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Remote Gcp Data Engineer Jobs in Ladera Ranch, CA

Cisco

Solutions Engineer - Media and Gaming

Irvine, CA · On-site +1

$218K - $286K/yr

Note - While this is a remote position, we are seeking candidates located in or willing to relocate ... Data Center (Nexus, ACI, NX-OS, UCS, Hyperconverged) * Security (SASE, Zero Trust, XDR, Firepower ...

Cisco

Solutions Engineer - Media and Gaming

Irvine, CA · On-site +1

$218K - $286K/yr

Note - While this is a remote position, we are seeking candidates located in or willing to relocate ... Data Center (Nexus, ACI, NX-OS, UCS, Hyperconverged) * Security (SASE, Zero Trust, XDR, Firepower ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Science Manager

Irvine, CA · Remote

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and ... Partner with engineering teams to build and support data pipelines using technologies such as Azure ...

Diality

Clinical Research Associate

Irvine, CA · Remote

$120K - $135K/yr

... GCP). This position plays a key role in supporting research projects at Diality, combing ... Perform remote monitoring activities such as source data verification (SDV) and data entry checks ...

PM2CM

Cost Engineer Hybrid-Remote

Anaheim, CA · On-site +1

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Noor Staffing Group

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Senior SDET Location: Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles ... Verify compliance-critical behavior: disclosure timing, fee tolerances, audit trails, and data ...

Milliman

Strategic Data Partnership Manager

Irvine, CA · Remote

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... You'll work closely with product, engineering, legal, sales and other market-facing teams. * Grow ...

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Showing results 21-40

All JobsGcp Data Engineer JobsRemote Gcp Data Engineer JobsRemote Gcp Data Engineer Jobs in Ladera Ranch, CA

Remote Gcp Data Engineer information

See Ladera Ranch, CA salary details

$47.3K

$137.9K

$188.7K

How much do remote gcp data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote gcp data engineer in Ladera Ranch, CA is $137,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $146,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote GCP data engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What is the difference between Remote Gcp Data Engineer vs Remote Data Analyst?

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What is a remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

What are the most commonly searched types of Gcp Data Engineer jobs in Ladera Ranch, CA?

The most popular types of Gcp Data Engineer jobs in Ladera Ranch, CA are:

What job categories do people searching Remote Gcp Data Engineer jobs in Ladera Ranch, CA look for?

The top searched job categories for Remote Gcp Data Engineer jobs in Ladera Ranch, CA are:

What cities near Ladera Ranch, CA are hiring for Remote Gcp Data Engineer jobs?

Cities near Ladera Ranch, CA with the most Remote Gcp Data Engineer job openings:

Remote Gcp Data Engineer jobs near you
Infographic showing various Remote Gcp Data Engineer job openings in Ladera Ranch, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $137,893 per year, or $66.3 per hour.

Data Scientist, AI Data Foundations

NextDeavor Inc.

Irvine, CA • Remote

$114K - $175K/yr

Contractor

Re-posted 14 days ago

Job description

Data Scientist, AI Data Foundations
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Data Scientist, AI Data Foundations

You will design and build the curated data structures that AI and ML applications consume, enabling higher-quality model training and inference. You will partner with model builders, product, risk, and growth stakeholders to surface actionable insights and ship production-ready vector, feature, and graph data assets. This is a Remote role.

Here's How You'll Make an Impact on the Team
  • Build and maintain vector stores for RAG, including embedding pipelines, chunking strategies, indexing, and refresh patterns.
  • Own the feature store: design, build, and operate feature definitions, freshness SLAs, lineage, and point-in-time correctness for offline/online use.
  • Design and implement graph data structures to model relationships across applicants, applications, products, lenders, decisions, and outcomes.
  • Lead data discovery: profile lending, deposit, and behavioral datasets to identify trends, segments, anomalies, and model drivers; produce actionable hypotheses for stakeholders.
  • Engineer curated, AI-ready datasets with appropriate quality checks, documentation, and governance for downstream model builders and analysts.
  • Define and run evaluation frameworks for RAG retrieval quality, feature drift, embedding quality, and graph completeness; iterate on metrics.
  • Partner closely with ML engineers and applied scientists to ensure data assets accelerate model development and serving workflows.
  • Champion responsible data use by collaborating with governance, security, and compliance teams to ensure data classification, consent, and regulatory boundaries are respected.
  • Communicate findings via write-ups, notebooks, dashboards, and short presentations for technical and non-technical audiences.
Here's What You'll Need to Be Successful in This Role
  • 4–7 years of experience in data science, ML engineering, or applied data roles, with significant time building data assets consumed by models or applications.
  • Hands-on experience designing and operating vector stores for RAG or semantic search (embedding generation, chunking, indexing, retrieval evaluation).
  • Experience building or operating a feature store (e.g., Databricks Feature Store, Feast, or custom), including offline training and online serving patterns and point-in-time correctness.
  • Experience modeling and building graph data structures and writing graph queries (Neo4j, TigerGraph, Cosmos DB Gremlin, or similar).
  • Strong proficiency in Python (pandas, NumPy, scikit-learn, PySpark) and SQL; comfortable using Databricks notebooks and jobs.
  • Practical experience with embedding models and LLM tooling (Hugging Face, OpenAI/Azure OpenAI APIs, LangChain or similar) in production or near-production contexts.
  • Demonstrated data discovery skills: profiling messy datasets, surfacing patterns, validating findings statistically, and explaining results clearly.
  • Solid grounding in classical ML concepts (supervised vs. unsupervised learning, train/test discipline, leakage, evaluation metrics).
  • Strong written and verbal communication skills for technical and business audiences.
Here's What Else Might Help You Out
  • Experience in SaaS or FinTech, especially with lending, deposit, credit, fraud, or KYC/AML data.
  • Familiarity with Databricks-native AI/ML tooling: Databricks Vector Search, Databricks Feature Store, MLflow, Unity Catalog.
  • Experience with open-source vector DBs (pgvector, Pinecone, Weaviate, Chroma, FAISS) and strong opinions on trade-offs.
  • Experience with Microsoft Azure data and AI services (Azure OpenAI, Azure AI Search, ADLS Gen2).
  • Experience evaluating RAG systems end-to-end (recall@k, faithfulness, answer quality, hallucination measurement).
  • Exposure to graph algorithms (community detection, link prediction, centrality) applied to business problems.
  • Bachelor's or Master's in CS, Statistics, Mathematics, Engineering, or related quantitative field, or equivalent experience.
Pay Range

$114,000 - $175,000/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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