Proofpoint
Overview
We are seeking a highly skilled
Data Engineer
to join the Customer Success organization at
Proofpoint . The role partners with Engineering on the data pipeline and uses SQL, Python, and other languages to transform large data sets and create outputs for customer-facing tools. The Data Engineer enables strategic initiatives such as Customer 360, Digital CS campaign engine, automated Product Health Diagnostics, predictive churn models, and Power BI dashboards. This is a technical individual contributor role reporting to the Senior Director, Strategy & Operations, Customer Office. About Proofpoint
We are a leader in human-centric cybersecurity. We protect users, data, and systems with a mission to stay ahead of bad actors and safeguard the digital world. We value BRAVE: Bold in dreaming and innovation, Responsive to feedback, Accountable for results, Visionary in problem-solving, and Exceptional in execution and impact. Responsibilities
Build and enhance the security platform within an AWS environment (e.g., S3, Lambda, Glue, Redshift) in collaboration with Engineering Business Applications. Collaborate with Customer Success subject matter experts to define data requirements and transformation logic. Implement data transformation logic using SQL, Python, and other processing languages to enable data-driven customer success initiatives. Develop scalable, reusable code to reduce delivery time for future initiatives. Ensure data quality, consistency, and scalability across large, complex datasets. What You Bring To The Team
Bachelors degree in Computer Science, Engineering, Data Science, or related field. 5+ years of experience in data engineering or analytics, preferably in a SaaS or technology company. Advanced knowledge of SQL and Python for data manipulation, pipeline automation, and business logic implementation. Experience with modern data platforms (Snowflake, Redshift, BigQuery, Databricks, or equivalent). Strong collaboration skills with both technical and non-technical stakeholders. Ability to manage multiple projects concurrently with an ownership mindset. Proven ability to thrive in a high-growth, fast-paced, dynamic environment. Why Proofpoint
Protecting people is at the heart of our cybersecurity solutions. We are a customer-focused, inclusive organization with leading-edge products and opportunities for growth. We encourage applications from diverse backgrounds and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com. Remuneration and Benefits
Proofpoint provides a comprehensive compensation and benefits package, including competitive base pay, comprehensive benefits, learning and development programs, flexible work options, wellness and community days, recognition programs, and global collaboration opportunities. Base pay ranges vary by location and experience. The actual offer will be based on the candidates knowledge, skills, and experience. How to Apply
Interested candidates should submit their application. We look forward to hearing from you! #J-18808-Ljbffr
We are seeking a highly skilled
Data Engineer
to join the Customer Success organization at
Proofpoint . The role partners with Engineering on the data pipeline and uses SQL, Python, and other languages to transform large data sets and create outputs for customer-facing tools. The Data Engineer enables strategic initiatives such as Customer 360, Digital CS campaign engine, automated Product Health Diagnostics, predictive churn models, and Power BI dashboards. This is a technical individual contributor role reporting to the Senior Director, Strategy & Operations, Customer Office. About Proofpoint
We are a leader in human-centric cybersecurity. We protect users, data, and systems with a mission to stay ahead of bad actors and safeguard the digital world. We value BRAVE: Bold in dreaming and innovation, Responsive to feedback, Accountable for results, Visionary in problem-solving, and Exceptional in execution and impact. Responsibilities
Build and enhance the security platform within an AWS environment (e.g., S3, Lambda, Glue, Redshift) in collaboration with Engineering Business Applications. Collaborate with Customer Success subject matter experts to define data requirements and transformation logic. Implement data transformation logic using SQL, Python, and other processing languages to enable data-driven customer success initiatives. Develop scalable, reusable code to reduce delivery time for future initiatives. Ensure data quality, consistency, and scalability across large, complex datasets. What You Bring To The Team
Bachelors degree in Computer Science, Engineering, Data Science, or related field. 5+ years of experience in data engineering or analytics, preferably in a SaaS or technology company. Advanced knowledge of SQL and Python for data manipulation, pipeline automation, and business logic implementation. Experience with modern data platforms (Snowflake, Redshift, BigQuery, Databricks, or equivalent). Strong collaboration skills with both technical and non-technical stakeholders. Ability to manage multiple projects concurrently with an ownership mindset. Proven ability to thrive in a high-growth, fast-paced, dynamic environment. Why Proofpoint
Protecting people is at the heart of our cybersecurity solutions. We are a customer-focused, inclusive organization with leading-edge products and opportunities for growth. We encourage applications from diverse backgrounds and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com. Remuneration and Benefits
Proofpoint provides a comprehensive compensation and benefits package, including competitive base pay, comprehensive benefits, learning and development programs, flexible work options, wellness and community days, recognition programs, and global collaboration opportunities. Base pay ranges vary by location and experience. The actual offer will be based on the candidates knowledge, skills, and experience. How to Apply
Interested candidates should submit their application. We look forward to hearing from you! #J-18808-Ljbffr