Data Engineer

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!

Responsibilities

• Build, document, test and launch new data extract, transform and load (ETL) processes for one or more core data sets.
• Collaborate with Business Intelligence team and other stakeholders for data requirements
• Collaborate with Data Management team to provide quality data to stakeholders.
• Build data expertise and learn company history needed to effectively design data pipelines.

General Requirements

• Highly collaborative and empathic approach to problem solving
• Naturally curious with the drive to learn what is needed to identify root cause
• Capable of actioning high-level, sometimes ambiguous requirements into operational tools/dashboards
• Demonstrated organizational skills, attention to detail and ability to work independently while staying integrated with the broader Data Engineering team as well as stakeholders
• A strategist with sound business and technical acumen. Proven ability to influence at various levels of leadership, without direct authority
• Strong problem-solving skills (critical, strategic, and evaluative thinking)
• Ability to synthesize complex data concepts into easily comprehended messages

Technical Skill Requirements

Data Collection Tools

• Knowledge of data modeling and design of schemas for read and write performance.
• Build Processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Knowledge of message queuing, stream processing, API based extraction and highly scalable 'big data' data stores
• Experience in Python and SQL. Experience with Boomi is a plus.
• ETL Automation - experience with building data pipelines from business applications like Salesforce, Marketo, NetSuite, Workday and Jira
• Knowledge of Databricks Platform
• Knowledge of AI/ML/ Data Science
• Knowledge od BI Tools like Tableau, Looker etc

Education & Experience

• Bachelor's degree required in related field
• Minimum 5 years related work experience
• Ongoing education in an area related to Data Analytics (Data Sciences, Mathematics, Statistics, Industrial Psychology, Organizational Behavior, or Finance/Accounting) preferred
• Experience working in a high growth company preferred

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 [email protected].

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