Title: Senior, Data Engineer - Reliability Data Location: Oakland United States Job Description: Requisition ID # 172361 Job Category: Information Technology Job Level: Individual Contributor Business Unit: Strategy & Growth Work Type: Hybrid Job Location: Oakland Department Overview The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E's Electric Reliability Strategy and initiatives. Within this department the Reliability Data team is on point for a key role is developing and curating all reliability data and data pipelines so that they meet auditable standards. Position Summary Designs, develops, and leads the implementation of data pipelines and processes to extract, transform, and deliver high-quality reliability data from diverse and complex sources. Defines and applies transformation logic to ensure data is accurate, consistent, and structured to meet enterprise stakeholder needs. Establishes and maintains comprehensive metadata, including data lineage, transformation logic, and audit documentation, to support transparency, governance, and regulatory compliance. Supports the System Performance, Reliability and Resiliency Strategy team by ensuring the availability of accurate, auditable, and actionable data used to inform PG&E's Electric Reliability Strategy and initiatives. Drives improvements in data quality, pipeline performance, and governance practices to meet evolving regulatory and business requirements. Leads collaboration with cross-functional teams, data owners, and leadership to resolve complex data challenges, enhance data processes, and align solutions with enterprise objectives. Provides guidance to junior team members and contributes to the development of best practices and continuous improvement across the data lifecycle. This position follows a hybrid work model, requiring employees to report to their assigned office location at least two or three days per week. The remaining days may be worked remotely, depending on business needs. The headquarters is located in the Oakland General Office. 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, particular skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors. This job can also participate in PG&E's discretionary incentive compensation programs. A reasonable salary range is: Bay Area Minimum: $122,000 Bay Area Mid-Point: $158,000 Bay Area Maximum: $194,000 Job Responsibilities - Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed. - Partners with various departments to understand and incorporate standards information and requirements into work procedures. - Deploys machine learning algorithms in production environments. - Resolves application programming analysis problems of moderate to complex scope within procedural guidelines. May seek assistance from the supervisor or more skilled programmers/analysts on unusual or especially complex issues that cross multiple functional/technology areas. - Works on complex data and analytics-centric problems having a moderate impact that require in-depth analysis and judgment to obtain results or solutions - Plans work to meet assigned general objectives; progress is reviewed upon completion, and solutions may provide an opportunity for creative/non-standard approaches. - Communicates (oral and written) recommendations. - Mentors/guides less experienced colleagues. Qualifications Minimum: - BA/BS in Computer Science, Management Information Systems, related field of study, or equivalent experience. - 5 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE. Desired: - Experience with machine learning algorithm deployment. Knowledge, Skills, Abilities, and Competencies: - Business Intelligence and data access tool knowledge. - Knowledge of software engineering principles such as unit testing, CI/CD, and source control.

Role Description Looking for Filipino (Philippines-based) candidates for the role of VA Ops, Ecomm, Market Coordinator. Compensation range: $2000 AUD / Monthly Engagement type: Independent Contractor Agreement Work Schedule: This role is expected to align with the AU business hours (approx. 9 AM - 5 PM, Monday to Friday) for collaboration, but as a contractor, you’ll have flexibility in how you manage your time. This is a hybrid, multi-functional support role working closely with management to drive day-to-day operations and business efficiency. You’ll be a key contributor across ecommerce, marketing, administration, systems coordination, and customer support, helping keep everything organised, on track, and running smoothly. The right person is highly organised, proactive, and comfortable working across multiple areas of the business. You take ownership of your work, support workflow efficiency, and contribute to improving systems, online presence, and overall customer experience across a growing operation. Key Responsibilities - Ecommerce & Website Management - Upload and maintain products on Shopify - Update pricing, collections and product information - Assist with website updates and landing pages - Maintain online sporting club portals - Help organise online product categories and navigation - Assist with online promotions and campaigns - Monitor and update ecommerce content - Assist with SEO and product descriptions - Marketing & Social Media Support - Create and schedule social media content - Assist with Canva graphics and marketing materials - Support email marketing campaigns - Help organise marketing calendars and promotions - Assist with reels, video content and basic editing - Maintain brand consistency across all platforms - Support promotional campaigns and seasonal sales - Assist with content planning and execution - Systems & Operations Support - Assist with POS and product database management - Maintain spreadsheets and reporting systems - Support workflow organisation and process improvement - Assist with inventory and product management - Help with file organisation and cloud storage systems - Support automation and system integration projects - Create and maintain SOPs and process documentation - Assist management with operational projects - Administration & Customer Support - Assist with customer follow-ups and communication - Manage emails and basic administration tasks - Data entry and order management support - Coordinate with internal staff and suppliers - Assist with customer service enquiries - Help organise business documentation and records - Support management with day-to-day operations Qualifications - Excellent English communication skills - Strong organisational skills and attention to detail - Shopify or ecommerce platform experience - Canva experience - Strong computer and technology skills - Ability to multitask and manage deadlines - Positive attitude and willingness to learn - Reliable internet connection and work setup - Ability to work independently and proactively Requirements - Experience using AI tools such as ChatGPT, Canva AI or automation platforms - Understanding of how AI can improve productivity, marketing and workflow efficiency - Experience with Australian businesses - POS or inventory management experience - Social media marketing experience - Graphic design experience - Basic video editing experience - Google Sheets / Excel experience - Automation tools experience (Zapier, Make, etc.) - Experience in apparel, retail, ecommerce or print industries - Understanding of garment decoration processes such as embroidery, DTF, sublimation or screen printing Personal Attributes - Takes initiative - Is proactive and solutions-focused - Can work independently - Learns quickly - Is highly organised - Has strong communication skills - Wants to grow long term with the business - Can help improve systems and efficiency over time - Is interested in technology, automation and AI tools - Has a positive attitude and strong work ethic Key Performance Indicators (KPIs) - Accuracy and quality of work - Task completion and turnaround times - Organisation and workflow improvement - Ecommerce and website maintenance - Marketing consistency and scheduling - Communication quality - Ability to follow systems and processes - Initiative and problem-solving ability - Contribution to operational efficiency Software & Platforms Used - Shopify - Canva - Google Workspace - Microsoft Office - POS Systems - Social Media Platforms - Dropbox / Cloud Storage - AI Tools & Automation Platforms - AI Content & Productivity Tools - Ecommerce & Portal Platforms Growth Opportunities - Operations Management - Ecommerce Management - Marketing Coordination - Systems Administration - Project Coordination Why Join Us? - Long-term career opportunity - Work with growing Australian businesses - Supportive and fast-paced environment - Opportunity to help shape systems and processes - Variety across multiple brands and industries - Strong opportunity for personal and professional growth Work Arrangement & Expectations This is a remote role that will be set up as an independent contractor engagement. To ensure alignment and transparency, successful candidates will be expected to: - Be available for meetings and collaboration during core [AEST or PHT] business hours - Disclose any existing ongoing roles or client work - Reflect this engagement on their LinkedIn profile (clearly marked as “Independent Contractor”)

