Data Engineer III
Role Overview
Join Forcepoint's Business Intelligence team as a hands-on Data Engineer.
Design, build, and maintain data pipelines and infrastructure that support critical organizational decisions.
Key Skills for This Role
Full Job Posting
About Forcepoint
Forcepoint provides a cloud-native security platform for global businesses and governments, focused on Zero Trust and preventing sensitive data loss.
Role overview
Join Forcepoint's Business Intelligence team as a hands-on Data Engineer.
Design, build, and maintain data pipelines and infrastructure that support critical organizational decisions.
Data engineering and analytics
- Build scalable ingestion, transformation, and delivery pipelines using Fivetran, API ingestion, and AWS S3.
- Develop complex SQL queries and Python scripts for ETL/ELT workflows.
- Manage Databricks workflows for performance, reliability, and data quality.
- Contribute to data modeling, schema design, and governance practices.
- Build Databricks dashboards and reports and translate stakeholder reporting needs into scalable solutions.
Collaboration and improvement
- Communicate timelines and deliverables across business units and prioritize multiple concurrent projects.
- Document data processes, pipeline logic, and architectural decisions.
- Participate in sprint planning, Agile development cycles, code reviews, and GitHub-based development.
- Explore AI, machine learning, cloud-native tooling, AI agents, and LLM integrations for data products.
Technology stack
- Cloud and storage technologies include AWS, S3, and Databricks.
- Languages include Python and SQL.
- Reporting tools include Tableau, Excel, and Databricks.
- Data ingestion includes Fivetran and API Ingestion.
- Version control uses GitHub.
Required qualifications
- At least 3 years of experience in data engineering, analytics engineering, or a similar role.
- Strong SQL proficiency, including complex queries, performance optimization, and debugging.
- Hands-on Python experience for data transformation, automation, and pipeline development.
- Experience with Databricks or an equivalent distributed data processing platform.
- Familiarity with GitHub-based version control and collaborative development.
- Ability to communicate technical concepts clearly to non-technical stakeholders.
Preferred qualifications
- Experience building Databricks pipelines and writing complex queries.
- Familiarity with Salesforce and CRM data integration or extraction.
- Experience with API-based ingestion and third-party data pipelines.
- Exposure to AI/ML tooling, cloud AI services, or LLM-powered data pipelines and agents.
- Familiarity with Agile development methodologies.
Working style
The role values ownership, clear communication, organization, prioritization, curiosity, growth mindset, and teamwork.
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