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Contract Data Platform Engineer Jobs in California

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

As aData Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful ...

Sr. Data Platform Engineer

San Francisco, CA · On-site

$134K - $161K/yr

... and contract lifecycle management (CLM). What you'll do The Data and AI Platform Engineer will ... design, build, and operate our next-generation data and AI platform, enabling high-quality ...

Sr. Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... and contract lifecycle management (CLM). What you'll do The Data and AI Platform Engineer will ... design, build, and operate our next-generation data and AI platform, enabling high-quality ...

As a Data Platform Engineer at Astronomer, you'll be a key partner to our clients, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll have the chance to ...

New

AI Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI data platforms that enable GenAI, Agentic AI, and Embodied AI solutions across the enterprise. You ...

AI Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI data platforms that enable GenAI, Agentic AI, and Embodied AI solutions across the enterprise. You ...

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI data platforms that enable GenAI, Agentic AI, and Embodied AI solutions across the enterprise. You ...

New

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI data platforms that enable GenAI, Agentic AI, and Embodied AI solutions across the enterprise. You ...

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI data platforms that enable GenAI, Agentic AI, and Embodied AI solutions across the enterprise. You ...

About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems ... Own integration reliability end to end: schema contracts, versioning, retries, backfills, and ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems ... Own integration reliability end to end: schema contracts, versioning, retries, backfills, and ...

About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems ... Own integration reliability end to end: schema contracts, versioning, retries, backfills, and ...

About the Job As a Data Platform Engineer, Data Pipelines, you will design and build the systems ... Own integration reliability end to end: schema contracts, versioning, retries, backfills, and ...

New

About the Job As a Data Platform Engineer, Infrastructure , you will build and operate the cloud foundation the entire data platform runs on -- the systems every robot log, dashboard, and model ...

Data Platform Engineer, Infrastructure

Irvine, CA · On-site

$115K - $151K/yr

About the Job As a Data Platform Engineer, Infrastructure , you will build and operate the cloud foundation the entire data platform runs on - the systems every robot log, dashboard, and model ...

Data Platform Engineer, Infrastructure

Irvine, CA · On-site

$115K - $151K/yr

About the Job As a Data Platform Engineer, Infrastructure , you will build and operate the cloud foundation the entire data platform runs on - the systems every robot log, dashboard, and model ...

Showing results 21-40

Contract Data Platform Engineer information

What is the difference between Contract Data Platform Engineer vs Contract Data Engineer?

AspectContract Data Platform EngineerContract Data Engineer
Primary FocusBuilding and maintaining data infrastructure and platformsDeveloping and optimizing data pipelines and workflows
Skills & CertificationsCloud platforms, data architecture, scripting, certifications like AWS or GCPSQL, ETL tools, programming languages, data modeling
Work EnvironmentCollaborates with data platform teams, cloud environments, infrastructure focusWorks on data pipelines, analytics, and data processing tasks
Industry UsageUsed in organizations with complex data infrastructure needsCommon in data-driven companies focusing on data analysis and reporting

The Contract Data Platform Engineer primarily focuses on designing and maintaining data infrastructure and platforms, often working with cloud services and architecture. In contrast, the Contract Data Engineer concentrates on developing data pipelines and processing workflows. Both roles require strong data skills, but their focus areas differ, making them suitable for different project needs within data teams.

What are the most commonly searched types of Data Platform Engineer jobs in California?

The most popular types of Data Platform Engineer jobs in California are:

What are popular job titles related to Contract Data Platform Engineer jobs in California?

For Contract Data Platform Engineer jobs in California, the most frequently searched job titles are:

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The top searched job categories for Contract Data Platform Engineer jobs in California are:

What cities in California are hiring for Contract Data Platform Engineer jobs?

Cities in California with the most Contract Data Platform Engineer job openings:

Data Platform Engineer

QuickLaunch Analytics

Santa Cruz, CA • On-site, Remote

$132K - $158K/yr

Full-time

Re-posted 18 days ago


Job description

Applicants without hands-on Databricks or Microsoft Fabric pipeline experience will not be considered.


AtQuickLaunchAnalytics, we help organizations simplify the complex world of data. As aData Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful deployment and adoption.

This is a highly impactful, hybrid role that blends hands-on engineering with customer-facing consulting.You'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics.

WhatYou'llDo

  • Design and deploy modern data platforms in Azure Databricks, including full environment setup (storage, compute, catalogs, security) and infrastructure optimization
  • Build scalable data pipelines and Lakehouse solutionsusing Python, SQL, and orchestration across Databricks and Microsoft Fabric
  • Lead customer implementations and technical delivery, supporting new deployments, upgrades, and escalation troubleshooting in Azure environments
  • Develop and manage ETL/ELT integrationsacross third-party tools and custom APIs, ensuring reliable, production-grade data workflows
  • Implement secure, high-performance data architectures, including Unity Catalog,OneLakesecurity, networking (VPNs, private endpoints), and cost optimization
  • Partner directly with customers as a technical advisor, translating business needs into data platform solutions and driving best practices across Databricks and Fabric

Who You Are

  • Strong hands-on experience withDatabricksand/or Fabric,Spark,Python, and SQL, with the ability to build and troubleshoot production-grade data pipelines
  • Solid foundation indatabase concepts and data modeling, with experience working across structured and semi-structured datasets
  • Experience withETL/ELT tools and data integration, including tools likeFivetranand building/customizingAPI-based data pipelines
  • Comfortable working incustomer-facing or consulting environments, supporting new implementations in Azure Databricks or Microsoft Fabric
  • Working knowledge ofidentity and access management concepts(e.g., Entra ID users, groups, and permissions)
  • Strong aptitude for diagnosing, isolating, and resolving complex technical issues efficiently
  • Ability to communicate effectively with both technical and non-technical customers and team members

Nice to Have

  • Experience usingAI and automation toolsto streamline workflows, including exposure toAI agents or intelligent automation frameworks
  • Experience configuring private endpoints in Azure, including networking setup and DNS configuration
  • Understanding of Power BI and Fabric licensing and how licensing mightimpactdeployment approach
  • Familiarity withLinux environmentsand cloud-based data ecosystems


Working Location: Remote(USA)or hybrid (Santa Cruz County, CA)


Compensation:The estimated base salary range for this role is $125,000-155,000. There is also an opportunity for a discretionary bonus.

About Us:

AtQuickLaunchAnalytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years,we'vehelped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.

We'rea team of 35+ professionals with deepexpertisein Power BI, Databricks, and Azure Cloud. Our culture is built onownership, collaboration, and continuous learning, reflected in strong outcomes for both our customers and our team.

If you enjoy solving complex data challenges and want to work closely with customers to deliver real-world impact,we'dlove to hear from you.