Senior Cloud/Data Engineer
CZ Prague
Rapid7
Level up SecOps with the only endpoint to cloud, unified cybersecurity platform. Confidently act to prevent breaches with a leading MDR partner. Request demo!Senior Cloud Engineer
Rapid7 seeks an experienced, highly driven, and dynamic Senior Cloud 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
As we spearhead a cultural shift to a data-driven business, Data Engineering serves as the Hub for all teams at Rapid7 from ML Ops, to Sales and Operations to Platform and Engineering. Our team is a highly skilled yet egoless group of data magicians (and humorists) with a penchant for innovation and a knack for problem solving.
About the Role
As a Senior Cloud Engineer, you will build and maintain data infrastructure within the Data Engineering team's data platform. You’ll be responsible for managing containerized applications and supporting our product event streaming systems in the cloud as you partner with high impact teams such as AI and Product Analytics. You will also build data pipelines using tools such as Airflow, Python, ECS and Snowflake. The Senior Data Engineer will also be expected to drive and mature best practices such as IAC (Terraform) and DevOps within the Data Engineering team.
In this role, you will:
Build and maintain hosted environments for key tools with AWS ECS/EKS
Manage cloud environments for the data engineering team through Terraform
Support our product events data architecture including Kafka, SQS, EKS &, S3
Develop data pipelines with Fivetran, Snowflake & Airflow using languages such as Python, SQL & Javascript
Provide thought leadership and contribute to the vision of our data engineering function
Participate in 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
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
Work closely with leadership to drive adoption of the latest DevOps and DataOps trends and technologies.
The skills you’ll bring include:
5+ years of hands-on software engineering experience
4+ years working with a major cloud provider (preferably AWS); Experience building/maintaining VPC’s and deploying code using Terraform is a must!
3+ years building and maintaining hosted environments and applications using EKS or another container service is a must!
5+ years of experience in at least one programming language such as Python, Java, Scala 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); Modern warehousing best practices should be second nature
Cloud experience is required (AWS is strongly preferred); Terraform is highly preferred
Knowledge and ideally hands on experience working with container services is required (ECS, Kubernetes, etc)
Experience working in a mature SDLC environment (ie: CICD) is required
Modern tech stack experience is a plus (dbt, Fivetran, Snowflake. Airflow)
Experience as a leader within a data engineering team and ability to mentor teammates
Strong work ethic, resiliency, persistence, and urgency; Data Engineering holds itself to a high standard so you’ll need to keep up!
Sharp business and interpersonal skills; ability to influence at senior levels across business units to drive change and achieve common goals
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, we are on a mission to create a secure digital world for our customers, our industry, and our communities. We do this by embracing tenacity, passion, and collaboration to challenge what’s possible and drive extraordinary impact.
Here, we’re building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 10,000 global customers ahead of whatever’s next.
#LI-SIM
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Computer Science DataOps Data pipelines dbt DevOps ECS Engineering FiveTran Java JavaScript Kafka Kubernetes Machine Learning Pipelines Python Scala SDLC Snowflake SQL Statistics Streaming Terraform
Perks/benefits: Team events
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