Fabric and Data Engineer

Pasadena, CA

Actively hiring, first seen by us 1 day ago

Pay: USD 30–34/hour · Base — pay source
Compensation The base pay range for this position is USD $30.00/Hr. - USD $34.00/Hr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.
Read the full posting
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

Work authorization: Must already have the right to workWe do not offer visa sponsorship at this time

What you’ll work on

Full posting

Design, deploy and support Microsoft Fabric environments, workspaces and solutions
Build and maintain Lakehouses, Warehouses, data pipelines and notebooks
Develop scalable ETL/ELT solutions using SQL, Python, PySpark and Spark
Establish Git, CI/CD and automated deployment across dev, test and production
Monitor platform health, capacity and pipelines, and troubleshoot incidents

From the employer’s posting

Design, deploy, and support Microsoft Fabric environments, workspaces, and solutions.

Build and maintain Lakehouses, Warehouses, data pipelines, notebooks, and data transformation processes.

Develop scalable ETL/ELT solutions using SQL, Python, PySpark, and Spark.

Establish Git, CI/CD, and automated deployment practices across development, test, and production environments.

Monitor platform health, capacity, performance, pipelines, and production workloads.

What you’ll bring

All qualifications

Core experience

5+ years of experience in data, cloud, platform, or database engineering.
Experience with OneLake, Fabric Lakehouse/Warehouse, Data Factory, Spark, Power BI, and Delta Lake.
Hands-on experience with Microsoft Fabric, Azure data services.
Experience with Infrastructure-as-Code technologies such as Terraform.
Strong SQL skills and experience with Python and/or PySpark.
Experience supporting data platforms in financial services or another highly regulated environment.

Qualification wording

5+ years of experience in data, cloud, platform, or database engineering.

Experience with OneLake, Fabric Lakehouse/Warehouse, Data Factory, Spark, Power BI, and Delta Lake.

Hands-on experience with Microsoft Fabric, Azure data services.

Experience with Infrastructure-as-Code technologies such as Terraform.

Strong SQL skills and experience with Python and/or PySpark.

Experience supporting data platforms in financial services or another highly regulated environment.

Apply at East West Bancorp

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 3, 20261 day ago
Recorded sightings: 2
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

East West Bancorp is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace
29% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Azure
Delta Lake
Power BI
Spark
Terraform
PySpark

Where the posting names them

- Build and maintain Lakehouses, Warehouses, data pipelines, notebooks, and data transformation processes. - Develop scalable ETL/ELT solutions using SQL, Python, PySpark, and Spark. - Integrate Fabric with Azure services, databases, APIs, SaaS applications, and on-premises data sources.

- Hands-on experience with Microsoft Fabric, Azure data services. - Strong SQL skills and experience with Python and/or PySpark. - Experience with ETL/ELT pipelines, data lakes, warehouses, and Lakehouse architectures.

Overview We are seeking a Microsoft Fabric Engineer to design, implement, and support enterprise data solutions using Microsoft Fabric and Azure technologies. This role will focus on building secure, scalable, automated, and highly reliable data platforms supporting analytics, reporting, and AI initiatives. Responsibilities

- Develop scalable ETL/ELT solutions using SQL, Python, PySpark, and Spark. - Integrate Fabric with Azure services, databases, APIs, SaaS applications, and on-premises data sources. - Implement security, RBAC, data governance, lineage, and compliance controls.

- 5+ years of experience in data, cloud, platform, or database engineering. - Hands-on experience with Microsoft Fabric, Azure data services. - Strong SQL skills and experience with Python and/or PySpark.

- Microsoft Fabric production experience and related Microsoft certifications (DP-600, DP-700). - Experience with OneLake, Fabric Lakehouse/Warehouse, Data Factory, Spark, Power BI, and Delta Lake. - Experience with Infrastructure-as-Code technologies such as Terraform.

- Experience with OneLake, Fabric Lakehouse/Warehouse, Data Factory, Spark, Power BI, and Delta Lake. - Experience with Infrastructure-as-Code technologies such as Terraform. - Experience supporting data platforms in financial services or another highly regulated environment.

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Your next step

Complete your application on careers-eastwestbank.icims.com. The employer’s form will show what is required.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Introduction

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement.

Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.

Overview

We are seeking a Microsoft Fabric Engineer to design, implement, and support enterprise data solutions using Microsoft Fabric and Azure technologies. This role will focus on building secure, scalable, automated, and highly reliable data platforms supporting analytics, reporting, and AI initiatives.

Responsibilities

Design, deploy, and support Microsoft Fabric environments, workspaces, and solutions.
Build and maintain Lakehouses, Warehouses, data pipelines, notebooks, and data transformation processes.
Develop scalable ETL/ELT solutions using SQL, Python, PySpark, and Spark.
Integrate Fabric with Azure services, databases, APIs, SaaS applications, and on-premises data sources.
Implement security, RBAC, data governance, lineage, and compliance controls.
Establish Git, CI/CD, and automated deployment practices across development, test, and production environments.
Monitor platform health, capacity, performance, pipelines, and production workloads.
Troubleshoot incidents and perform root-cause analysis and performance optimization.
Develop technical standards, documentation, operational procedures, and runbooks.
Partner with Cloud, Infrastructure, Security, Data, Application Development, and business teams.

Qualifications

5+ years of experience in data, cloud, platform, or database engineering.
Hands-on experience with Microsoft Fabric, Azure data services.
Strong SQL skills and experience with Python and/or PySpark.
Experience with ETL/ELT pipelines, data lakes, warehouses, and Lakehouse architectures.
Experience with Git, CI/CD, automation, and production support practices.
Understanding of cloud security, identity/RBAC, data governance, and monitoring.
Strong troubleshooting, documentation, and communication skills.

Preferred

Microsoft Fabric production experience and related Microsoft certifications (DP-600, DP-700).
Experience with OneLake, Fabric Lakehouse/Warehouse, Data Factory, Spark, Power BI, and Delta Lake.
Experience with Infrastructure-as-Code technologies such as Terraform.
Experience supporting data platforms in financial services or another highly regulated environment.

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.

Compensation

The base pay range for this position is USD $30.00/Hr. - USD $34.00/Hr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

Source details

View original posting ↗

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Pay

Compensation The base pay range for this position is USD $30.00/Hr. - USD $34.00/Hr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

Location & working pattern