Who is Forcepoint

Forcepoint simplifies security for global businesses and governments. Forcepoint's all-in-one, truly cloud-native platform makes it easy to adopt Zero Trust and prevent the theft or loss of sensitive data and intellectual property no matter where people are working. 20+ years in business. 2.7k employees. 150 countries. 11k+ customers. 300+ patents. If our mission excites you, you're in the right place we want you to bring your own energy to help us create a safer world. All we're missing is you!

Forcepoint is looking for a hands-on Data Engineer to join our growing Business Intelligence team. This is a role for someone who thrives on taking on challenges, moves with urgency, and takes real ownership of their work. You will design, build, and maintain data pipelines and infrastructure that power critical decisions across the organization.

Data Engineering & Pipeline Development

• Design, build, and maintain scalable data pipelines for ingestion, transformation, and delivery using Fivetran and API Ingestion with AWS S3
• Develop and optimize complex SQL queries and Python scripts to support ETL/ELT workflows
• Manage and maintain data workflows within Databricks, ensuring performance, reliability, and data quality
• Collaborate on data modeling, schema design, and governance best practices

Reporting & Analytics Enablement

• Build and maintain Databricks dashboards and reports that surface actionable insights to business stakeholders
• Partner with analysts and business teams to translate reporting needs into scalable data solutions

Stakeholder Communication & Project Management

• Communicate clearly and proactively with stakeholders across business units, setting realistic expectations on timelines and deliverables
• Prioritize workload effectively across multiple concurrent projects and shifting business needs
• Document data processes, pipeline logic, and architectural decisions to enable team-wide transparency
• Participate in sprint planning and contribute to Agile development cycles

Innovation & Continuous Improvement

• Identify opportunities to leverage AI, machine learning, or cloud-native tooling to enhance data products
• Stay current on emerging technologies including AI agents, LLM integrations, and modern cloud data patterns
• Contribute to code reviews and version-controlled development practices via GitHub

You will be expected to work comfortably across our full data platform:

Category

Technologies

Cloud & Storage

AWS, S3, Databricks

Languages

Python, SQL

Reporting & BI

Tableau, Excel, Databricks

Data Ingestion

Fivetran, API Ingestion

Version Control

GitHub

Required

• 3+ years of experience in a data engineering, analytics engineering, or similar role
• Strong proficiency in SQL - able to write complex queries, optimize performance, and debug efficiently
• Hands-on Python experience for data transformation, automation, and pipeline development
• Experience with Databricks or equivalent distributed data processing platforms
• Familiarity with version control and collaborative development using GitHub
• Demonstrated ability to communicate technical concepts clearly to non-technical stakeholders

Preferred

• Experience with Databricks, including building pipelines and writing complex queries
• Familiarity with Salesforce and experience integrating or extracting data from CRM platforms
• Experience with API-based data ingestion and building pipelines from third-party data sources
• Exposure to AI/ML tooling, cloud AI services, or LLM-powered data pipelines and agents
• Familiarity with Agile development methodologies

Beyond the technical skills, we want someone who brings the right mindset to the team:

• Self-starter mentality - you don't wait to be told what to do next you identify the problem and get after it
• Clear communicator - you keep stakeholders informed, manage expectations honestly, and ask the right questions early
• Organized and prioritization-focused - you juggle multiple asks without dropping the ball, and you know how to triage
• Curiosity and a growth mindset - especially around AI, automation, and the future of data engineering
• Team player - you share knowledge, support your peers, and contribute to a culture of continuous improvement