Staff Data Engineer: Build Scalable Data Platforms - Hybrid

Early Warning®

New York (NY)

Hybrid

USD 174,000 - 223,000

Full time

14 days+

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Benefits offered by this job

Healthcare Coverage

401(k) Matching

Paid Time Off

Parental Leave

Maven Family Planning

Job summary

Early Warning Services seeks a senior data engineering leader to advance our data architecture, platform development, and machine learning initiatives. You will own end-to-end delivery of complex data solutions, collaborate with product and design teams, and guide multiple teams toward scalable, secure, and high-performance systems in a hybrid work environment across major U.S.

cities. The role requires 8+ years in data platforms, big data, and cloud solutions, with deep expertise in SQL,

Qualifications

Education and/or experience typically obtained through a Bachelor's degree in computer science or related technical field.
Typically, eight or more years of relevant related experience
Seven or more years of experience in the development of complex data platform, distributed systems, SaaS, cloud solutions, micro services.
Six or more years of experience in the development of Data Warehouse, Big Data -- structured & unstructured platforms, real-time & batch processing, data standards.
Four or more years of experience in development of Business Intelligent Solutions
Two or more years of experience in development / operationalization of AI/ML models.

Responsibilities

Build data strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
Participate in the strategic development of methods, techniques, and evaluation criteria for projects and programs.
Drive all aspects of technical and data architecture, design, prototyping and implementation in support of product needs and technology data strategy.
Provide leadership and technical expertise in support of building a technical plan and backlog of stories, then execute design and build process through to production delivery.
Guide a broad functional area and lead efforts with the team’s planning.
Represent engineering in cross-functional sessions and persuade others to reach agreement or change behavior.
Collaborate with product managers, designers, and other engineering groups to conceptualize and build new features and create product descriptions.
Own features or systems and define their long-term health, while improving surrounding systems.
Assist Support and Operations teams in identifying and resolving production issues.
Develop and implement tests for quality, performance, and scalability of the application.
Seek ways to improve engineering and data standards, tooling, and processes.
Support the company’s risk management and protect data integrity.