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Data engineer Jobs in Oakland, CA

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Data engineer • oakland ca

Last updated: 1 day ago

Data Engineer, Expert

Pacific Gas and Electric CompanyOakland, CA, US
Full-time

Designs, develops, modifies, configures, debugs and evaluates jobs for extracting data from various sources, implements transformation logic, and stores data in various formats fit for use by stake...Show more

Data Engineer

Patreon, Inc.San Francisco
Full-time

Patreon is the best place for creators to build memberships by providing exclusive access to their work and a deeper connection with their communities.We’re building a content and community platfor...Show more

Data Engineer

AdobeSan Francisco
Full-time

Changing the world through digital experiences is what Adobe’s all about.We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital exper...Show more

Data Engineer ID50062

AgileEngineSan Francisco, CA, us
Full-time

Fortune 500 brands and trailblazing startups across 17+ industries.We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Bes...Show more

Lead Data Engineer

QcellsSan Francisco, CA, US
Full-time

This role provides technical leadership in designing and optimizing ETL/ELT frameworks using Azure data services (Fabric, Data Lake, Data Factory), integrating data from ERP, CRM, and operational s...Show more

Data Engineer (ML Platform & Data Foundations)

Intuitive SurgicalSan Francisco, CA, United States
Full-time

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at.We’re a team of engineers, clin...Show more

Snowflake Data Engineer

KomforceSan Francisco, California, United States
Remote
Full-time
Quick Apply

We are looking for a Snowflake Data Engineer to join an insurance-focused delivery team supporting a major client programme.This is a hands-on engineering role for someone who is strong in Snowflak...Show more

Data Engineer - Senior Manager

PwCSan Francisco,CA
Full-time

SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.They play a crucial role...Show more

Data Engineer

Axelon Services CorporationOakland, CA, US
Full-time

Summary: Location: Oakland, CA Duration: 8 Months Responsibilities: Build and maintain backend datasets and transformations in Palantir Foundry Develop React TypeScript frontend components for comp...Show more

 • Promoted

Data Engineer, Senior

Axelon Services CorporationOakland, CA
Full-time

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

Data Systems Software Engineer

Berkeley LabBay Area, California, US
Full-time

Lawrence Berkeley National Laboratory is hiring a.Data Systems Software Engineer.In this exciting role, you will work with researchers and application scientists from the DOE Office of Science comm...Show more

Software Engineer - Data Production

Replica Inc.San Francisco, CA, US
Full-time
Quick Apply

Software Engineer (Data Production Team) San Francisco, New York, Or Kansas City Replica is a privacy-centric urban data platform that delivers critical insights about the built environment.With be...Show more

Data Engineer

eClerxSan Francisco, California, United States
Full-time

Location: Florida, Austin, NY, San Francisco, San Jose California, Chicago.Type: Full-time (Hybrid working) .The role involves leveraging data from multiple third-party sources as well as internal ...Show more

Senior Data Engineer

Global Technical TalentOakland, CA
Full-time

Leading natural gas and electric energy company serving millions of customers across the United States.Offers reliable energy delivery and a positive work environment.Local candidates strongly pref...Show more

Senior Data Engineer

ZendeskSan Francisco, California, United States of America
Full-time

Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Data Engineer to join our growing data engineering team.You’ll work in a collaborative Agile environment using the latest ...Show more

Software Engineer (Big Data)

QuantcastSan Francisco, CA
Full-time

At Quantcast, we don't just build advertising technology, we revolutionize how it works.Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audi...Show more

Data Engineer

Go Car InsuranceSan Francisco, CA
Full-time

The data we gather, organize, and share enables some of what we think is the most compelling map infra.It is built from real-time events happening globally, historical structured data, and even som...Show more

Sr Data Engineer

Disney Entertainment and ESPN Product & TechnologySan Francisco, California, United States
Full-time

Disney Entertainment and ESPN Product & Technology.Technology is at the heart of Disney’s past, present, and future.Disney Entertainment and ESPN Product & Technology is a global organization of en...Show more

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Data Engineer, Expert

Data Engineer, Expert

Pacific Gas and Electric CompanyOakland, CA, US
16 days ago
Job type
  • Full-time
Job description

Position Summary

Designs, develops, modifies, configures, debugs and evaluates jobs for extracting data from various sources, implements transformation logic, and stores data in various formats fit for use by stakeholders. Collects metadata about jobs including data lineage and transformation logic. Works with teams, clients, data owners and leadership throughout the development cycle practicing continuous improvement.

This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the Bay Area of the PG&E Service Territory.

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 towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.

Bay Minimum: $140,000
Bay Maximum: $238,000

This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

Job Responsibilities

  • Leads a team on moderately complex to complex data and analytics-centric problems having broad impact that require in-depth analysis and judgment to obtain results or solutions.
  • May contribute to the resolution of uniquely complex data and analytics-centric problems having significant impact
  • 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.
  • Provides assistance to other programmers/analysts on unusual or especially complex problems that cross multiple functional/technology areas.
  • Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed with verified data quality and metadata is appropriately captured and catalogued.
  • Collaborates with peers to develop departmental standards, norms, and new goals/objectives.
  • Plans work to meet assigned general objectives; reviews progress regularly and solutions may provide an opportunity for creative/non-standard approaches.
  • Assesses data pipeline performance and suggests/implements changes as required.
  • Communicates (oral and written) recommendations.
  • Mentors/provides guidance to less experienced colleagues.

Qualifications

Minimum:

  • BA/BS in Computer Science, Management Information Systems or related field of study, or equivalent experience
  • 7 years of experience with data engineering/ETL ecosystems such as AWS/Palantir Foundry, Spark, Python, SQL, Tableau/OBIEE
  • Experience with multiple data engineering/ETL ecosystems
  • Experience with machine learning algorithm deployment

Desired:

  • Masters Degree in Computer Science or job-related discipline or equivalent experience
  • Leadership experience, development teams
  • Business Intelligence and data access tool expertise.
  • Knowledge of software engineering principals such as unit testing, CI/CD, source control.