Data Engineer, Associate

Pacific Gas And Electric Company•Oakland, CA

2d•Hybrid

About The Position

We are looking for a Data Engineer to join our growing team of analytics experts. In this role you will work as part of cross functional teams, including data scientists, other data engineers, technology experts, and subject matter experts to develop data driven solutions. Successful candidates will be responsible for building, expanding, and optimizing our data, data storage, and data pipeline. This individual will support team members and decision products to ensure that data delivery is reliable and optimized. Qualified candidates will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation’s most advance smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG&E’s sustainability goals.

Requirements

BA/BS or equivalent experience in appropriate technical discipline (Computer Science, Management Information Systems or equivalent experience and/or related field of study)
1 year of experience with data engineering/ETL ecosystems such as Palantir Foundry, Spark, Informatica.
Python
PySpark
Database design fundamentals
Experience writing health checks, unit tests, integration tests, schema validations
Proven ability to translate business requirements into technical requirements
Ability to communicate with various stakeholders and leadership
Ability to breakdown an ambiguous problems

Nice To Haves

Typescript
Web application development
Experience with the Palantir Foundry platform
Experience working with data scientists and machine learning engineers
Front end tools: PowerBi, Tableau

Responsibilities

Work under the guidance of senior data engineers on moderate complexity data and analytics-centric problems which have broad impact and require in-depth analysis to obtain desired results.
Plans work to meet mutually agreed to objectives; reviews progress with team members regularly; documents work in a manner that is aligned with best practices
Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
Resolves application programming analysis problems of broad scope within procedural guidelines.
Actively participates in agile/scrum ceremonies (stand ups, planning, retrospectives, etc.)
Builds and conducts automated and user acceptances tests as part of an iterative development process
Promotes a continuous improvement mindset by engaging in after action reviews and sharing learnings
Assesses performance of individual data pipeline and broader data systems, suggests and may implement changes as required to meet individual project or enterprise maturity objectives
Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed with verified data quality and metadata is appropriately captured and catalogued
Work with team leadership to continually improve data driven decision making at PG&E via demonstrations, mentoring, disseminating best practices, etc.