Data Engineer III

About the job

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!

About the Role

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.

Key Responsibilities

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

Technology Stack

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

Qualifications

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

What We're Looking For

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

Don’t meet every single qualification? Studies show people are hesitant to apply if they don’t meet all requirements listed in a job posting. Forcepoint is focused on building an inclusive and diverse workplace – so if there is something slightly different about your previous experience, but it otherwise aligns and you’re excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team.

The policy of Forcepoint is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.

Forcepoint is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to recruiting@forcepoint.com .

Applicants must have the right to work in the location to which you have applied.