Top 101 Data engineer Jobs in Glendora Ca

Data Engineer
Intellectyx —Pasadena, CA
- $120,000 - $150,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- DevOps
- Opportunities for advancement
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10h
Data Engineer III
Inland Empire Health Plan —California
- $118,601.60 - $157,144.00 a year
- Full-time
- Hybrid work
- Computer Science
- Research
- Office
- Disability insurance
- Health insurance
Data Engineer
EVERYTABLE, PBC —City of Industry, CA
- $115,000 - $150,000 a year
- Full-time
- Remote
- Mid-level
- Analysis skills
- 2 years
- Paid holidays
- Health insurance
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Data Engineer II
Inland Empire Health Plan —Rancho Cucamonga, CA
- $104,041.60 - $137,841.60 a year
- Full-time
- Hybrid work
- DevOps
- Mid-level
- Office
- Disability insurance
- Health insurance
Data Engineer (Multiple Levels)
Astrana Health, Inc. —Alhambra, CA
- $105,000 - $200,000 a year
- Email
- Remote
- Azure
- Mid-level
- Finance
Quick Apply
7d
Data Engineer
GEI Consultants —Pasadena, CA
- $90,000 - $150,000 a year
- Full-time
- Mid-level
- SQL
- 4 years
- Profit sharing
- Commuter assistance
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Software Engineer, Data Platform
Whatnot —Los Angeles, CA
- $220,000 - $290,000 a year
- Full-time
- Remote
- 3 years
- Senior level
- Communication skills
- Paid parental leave
- Health insurance
Sr Data Engineer
EVgo —Los Angeles, CA
- $116,200 - $145,300 a year
- Full-time
- Remote
- Azure
- 3 years
- Master's degree
- Commuter assistance
- Health savings account
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6d
Looker Data Engineer (Contract)
Tech Holding —Los Angeles, CA
- Contract
- Remote
- Mid-level
- 3 years
- SQL
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AI & Data Systems Engineer (Remote)
Ceribell, Inc —Los Angeles, CA
- $141,000 - $173,000 a year
- Email
- Remote
- Azure
- Computer Science
- Salesforce
- Employee stock purchase plan
- Paid holidays
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4d
Data Engineer
Tata Consultancy Services —Rosemead, CA
- $80,000 - $100,000 a year
- Computer Science
- Mid-level
- Bachelor's degree
- Commuter assistance
- Health insurance
Data Engineer
Whatnot —Los Angeles, CA
- $180,000 - $260,000 a year
- Full-time
- 3 years
- APIs
- Senior level
- Paid parental leave
- Health insurance
DATA ANALYST ENGINEER I
VSolvit —Norco, CA
- $65,000 - $80,000 a year
- Full-time
- Computer Science
- Master's degree
- Analysis skills
- Health savings account
- Disability insurance
Quick Apply
Artificial Intelligence Data Engineer II
L.A. Care Health Plan —Los Angeles, CA
- $105,267 - $173,689 a year
- Full-time
- Computer Science
- DevOps
- HIPAA
- Wellness program
- Health insurance
Senior Software Engineer, Ads Infra - Big Data - USDS
TikTok —Los Angeles, CA
- $177,688 - $341,734 a year
- Hybrid work
- Computer Science
- System design
- Mid-level
- Paid parental leave
- Paid holidays
6d
Data Processing Systems Software Operations Engineer
Peraton —Monrovia, CA
- $51,000 - $82,000 a year
- Background check
- Computer Science
- Bachelor of Science
- Health savings account
- Paid holidays
Software Engineer, Data Products
Fox Corporation —Los Angeles, CA
- $92,000 - $140,000 a year
- Full-time
- System design
- Office
- Java
- Health insurance
- Dental insurance
Sr. Data Engineer
InStride —Los Angeles, CA
- $150,000 - $165,000 a year
- AWS
- Mentoring
- Senior level
- Health insurance
- Tuition reimbursement
Data Integration Engineer
Citizens Business Bank —Rancho Cucamonga, CA
- $104,061 - $150,888 a year
- Full-time
- Azure
- Computer Science
- Ability to walk for extended periods
Sr. Data Engineer
Contact Government Services, LLC —Los Angeles, CA
- $144,768.00 - $209,109.33 a year
- Full-time
- Hybrid work
- 7 years
- SQL
- IT
- Health insurance
- Dental insurance
Quick Apply

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data engineer jobs near glendora ca

Data Engineer

Intellectyx
Pasadena, CA

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Job Details

Full-time
$120,000 - $150,000 a year
10 hours ago

Benefits

Opportunities for advancement

Qualifications

Index optimization
Performance dashboard reports
Authentication
Data model design
Dashboard development
Commercial use (data warehousing systems)
Performance tuning
Systems integration
Cloud analytics services
Power BI
Databricks
Data visualization software proficiency
Authorization controls implementation
Data lake
RESTful API
OAuth 2.0
Query plan analysis
Spark
Business intelligence report generation
Dashboard creation support
Integration Architecture Design (Architecture design skills)
Schema design
Snowflake
Stored procedures
SQL
Azure Synapse Analytics
Data Architecture Design (Architecture design skills)
Cloud database architecture
Bachelor's degree
Enterprise Integration

Full Job Description

About the Role

We are seeking a highly skilled and experienced Senior Data Engineer to join our growing Data & Analytics team. This role is central to building, maintaining, and evolving our enterprise data platform using Microsoft Fabric and Azure Synapse Analytics. The ideal candidate will have deep expertise in data warehouse architecture, master data management (MDM), and modern cloud data ecosystems.

