Manager, Data Engineering

Manager, Data Engineering - Graph Quality

Recorded Future combats cyber security threats by delivering actionable intelligence from the Security Intelligence Graph. The Graph Quality team aggregates data from various sources and Indicators of Compromise (IOCs) to ensure that risk is properly attributed in the defender space graph.

What You'll Do:

• Manage a team of 3-4 developers
• Mentor the team, plan team goals, and lead Agile scrum meetings to ensure that engineering deliverables are completed in a timely manner, with high quality
• Develop data pipelines to analyze and ingest data at scale
• Identify, scope, and own technical solutions to drive the successful execution of projects
• Create technical project plans and drive the successful execution of projects, with input from our Product team and other developers on your team
• Collaborate with Data Scientists, Data Engineers, and business leaders to scope and implement technical solutions

What You'll Bring:

• 4+ years of previous team leadership experience
• 5+ years of programming and experience in Data Science, including 1+ years of experience with Python programming
• 3+ years of experience with cloud computing tools, e.g. from AWS, Azure, or Google Cloud
• 1+ years of experience managing or leading a team
• Experience writing scalable, production-grade applications and ETL/ELT pipelines
• Efficient accurate problem solving skills, including the ability to debug both software and data
• Proven ability to analyze data and apply statistical techniques to draw accurate, impactful conclusions
• Proven success in delivering projects from design and implementation to release
• Excellent attention to detail ability to work independently while delivering high-quality results
• Excellent written verbal communication when collaborating with colleagues across various locations and timezones, designing technical approaches, and writing documentation
• Eagerness to continue learning and teaching new skills to team members, in order to raise the bar across the team
• Track record of presenting information to stakeholders with varying levels of technical expertise
• Experience engaging with technical leaders across geographies and divisions/companies

Preferred Qualifications:

• Familiarity with both batch and streaming pipelines
• Familiarity with any of the following: message buses (e.g. Kafka, RabbitMQ), NoSQL databases (e.g. MongoDB, AWS Neptune, Neo4j), ElasticSearch
• Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience
• Exposure to ML approaches, including experience productizing ML models
• Experience with developing REST APIs with Python frameworks (e.g. Flask, Django, FastAPI)

The base salary range for this full-time position is $150,000 - 187,000. Our salary ranges are determined by role, level, and location. The range displayed reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.