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# Professional Services Engineer

- **Company:** BigID
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $105,000 - $135,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Software as a Service, Cyber Security, Computer Programming, Databases, Data Governance, Data Security, IBM DB2, DevOps, Apache Hadoop, Apache Hive, Information Security Management, Python (Programming Language), PostgreSQL, Machine Learning, MariaDB, Microsoft SQL Server, MongoDB, MySQL, Oracle Databases, Software Engineering, Software Requirements Analysis, Systems Architecture, Scripting, Google Cloud, Apache Spark, Data Management, Restful APIs
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/professional-services-engineer-new-york-ny--d3325d0f-18eb-4a3e-8506-8587e9fae4d7

## About the Role

Professional Services, Startup, Data Management, Risk Management, Information/Data Security (InfoSec), Artificial Intelligence (AI), Customer Support/Service, Team Building, Team Lead/Manager, Machine Learning, * 3+ years in a customer-facing technical role, ideally in product implementation or hands-on deployment within enterprise environments

 * Solid troubleshooting and operational knowledge across some combination of: Compute, Storage, Networking, Databases, DevOps, Big Data/Analytics, Security, and Application Development
 * Proven experience across the full solution lifecycle: problem identification, system architecture, hardware/software specification and design, implementation, testing, client training, and deployment
 * A proactive mindset - you look around corners for both internal and customer challenges before they become blockers
 * Hands-on experience with Docker and Kubernetes deployments
 * Working knowledge of one or more databases: MongoDB, Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, or IBM DB2
 * Experience with a major cloud platform: AWS, Azure, or Google Cloud Platform
 * Experience working with REST APIs
 * Programming or scripting proficiency in Java or Python

Nice to have:

 * Familiarity with Hadoop (Hive/Spark)
 * Familiarity with Data Governance, Data Privacy, and/or Data Security Posture Management tools.
 * Prior SaaS implementation experience

## Description

BigID''s Services team is central to how our customers succeed - we own the setup, integration, and deployment of BigID''s discovery tools for customers and implementation partners. As a Services Delivery Engineer, you''ll be the technical backbone of that experience: translating customer requirements into working solutions, troubleshooting deployment issues at their root cause, and partnering with Engineering and Product to make every future rollout smoother than the last., BigID is growing quickly, and we are expanding our Services team and seeking a Professional Services Engineer in the EST time zone. The services team plays an important role in the successful setup, integration, and deployment of BigID''s discovery tools for our customers and implementation partners. This position also works to identify the root cause of any deployment issues and works with the larger team to help resolve them to ensure the success of the customer.

What you'll do:

 * Partner directly with client stakeholders to understand technical requirements and align them to business objectives
 * Plan and lead implementation engagements - deploying solution components and configuring the product to meet each client''s specific environment
 * Collaborate across internal teams and client organizations to ensure smooth rollout and successful integration of BigID solutions
 * Deliver technical training tailored to the audience, from hands-on admins to executive stakeholders
 * Identify root causes of deployment issues and drive them to resolution
 * Work closely with Engineering and Product Management to document field issues, enhancement requests, and opportunities to improve the implementation process