You will be responsible for integrating data from multiple enterprise sources including HubSpot (via API) and NetSuite (via ODBC), designing Lakehouse architectures, and developing Power BI dashboards that empower business decision-making.

Required Skills & Qualifications

Core Experience

▸ Minimum 5 years of hands-on experience in Data Engineering roles.

▸ Proven experience with Microsoft Fabric — Lakehouse, Pipelines, Datawarehouse, and Notebooks.

▸ Strong experience with Azure Synapse Analytics — Pipelines, Spark Pools, SQL Pools.

▸ Demonstrated expertise in Data Warehouse design and implementation.

▸ Experience with Master Data Management (MDM) using scripting/notebook-based approaches.

Integration & Connectivity

▸ Experience with API-based data integrations (REST/JSON), specifically with HubSpot or similar CRM platforms.

▸ Hands-on experience with ODBC driver-based integrations, specifically with NetSuite or similar ERP systems.

▸ Familiarity with authentication mechanisms: OAuth 2.0, API keys, and service accounts.

SQL & Database

▸ Expert-level SQL skills: Advanced SQL, Dynamic SQL, Stored Procedures, Functions, Views, and CTEs.

▸ Proficiency in Microsoft SQL Server (T-SQL) and PostgreSQL.

▸ Understanding of database performance tuning — indexing, query plans, partitioning.

Power BI

▸ Solid experience with Power BI Desktop and Power BI Service.

▸ Proficiency in DAX (Data Analysis Expressions) for complex measures and KPIs.

▸ Experience building enterprise semantic models and managing Power BI workspaces.

Azure Analysis Services & Semantic Models

▸ Hands-on experience designing and developing Tabular models in Azure Analysis Services (AAS) or SSAS Tabular.

▸ Proficiency with DAX for complex business logic: time intelligence, semi-additive measures, row context and filter context manipulation.

▸ Experience with Semantic Model design best practices — star schema, measure tables, calculation groups, and field parameters.

▸ Ability to manage AAS deployments, processing schedules, and role-based access via XMLA or REST API.

▸ Familiarity with Tabular Model Scripting Language (TMSL) and Tabular Editor for model development and automation.

Domain Knowledge

▸ Demonstrated experience working within one or more of the following specialist domains is highly valued:

– Marketing & Customer Analytics — working knowledge of CRM data structures (HubSpot), campaign attribution models, customer journey mapping, segmentation, churn prediction, and marketing funnel KPIs.

– Affordable Housing — understanding of tenancy management systems, social housing allocation, waitlist data modelling, regulatory compliance reporting, and community impact measurement.

– High Court & Legal Case Management — familiarity with case lifecycle data, court proceedings data models, legal SLA metrics, document metadata management, and sensitive legal data handling requirements.

– Probation & Criminal Justice Services — knowledge of offender case data pipelines, rehabilitation programme tracking, risk scoring systems, caseload analytics, and strict data access governance within justice sector frameworks.

▸ Ability to rapidly acquire domain knowledge in new sectors and translate complex business requirements into accurate data models and analytics solutions.

▸ Awareness of data sensitivity, privacy regulations (GDPR, sector-specific legislation), and access governance obligations within legal, justice, and social services domains.

Cloud & Other Platforms

▸ Awareness and working knowledge of other cloud data platforms such as:

– Databricks — Delta Lake, Spark, Unity Catalog

– Google BigQuery — SQL, partitioned tables, streaming

– Snowflake — Warehouses, stages, data sharing

Nice to Have

▸ Experience with dbt (data build tool) for transformation layer management.

▸ Familiarity with Medallion Architecture (Bronze / Silver / Gold layers).

▸ Knowledge of data governance frameworks and metadata management tools.

▸ Experience with CI/CD pipelines for data engineering (Azure DevOps, Git).

▸ Exposure to real-time streaming technologies (Azure Event Hubs, Kafka).

▸ Power BI certification (PL-300), Microsoft Fabric certification (DP-600), or Azure Analysis Services / SSAS certification is a plus.

Education

▸ Bachelor's degree or higher in Computer Science, Information Technology, Data Science, or a related field.

▸ Equivalent professional experience will be considered in lieu of formal education.

What We Offer

▸ Opportunity to work on a high-impact, modern data platform using cutting-edge Microsoft technologies.

▸ Collaborative environment with skilled data, analytics, and engineering teams.

▸ Competitive compensation package and career growth opportunities.

▸ Flexible work arrangements (on-site / hybrid / remote based on location).

▸ Professional development support including certifications and training programs.

Pay: $120,000.00 - $150,000.00 per year

Work Location: In person

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Refine Your Search

data engineer jobs in glendora ca

Data Engineer

Data Engineer III

Data Engineer

Data Engineer II

Data Engineer (Multiple Levels)

Data Engineer

Software Engineer, Data Platform

Sr Data Engineer

Looker Data Engineer (Contract)

AI & Data Systems Engineer (Remote)

Data Engineer

Data Engineer

DATA ANALYST ENGINEER I

Artificial Intelligence Data Engineer II

Senior Software Engineer, Ads Infra - Big Data - USDS

Data Processing Systems Software Operations Engineer

Software Engineer, Data Products

Sr. Data Engineer

Data Integration Engineer

Sr. Data Engineer

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