Data engineer • berkeley ca
Supports the design, development, and maintenance of data pipelines and processes used to extract, transform, and deliver reliability data from a variety of sources.Assists in implementing data tra... Show more
We are hiring Vehicle Operators to support a growing autonomous driving program focused on real-world data collection and testing.In this role, you will operate test vehicles on assigned routes, he... Show more
Data Entry Clerk Job Duties: Maintains database by entering new and updated customer and accou... Show more
Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents th... Show more
Serves as a recognized industry expert in reliability data engineering and analytics, leading the design, governance, and advancement of enterprise data capabilities that underpin PG&E’s reliabilit... Show more
Put your Insurance Experience to work – FROM HOME!.Our unique platform provides you with.WHAT YOU’LL LOVE ABOUT WAHVE.We created a welcoming place to work with friendly and professional... Show more
The Data Acquisition Team is the entry point to WEX’s Data-as-a-Service (DaaS) platform—responsible for ingesting, validating, and orchestrating raw data from dozens of internal systems and third-p... Show more
Vanguard Personalized Indexing (VPI) is a rapidly growing business within Financial Advisor Services.We enable financial advisors to deliver tax‑efficient, customized direct indexing portfolios at ... Show more
Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents th... Show more
Open to all US candidates that can work - pm PST.The Data Engineering Platform Lead is responsible for the overall design, operation, and evolution of enterprise data platforms supporting analytics... Show more
We are looking for a talented Data Analyst to join one of our the most growing series A startup in the Bay Area.As a Data Analyst, you will be responsible for collecting, analyzing, and interpretin... Show more
Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources.We are looking for stron... Show more
Serves as a recognized subject matter expert in the design, development, and governance of reliability data and data pipelines supporting enterprise reliability and resilience strategy.Leads the ar... Show more
Role : Snowflake Data Engineer<br /> Location: Alameda, California (1-2 Days Hybrid) / Locals Prefered<br /> Duration : Long Term Contract<br /> Experiences : 13+ Years <br /&... Show more
Work-From-Home Data Entry Research Panelist.Join Our Team as a Work-From-Home Data Entry Research Panelist! Are you ready to earn money from the comfort of your own home? This exciting opportunity ... Show more
Build and maintain backend datasets and transformations in Palantir Foundry.Develop React TypeScript frontend components for compliance reporting.Integrate Foundry datasets with frontend views and ... Show more
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... Show more
Open to all US candidates that can work 8 - 5pm PST.The Data Engineering Platform Lead is responsible for the overall design, operation, and evolution of enterprise data platforms supporting analyt... Show more
Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies again... Show more
Failing Interviews/No Interviews or no Offers Isn’t for a Lack of Experience.It’s for the Lack of a relevant Updated Tech stack! Rejections can be discouraging, but they don’t reflect your true pot... Show more
The average salary range is between $ 120,500 and $ 166,927 year , with the average salary hovering around $ 145,000 year .
The average salary range is between $ 105,570 and $ 172,017 year , with the average salary hovering around $ 130,000 year .
Position Summary
Supports the design, development, and maintenance of data pipelines and processes used to extract, transform, and deliver reliability data from a variety of sources. Assists in implementing data transformation logic and ensuring data is properly structured and accessible for stakeholder use. Helps document metadata, including data lineage and transformation rules, to support transparency and auditability.
Contributes to the System Performance, Reliability and Resiliency Strategy team by supporting the development and curation of reliability data used in PG&E’s Electric Reliability Strategy and initiatives. Assists in maintaining data quality and ensuring data pipelines align with established governance and audit standards.
Collaborates with team members, data owners, and stakeholders to support project execution, resolve data issues, and improve data processes over time. Participates in the analytics lifecycle and develops foundational skills across data engineering, analysis, and continuous improvement practices.
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 may pay for this position at the time of the job posting. This compensation range is specific to the job's locality. 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 for this role will be placed toward the middle or entry point of the range, the decision will be made on a case-by-case basis based on these factors. This job can also participate in PG&E’s discretionary incentive compensation programs.
The hourly rate for this position ranges from $37.50 to $59.62.
Job Responsibilities
• Assembles large, complex sets of data that meet non-functional and functional business requirements.
• Builds high-performance data pipelines and prototypes that enable business use of the data.
• Builds infrastructure for optimal extraction, transformation, and loading of data from various data sources.
• Understands business requirements and applies them to complex software engineering and analysis.
• Communicates (oral and written) recommendations with peers inside the department.
• Partners with team members to understand and incorporate standards information and requirements into work procedures.
• Identifies and analyzes departmental standards, norms, and new goals/objectives.
• Assists in data, design, product, and executive teams with data-related technical issues.
• Understands the infrastructure that allows big data to be accessed and analyzed.
• Utilizes department standard issue tracking, source control, and documentation tools.
Qualifications
Minimum:
• BA/BS in Computer Science, Management Information Systems, or related field of study, or equivalent experience.
Desired:
• 1 year of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, or OBIEE.
• Experience with data engineering and data transformations via a training or apprenticeship program is acceptable.
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.
