Senior Data Engineer

Requisition ID # 154949 

Job Category: Information Technology 

Job Level: Individual Contributor

Business Unit: Information Technology

Work Type: Hybrid

Job Location: Oakland

 

 

Department Summary

 

The IT Data, Analytics, & Insights organization is an enterprise team that is responsible for working collaboratively across various lines of business (e.g., Gas Operations, Electric Operations, Safety, Energy Procurement, etc.) and is focused on unlocking the value of PG&E’s data to support the company’s Wildfire Safety Program and True North Strategy. As part of that focus, we focus on delivering data and AI/ML centric products to support these initiatives. Some of the products that are being delivered include Remote Inspections, AI Enabled Inspections, Vegetation Management through LiDAR capabilities, Transmission Line Asset Master, Electric Distribution Asset Master, Asset Risk Modeling, and a Cloud Native Foundational Platform.

 

A critical part of how we operate is to apply design thinking, work and observe the Agile development methodology, and co-location. Through these principles, we work as product teams to help deliver a valuable product to our business.

 

Position Summary

 

The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, analytic products, which includes data applications, reports, and dashboards. You should be a proactive, detail-oriented, and motivated individual who can thrive in a fast-paced environment and help us scale our analytic product development to meet our clients' ever-evolving needs. In this role, you will collaborate with our cross functional team including solution architects, data pipeline engineers, data analysts, and data scientists on mission critical initiatives and will ensure optimal delivery of analytic products.

 

You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation’s most advanced 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.

 

The role is hybrid working primarily from your remote office and the Oakland General Office, in-person, 1-2x monthly for collaboration or as business needs require.

 

PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed between the entry point and the middle of the range, the decision will be made on a case-by-case basis related to these factors.​ This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. 

 

A reasonable salary range is:​

 

Bay Area Minimum:             $118,000

Bay Area Maximum:            $188,000

 

Job Responsibilities

 

• Work closely with Subject Matter Experts (SMEs) to design and develop data model, data pipelines and front-end applications.
• Implement data transformations to derive new datasets or create ontology objects necessary for business applications.
• Monitor and debug critical issues such as data staleness or data quality
• Improve on performance of data pipelines (latency, resource usage)
• Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate)
• Implement data visualizations using Foundry Tools (Quiver and Contour).
• Maintain applications as usage grows and requirements change.
• Available for 7x24 operational support.

Qualifications

 

Minimum:

 

• Bachelor’s degree in computer science, engineering, or a related field.
• 5 years of experience as a data engineer or relevant work experience

 

Desired:

 

• Hands-on experience with building data pipelines from ingestion to final object delivery.
• Experience with developing analytic applications, reports, or dashboards
• Experience in using no- and low-code tools for developing analytic applications
• Strong SQL skills and experience working with large datasets and complex data structures.
• Complete profic