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Proofpoint Senior Data Engineer in Cincinnati, Ohio

It's fun to work in a company where people truly BELIEVE in what they're doing!

We're committed to bringing passion and customer focus to the business.

The Role

Our Security Analytics, Intelligence, and Learning (SAIL) team , the business unit responsible for machine learning threat detection at Proofpoint, is looking for a Senior Data Engineer. Data is essential for our cybersecurity detection efficacy, and to leverage that data effectively, we need well designed and reliable data infrastructure. We are seeking a Senior Data Engineer to develop and maintain the infrastructure for machine learning and analytics at scale.

Your day-to-day

  • Design and implement components of our big data processing and analytics platform using modern technologies to handle billions of data points a day

  • Contribute to the design and growth of our machine learning and analytics infrastructure

  • Develop and maintain performant databases, orchestration, and ETL in AWS environments

  • Collaborate with Data Scientists, Engineers, and Software Architects to design, implement, and deliver successful data solutions

  • Help define technical requirements and implementation details for data architecture

  • Maintain detailed documentation of your work and changes to support data quality and data governance

  • Ensure high operational efficiency and quality of your solutions to meet SLAs and support our commitment to the customers

  • Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

What you bring to the team

  • 5+ years of data/machine learning engineering experience developing production data systems

  • You are a problem solver with strong attention to detail and excellent analytical and communication skills

  • You are someone that has strong opinions about system design and works well with others.

  • You are a self-starter and enjoy working through the details.

  • Proven experience with cloud infrastructure (preferably AWS)

  • Experince with AWS SageMaker

  • Experience with distributed systems such as Spark, Hadoop, EMR (or similar) ecosystem (MapReduce, Yarn, HDFS, Hive, Presto, Pig, HBase)

  • Solid experience with data integration toolsets and writing and maintaining ETL jobs via (Airflow or AWSStepFunctions)

  • Familiarity with machine learning training and model inference

  • Strong SQL skills and ability to create queries to extract and build tables

  • Good scripting skills, including Bash scripting and Python

  • Strong Java or Scala skills

  • You have experience with Scrum and Agile methodologies

  • Hands-on experience with Hadoop implementations including a deep understanding of Hive or Spark to query and process data in Hadoop

#LI-EC1

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

If you are a Colorado Resident:

Proofpoint carefully considers a wide range of compensation factors, including your background and experience. These considerations can cause your compensation to vary.

The hiring range for this position is typically:

125,250.00 - 167,000.00 USD

Actual offer will be based on the individual candidate. Bonus, commission, and/or equity may be eligible for this position.

Additional benefits for this position can be found at https://pfptbenefits.com.

This statement is being provided in accordance with the Colorado Pay and Benefit Disclosure requirements of sb19-968.

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