National Grid is seeking a Staff Data Engineer to help make critical data available to business teams through end-to-end, high-quality pipelines. In this hybrid role, you will use agile practices to deliver rigorous engineering standards while also contributing to modernization efforts across data architecture, integrations, and streaming event processing.

As a Staff Data Engineer, you will play a hands-on role in building scalable solutions for data collection, storage, distribution, modeling, and analysis, and you will help shape how the organization prioritizes and plans technical work.

Job Purpose

Join the Data Engineering team focused on ensuring business teams at National Grid have access to critical data.
Use an agile framework to build end-to-end pipelines grounded in rigorous engineering standards and coding practices.
Contribute to modernization of architecture and tools to improve output, scalability, and speed.
Design and develop highly scalable, extensible data pipelines that support collection, storage, distribution, modeling, and analysis of large datasets from many channels.
Support an emphasis on data and data quality, with strong data warehousing and API integration experience.

Responsibilities

Own the assembly of architectural plans and project artifacts, serving as a driver of system architecture beyond individual team scope.
Execute on large organizational projects and break down work for yourself and others.
Integrate work across the organization by identifying edge cases and exception states.
Participate in architectural designs and provide software design expertise on and off the team.
Seek solutions that extend beyond immediate team needs by generalizing approaches to broader organizational problems where appropriate.
Understand and incorporate company-wide key technology frameworks, including occasional contribution to core engineering solutions.
Proactively anticipate what is next for the team and for the organization on the technical roadmap.
Drive the organization’s technical roadmap by participating in prioritization and planning.

Requirements

Lead the Data Engineering team to develop, test, document, and support scalable data pipelines.
Build new data integrations, including APIs, to support increases in data volume and complexity.
Establish and follow data governance processes and guidelines to ensure data availability, usability, consistency, integrity, and security.
Build and implement scalable solutions aligned with data governance standards and architectural roadmaps for integrations, storage, reporting, and analytics.
Collaborate with analytics and business teams to improve data models that feed business intelligence tools and support data-driven decision making.
Design and develop data integrations and a data quality framework.
Write unit, integration, and functional tests, and document work.
Design, implement, and automate deployment for a distributed system that collects and processes streaming events from multiple sources.
Perform data analysis to troubleshoot data-related issues and support resolution efforts.
Guide and mentor junior engineers on coding best practices and optimization.

Working Model and Location

Hybrid working model.
Based out of Waltham, MA or Brooklyn, NY office; hybrid work expectations are subject to business needs and company policy.
Location also listed as Syracuse, NY (hybrid).

Salary

Syracuse: USD 135,000 - 158,000 per year
Waltham: USD 151,000 - 177,000 per year
Brooklyn: USD 162,000 - 190,000 per year

Additional Information

National Grid will not provide visa sponsorship for this position now or in the future; you must be able to work without current or future visa sponsorship.
National Grid uses an assessment that evaluates job qualifications and characteristics using AI or statistically based scoring.
The role includes a career path with advancement opportunities within and across bands as experience and technical skills grow.
Candidates will be assessed and provided offers based on minimum qualifications and individual experience.

Staff Data Engineer