Data engineer • berkeley ca
Snowflake (advanced), Informatica (advanced), dbt (advanced), AWS (advanced), CI/CD (advanced).This role is a hands-on technical leadership position focused on the strategic design, ongoing operati... Show more
Full-Stack Data Platform Engineer.We’re building Reflow, a workforce and workflow intelligence platform that helps teams deeply understand how work gets done.As we scale, the data we collect is bec... 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
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Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.By connecting every business system to one sou... Show more
Product Owner, Data Analytics (Dataiku AI/ML) Or Data Engineer (AI/ML Dataiku) Or Similar Data Analytics Developer With AI/ML (Dataiku).Minimum of 7+ years of (current) experience as a Product Own... 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
Data Entry Clerk Job Duties: Maintains database by entering new and updated customer and accou... 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
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
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This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; San Francisco Bay Area, CA; and Seattle/WA.WE... 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
Job Title: Senior Data Engineer.Assignment Type: Full time, direct hire.Work Schedule: Hybrid, 1 day a week.Benefits: This position is eligible for medical, dental, vision, and 401(k).We’re looking... Show more
Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies again... Show more
Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology.From developing go-to-m... Show more
Clinical Data Management Director.The Clinical Data Management (CDM) Director is a highly experienced and influential leader with expert knowledge of Clinical Data Management concepts and processes... Show more
Senior Pipeline Data Integration Lead / Technical PM.The Senior Pipeline Data Integration Lead / Technical PM will lead delivery of a project focused on correlating and standardizing legacy EMAT an... 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 .
This role is a hands-on technical leadership position focused on the strategic design, ongoing operation, and continuous improvement of enterprise-wide data platforms. You will own key data engineering technologies and serve as the central point of contact for various partner organizations. Emphasis is placed on ensuring platforms are secure, scalable, cost-effective, and adhere to enterprise standards.
Key Responsibilities:
Must-Have Skills:
Experience in large enterprise or regulated environments is preferred, particularly supporting federated development teams utilizing shared data platforms.
