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Data Engineer Cdp Jobs in California (NOW HIRING)

Stefanini Group

Data Engineer

San Francisco, CA · Hybrid

$134K - $161K/yr

The Common Data Platform (CDP) is an exciting new, multi-district program to create a cloud based ... As a Data Engineer, this contingent worker will be responsible for collecting, parsing, managing ...

Stefanini Group

Data Engineer

San Francisco, CA · Hybrid

$134K - $161K/yr

The Common Data Platform (CDP) is an exciting new, multi-district program to create a cloud based ... As a Data Engineer, this contingent worker will be responsible for collecting, parsing, managing ...

Stefanini

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The Common Data Platform (CDP) is an exciting new, multi-district program to create a cloud based ... As a Data Engineer, this contingent worker will be responsible for collecting, parsing, managing ...

Stefanini Group

Data Engineer

San Francisco, CA · Hybrid

$134K - $161K/yr

The Common Data Platform (CDP) is an exciting new, multi-district program to create a cloud based ... As a Data Engineer, this contingent worker will be responsible for collecting, parsing, managing ...

Stefanini Group

Data Engineer

San Francisco, CA · On-site

$107 - $113.33/hr

The Common Data Platform (CDP) is an exciting new, multi-district program to create a cloud based ... As a Data Engineer, this contingent worker will be responsible for collecting, parsing, managing ...

TikTok

Ads Targeting Data Engineer, Ads Core

San Jose, CA · On-site

$156K - $316K/yr

... SE/Data Engineering or related fields - 3+ years (adjustable) in data engineering/platform roles ... DMP/CDP - Real-time profile or low-latency serving at scale (high QPS, caching/consistency ...

Salvation Army

Analytics Manager

Rancho Palos Verdes, CA · On-site

$90K - $100K/yr

The role works closely with the Data Engineer on Snowflake and CDP architecture, collaborates with major gift and relationship fundraising staff to build a robust pipeline that supports one-to-one ...

Cloudera

Staff Software Engineer - Trino

San Jose, CA · On-site

$184K - $230K/yr

We are looking for engineers with experience in architecting and developing parallel and distributed SQL query engines to help drive innovation in Cloudera Data Platform (CDP). There is ample scope ...

New

Adobe

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

They are seeking an AEP Lead Data Solutions Engineer to collaborate within the Adobe Experience ... Time CDP, Adobe Journey Optimizer, Customer Journey Analytics • Minimum 7-10 years in a lead or ...

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Data Engineer Cdp information

What are Data Engineer CDPs?

Data Engineer CDPs (Customer Data Platforms) are professionals who specialize in designing, building, and maintaining data infrastructure for customer data platforms. They are responsible for collecting, processing, and integrating large volumes of customer data from multiple sources to ensure that the data is accurate, clean, and accessible for marketing, analytics, and business intelligence. Their work enables organizations to create unified customer profiles and deliver personalized experiences across channels. Data Engineer CDPs often work closely with data scientists, analysts, and marketers to support data-driven strategies and compliance with privacy regulations.

How do Data Engineers working with Customer Data Platforms (CDPs) typically collaborate with marketing and analytics teams?

Data Engineers in CDP environments frequently collaborate with marketing and analytics teams to ensure data pipelines are optimized for campaign personalization and customer insights. They translate business requirements into technical solutions, enabling real-time data integration and accessibility for non-technical users. Regular communication is essential to align on data quality, privacy compliance, and the evolving needs of user segmentation, making teamwork and clear documentation key to success in this role.

What are the key skills and qualifications needed to thrive as a Data Engineer CDP, and why are they important?

To thrive as a Data Engineer CDP, you need strong expertise in data modeling, ETL processes, and database management, often backed by a degree in computer science or a related field. Familiarity with cloud data platforms (such as AWS, Azure, or GCP), experience in programming languages like Python or Scala, and certifications in specific CDP tools (like Cloudera or Snowflake) are typically required. Analytical thinking, problem-solving, and effective communication are critical soft skills for collaborating with cross-functional teams and translating business needs into technical solutions. These skills ensure robust, scalable data architectures and enable efficient data-driven decision-making across the organization.
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What job categories do people searching Data Engineer Cdp jobs in California look for? The top searched job categories for Data Engineer Cdp jobs in California are:
What cities in California are hiring for Data Engineer Cdp jobs? Cities in California with the most Data Engineer Cdp job openings:
Data Engineer Cdp jobs near you
Data Engineer

Data Engineer

Stefanini Group

San Francisco, CA • Hybrid

$134K - $161K/yr

Contractor

Posted 4 days ago

Job description

Stefanini Group is hiring!
Stefanini is looking for Data Engineer-Hybrid(Various locations in USA)
For quick apply, please contact Ayush Dwivedi; Ph: 248 728 2636
Ayush.dwivedi@stefanini.com
 
W2 Candidates Only!
 
About Role: 
The Common Data Platform (CDP) is an exciting new, multi-district program to create a cloud based, end-to-end data management platform to reduce data cost and improve user experience. 
 
The CDP program team is comprised of members using the Scaled Agile Framework for Enterprises (SAFe) to provide incremental and iterative business value. This is a unique and exciting opportunity to be part of a team on the leading edge of data management and consumption. 
 
As a Data Engineer, this contingent worker will be responsible for collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into actionable insights. They will work across multiple platforms to ensure that data pipelines are scalable, repeatable, and secure, capable of serving multiple users.
 
Responsibilities:
  • Design, develop, and maintain robust and efficient data pipelines to ingest, transform, catalog, and deliver curated, trusted, and quality data from disparate sources into our Common Data Platform.
  • Actively participate in Agile rituals and follow Scaled Agile processes as set forth by the CDP Program team.
  • Deliver high-quality data products and services following Safe Agile Practices.
  • Proactively identify and resolve issues with data pipelines and analytical data stores.
  • Deploy monitoring and alerting for data pipelines and data stores, implementing auto-remediation where possible to ensure system availability and reliability.
  • Employ a security-first, testing, and automation strategy, adhering to data engineering best practices.
  • Collaborate with cross-functional teams, including product management, data scientists, analysts, and business stakeholders, to understand their data requirements and provide them with the necessary infrastructure and tools.
  • Keep up with the latest trends and technologies, evaluating and recommending new tools, frameworks, and technologies to improve data engineering processes and efficiencies.
 
#LI-AD2
#LI-HYBRID

Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
  • 2+ years' experience with tools such as Databricks, Collibra, and Starburst.
  • 3+ years' experience with Python and PySpark.
  • Experience using Jupyter notebooks, including coding and unit testing.
  • Recent accomplishments working with relational and NoSQL data stores, methods, and approaches (STAR, Dimensional Modeling).
  • 2+ years of experience with a modern data stack (Object stores like S3, Spark, Airflow, Lakehouse architectures, real-time databases) and cloud data warehouses such as RedShift, Snowflake.
  • Overall data engineering experience across traditional ETL & Big Data, either on-prem or Cloud.
  • Data engineering experience in AWS (any CFS2/EDS) highlighting the services/tools used.
  • Experience building end-to-end data pipelines to ingest and process unstructured and semi-structured data using Spark architecture.
 
 
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.
 
About Stefanini Group:
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company
Education:Bachelor (BA, BS...)Employment Type: CONTRACTOR

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