Staff Data Engineer

Rapid7 seeks an experienced, highly driven, and dynamic Staff Data Engineer to take our data engineering function to the next level. Come and join our efforts in unlocking the value of data through industry-leading innovation, cutting edge modern tooling, democratization at scale and building exceptional and trusted data products for the company!
About the team
The Data Engineering team at Rapid7 is dedicated to unlocking the value of data by building scalable, trusted, and innovative solutions. Using modern technologies like Kafka, Snowflake, Kubernetes, and Airflow, the team delivers reliable enterprise and product data that powers smarter decisions and drives business impact
About the role
As a Staff Data Engineer, you will be responsible for the technical advancement of our data engineering function tackling our most complex challenges, mentoring our highly motivated core of data engineers and senior data engineers, and building strong partnerships with data consumers across the organization. The team is responsible for serving both enterprise data and product telemetry data solutions at near-time and batch latencies using tools such as Kafka, Snowflake, Kubernetes, Airflow, AWS, dbt, TigerData, Jenkins and more. This is your opportunity to drive business value through thought leadership and innovation as we develop a best-in-class data platform.
In this role, you will:

• Scope and stage larger scale initiatives into well-defined milestones to avoid a monolithic deliverables
• Provide thought leadership and contribute to the vision of our data engineering function
• Lead team processes such as on-call rotations, bug triage, technical direction, standards, and execution
• Own delivery architecture/execution of major component(s) from conception to release
• Looked up to for technical mentorship within the data engineering team. Make others better through code reviews, focus on documentation, and technical guidance
• Act as a resource sought for technical advice and weigh in on technical decisions that impact other teams as well
• Understand the tradeoffs between technical and business needs, interact and negotiate with key stakeholders, and deliver solutions that take all of these needs into account
• Regularly take complex designs / codebases and simplify them without being asked
• Regularly contribute improvements to team's existing SDLC (ie: CICD) or other methods, programs, etc

The skills you'll bring include:

• 6+ years of hands on data engineering experience and at least 2 years in a senior-level data engineering role
• 6+ years of experience in at least one programming language such as Python is required (Python is our most commonly used language); Advanced SQL expertise is required
• Experience working in a modern lakehouse is required (Snowflake is preferred); time-series database experience is a plus (TigerData, InfluxDB); Modern warehousing best practices should be second nature
• Cloud experience is required (AWS is strongly preferred); Experience w/ IaC is required; Terraform is highly preferred
• Experience with streaming platforms is a plus (Kafka, MSK, Kinesis, etc)
• Hands on experience working with container services is required (ECS, Kubernetes, etc)

• Extensive experience with a CI/CD tool such as Jenkins, Github Actions or AWS Code Pipeline

• Modern tech stack experience is a plus (dbt, Fivetran, Snowflake. Airflow)
• Experience as a technical leader within a data engineering team and ability to mentor teammates
• Sharp business and interpersonal skills; ability to influence at senior levels across business units to drive change and achieve common goals
• Sound problem solving and ability to make efficient decisions that resolve challenges and enable momentum, integrating diverse perspectives and ensuring transparency in the process.
• Collaborative team player who has the ability to partner with others and drive toward solutions
• Solid communicator with excellent written and verbal communications skills and strong attention to detail
• Excited by technology, curious and eager to learn, with the ability to mentor more junior members of the team
• BS or MS in Computer Science, Analytics, Statistics, Informatics, Information Systems or
  another quantitative field or equivalent experience

We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today.
About Rapid7
At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome.
Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope - just like we've been doing for the past 20 years. If you're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.
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