Dell Data Engineer in Massachusetts
Senior Data Engineer
Remote Role in USA
Dell provides the technology that transforms the way we all work and live. But we are more than a technology company — we are a people company. We inspire, challenge and respect every one of our over 100,000 employees. We also provide them with unparalleled growth and development opportunities. We can’t wait for you to discover this for yourself as a Senior Data Engineer on our global Decision Sciences team.
The desired candidate will work to enable Dell's Global Business Operations organization with data-driven insights that support our quota planning, integrated operating plan, compensation, and business transformation efforts. The ideal candidate will work with a variety of stakeholders including ML engineers, data scientists, software engineers, and peer data engineers to align and execute end-to-end solutions which start with data collection and management, extend through machine learning methodologies, and end with governance of machine learning model performance. As the team's Senior Data Engineer, it will be your responsibility to ensure your fellow team members have clean, reliable data that can be easily consumed into our data science and machine learning procedures.
Deep-dive into business problems relating to our integrated operating plan, quota planning, and sales compensation efforts
Deign and maintain optimal data architecture for our data science products
Build, clean, and maintain data sets that feed our machine learning algorithms and discovery processes (based in PostgreSQL database)
Identify opportunities for process improvements (may results in automating, optimizing, or fully rebuilding workflows)
Work with the greater Decision Sciences team to help with data related issues and analysis needs
Self-learner who is driven to learn new methods and techniques to fulfill business needs
Creative thinker who is success-driven both individually and as a team leader/mentor
Detail-oriented with the ability to effectively prioritize tasks
Experience working in an Agile environment
Expertise in PostgreSQL (experience with GreenPlum a plus)
Expertise with Python, Java, or a similar object-oriented language
Proven success building and optimizing data workflows
Proven success architecting data pipelines
Proven success in scaling data solutions
Experience in root cause analysis
Prior experience partnering with IT a plus
Good written and oral communications skills
Strong project management and organizational skills
Experience with S3, Airflow, and PySpark a plus
3+ year(s) of experience (preferred) in a data engineering capacity, preferably on a data science or advanced analytics team
Bachelors or Masters (preferred) in Computer Science/Engineering or related field
We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities — all to create a compelling and rewarding work environment.
If you share our passion for data and you’re keen to play a key role in driving progress, this is your opportunity to develop with Dell.
Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Learn more about Diversity and Inclusion at Dell here (http://www.dell.com/learn/us/en/uscorp1/corp-comm/cr-equal-employment-opportunity?c=us&l=en&s=corp&cs=uscorp1) .
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