National Grid Senior Data Engineer in Waltham, Massachusetts
Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.
To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.
National Grid is Hiring a Senior Data Engineer in our Waltham, MA location.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, data analysts and data scientists within the Advanced Data & Analytics (ADA) teamon data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.Development is expected to be cloud ready, taking full advantage of cloud services and tools that are necessary in the functional realm of advanced big data and analytics.
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Bachelor’s degree in a computer science, Statistics, Informatics, Information Systems or another quantitative field. Master’s degree is strongly preferred, with a background in computer programming
5+ years of experience in a Data Engineer role
Minimum of 3-5 years’ experience in advanced data processing and software development is desired.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Experience using the following software/tools: AWS cloud services: EC2, EMR, RDS, RedshiftSAS
Excellent communication Skills
Fully versed in various Operating System environments: Windows Server and Linux, system task scheduling, Bash programming
Knowledge of networks and firewalls
Ability to write code in one or more scripting languages: spark, R, Python
Has in-depth experience working with SQL Databases (Oracle, SQLServer, PostgreSQL)
Software engineering skills (e.g. distributed computing, algorithms and data structures)
Ability to follow through on project management best practices.
Ability to design and develop software solutions that can be leveraged across multiple projects and have scale for the future
2-3 years of Spark and Python development experience, SQL, NoSQL, and data warehousing concepts, RDBMS, designing and developing cloud-based object-oriented software solutions and AWS Cloud covering EMR
1 Year experience of SAS
Exposure to IBM JCL
This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Internal candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.
National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.