Sr. Principal Data Engineer - Secureworks - Raleigh, NC; Atlanta, GA; OR US Remote
Austin, Texas, Atlanta, Georgia, United States;Columbia, Maryland, United States;Durham, North Carolina, United StatesJob ID R051081 Date posted Jan. 13, 2020
Secureworks® (NASDAQ: SCWX) is a technology-driven cybersecurity leader that protects organizations in the digitally connected world. Built on proprietary technologies and world-class threat intelligence, our applications and solutions help prevent, detect, and respond to cyber threats. Red Cloak™ software brings advanced threat analytics to thousands of customers, and the Secureworks Counter Threat Platform™ processes over 300B threat events per day. We understand complex security environments and are passionate about simplifying security with Defense in Concert™ so that security becomes a business enabler. More than 4,000 customers across over 50 countries are protected by Secureworks, benefit from our network effect and are Collectively Smarter. Exponentially Safer.™ www.secureworks.com
We enjoy competitive compensation and benefits packages, and reward and recognize our employees for exceptional results. A constant focus on continued learning and growth keeps our team members engaged and excited about “what’s next.” We offer flexible work options when available, and emphasize the importance of work-life balance. We know that when our people are rewarded, recognized, and rejuvenated, we win as a team.
We are looking for a detail-oriented, talented, and enthusiastic data engineer to work in a fast-paced, startup-like environment with a seasoned cross-functional team of Security Experts, Data Scientists, and Machine Learning Engineers to advance the state-of-the-art in network defense. If you love the challenges that come with big data then this role is for you. Duties include large-scale data routing, modeling, extraction, transformation, loading, warehousing, and composing such systems together with support for monitoring and mediation logic. You will use the latest big data platforms and technologies (e.g. NiFi, Spark, Kafka, NoSQL, Docker, Kubernetes, AWS/GCP) to help federate algorithms and applications across many clouds as part of the next generation Secureworks platform.
The ideal candidate will have a software development background with an emphasis on distributed systems and some familiarity with data science or machine learning, though personal expertise is not required. This role requires a data engineer that can take architectures from concept to reality and work well within a collaborative environment. If you’re an engineer with experience solving big data problems, you might have what it takes to become an elite member of our team and help us innovate faster than the bad guys.
Design, build, launch, and maintain infrastructure to support large-scale data routing, streaming and historical processing, data warehousing, and container orchestration.
Employ a variety of languages and tools to marry big data systems together and hunt down opportunities to acquire new data from other systems.
Recommend and implement ways to improve data reliability, efficiency, and quality.
Collaborate with data scientists and security researchers to productize new methods of extracting information from structured and unstructured data.
Work effectively on a geographically distributed team to deliver high quality software against aggressive schedules.
BS or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
3+ years of relevant experience in software or data engineering.
3+ years of experience with scripting languages like Python, Ruby, Perl, Bash, etc.
Experience in data modeling, ETL development, and data warehousing.
Experience with big data platforms (e.g. Hadoop, Spark, Kafka, HBase, etc) or containers/orchestrators (e.g. Docker, rkt, Kubernetes, Mesos).
Excellence in technical communications with both technical and non technical peers.
Passionate about well-designed architectures and a strong desire to learn.
Proficiency in one or more general purpose programming languages including but not limited to: Java, Scala, Python, Go, or C/C++.
Experience with Amazon AWS, Google GCP, or similar cloud provider.
Experience working with containers and container orchestration solutions.
Experience with stream-processing systems, such as NiFi/StreamSets, Kafka, Storm/Heron, Spark, or Flink.
Experience with distributed NoSQL databases, such as HBase, Cassandra, or Accumulo.
Familiarity with data science techniques or machine learning.
Familiarity with packet captures, network flows, log data, malware analysis, etc.
Prior experience developing software in an entrepreneurial environment.
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