Role Description As a Senior Site Reliability Engineer, you'll build and scale the critical infrastructure behind every product. In this role, you'll take on complex challenges across global data centers, multiple cloud platforms, and on-premise systems—designing automation-first solutions that elevate performance and eliminate operational friction. You'll be trusted to drive stability at scale, influence architectural decisions, and build tools that empower our teams to move fast and deliver reliably. This is where your impact won't just be felt, it'll be foundational. What You'll Do - Drive stability and scalability across our global compute platform spanning numerous data centers, multiple public clouds, and on-premise environments, serving as the foundation for every product. - Operate and evolve our GitOps delivery model, using Rancher Fleet and Flux with Helm to deploy core cluster services and application workloads declaratively and repeatably. - Build self-healing, fault-tolerant infrastructure and internal tooling that eliminates repetitive operational work and reduces toil for both platform and application teams. - Own cluster autoscaling and capacity strategy, including Karpenter, HPA and KEDA, and predictive scaling driven by event and calendar data. - Define SLOs and reliability metrics for platform components, using Datadog and our logging pipeline to surface cluster and workload health. - Support technical growth by sharing knowledge, participating in design discussions, and contributing to a collaborative team culture, including on-call rotation. Qualifications - Bachelor's degree in Computer Science or relevant education, experience, and training. - At least 4 years managing distributed cloud and on-premise environments at scale, with strong hands-on AWS experience. Exposure to GCP, vSphere, or Nutanix is a plus. - Deep expertise in container orchestration with Kubernetes, including the ability to design, scale, and troubleshoot complex workloads. - Strong experience developing software for automation and infrastructure tooling such as Go and Python. - Working knowledge of networking and Linux-based systems, including container runtimes such as Docker and containerd, packet-level debugging, and kernel troubleshooting. - Experience with Infrastructure as Code (IaC) and configuration management tools to ensure scalable and repeatable infrastructure provisioning. Benefits - The US base salary range for this full-time position is 128,000.00 USD - 160,000.00 USD, plus bonus, equity, and benefits as applicable. - Our ranges are determined by role, level, and location. - The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. - Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. - Your recruiter can share more about the specific pay range and how that was determined during the hiring process. - It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

• Design, build, and maintain CI/CD pipelines using GitLab CI/CD, Jenkins, and GitHub Enterprise • Develop and manage Infrastructure as Code (IaC) using AWS-native tools and automation frameworks • Build and optimize cloud-native deployment pipelines on AWS (EC2, S3, Lambda, ECS/EKS) • Develop and maintain containerized applications using Docker and Kubernetes orchestration • Implement automation scripts using Bash, PowerShell, and Python • Support continuous integration, continuous delivery, and continuous deployment (CI/CD) best practices • Collaborate with Site Reliability Engineering (SRE) on system reliability, scalability, and performance optimization • Manage multi-tenant distributed systems and microservices architectures