable analytics to identify and combat cyber security threats. The role involves developing, productionalizing, and maintaining high volume data extraction via custom harvesters, APIs, and data stores. You'll create well-monitored production data pipelines, maintain existing systems, and collaborate with senior engineers through best practices.

Key responsibilities include:

• Developing and maintaining high volume data extraction systems
• Creating production data pipelines to convert raw data into actionable information
• Maintaining and upgrading existing data flow production systems
• Collaborating with senior engineers through design reviews, code reviews, and pair programming

Requirements:

• 1+ years of Python experience, with strong debugging skills
• 1+ years of experience working with large datasets
• Experience transforming large datasets in Python and querying modern datastores like MongoDB and RedShift
• Passion for coding and eagerness to learn new skills and practices
• Willingness to understand how your work impacts clients and the intelligence community

Recorded Future offers a diverse and inclusive work environment, with employees representing over 40 nationalities. They have a strong reputation, with a 4.8-star user rating from Gartner and more than 45 of the Fortune 100 companies as clients. The company is committed to empowering clients with intelligence to disrupt adversaries.

Benefits and perks are not explicitly mentioned in the job posting, but Recorded Future is known for its commitment to diversity, inclusion, and employee growth. The company offers opportunities to work on cutting-edge cybersecurity challenges and contribute to a rapidly evolving field.