Jobs / Blo***
Data Engineer, Employee Technology Support
Blo*** · New York, NY, United States
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New York, NY, United States110,000-130,000 USD/yearlyOnsite
Remuneration
110,000-130,000 USD/yearly
Location
New York, NY, United States
Visa sponsorship
Sponsors visa
Job summary
As an integral member of the Employee Technology Support (ETS) team, you will go beyond collecting and reporting data to build the data foundation that improves support operations through engineering, automation, and scalable analytics.
Benefits
BonusThe referenced salary range is based on the Company's good faith belief at the tWe offer one of the most comprehensive and generous401(k) +match, life insurance, and various wellness programs, among others.The Company does not provideDirectly to contingent workers/contractors and interns.ACCOMMODATIONSBloomberg provides reasonable adjustment/accommodation to individuals with disabPlease tell us if you require a reasonable adjustment/accommodation to apply forEQUAL OPPORTUNITYBloomberg is an equal opportunity employer and prohibits discrimination in emplo
Qualifications
- into intuitive visualizations and actionable insights for technical and non-technical stakeholders.
- Collaborate with Engineering and Product teams to improve data architecture, reporting capabilities, and system scalability.
- Establish best practices around data modeling, pipeline design, reporting standards, and analytics development.
- Communicate project progress, findings, and recommendations to stakeholders and senior leadership.
- Own data solutions throughout their lifecycle, ensuring they remain accurate, reliable, and aligned with evolving business needs.
- You'll need to have
- Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Information Systems, Data Analytics, or a related STEM discipline.
- 3+ years of experience building data engineering, business intelligence, or analytics solutions.
- Advanced SQL
Responsibilities
- You will design the pipelines, data models, and reporting platforms that turn raw operational data into trusted, decision-ready information across the organization.
Skills
CommunicationLeadership
Degrees
AssociateBachelorDegree
Industry
AutomotiveEducationEnergyInsurance
Company size
EnterpriseSmb