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Sr Azure Data Engineer Jobs in California (NOW HIRING)

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

GEI Consultants

Data Engineer

Pasadena, CA

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... Minimum of five (5) years in Cloud technologies like Azure, Aws or Google. * Strong SQL Knowledge

WelbeHealth

Sr. Data Engineer

Los Angeles, CA · On-site

$114K - $155K/yr

One (1) or more Microsoft solutions certifications preferred in SQL Server or Visual Studio, Azure ... Senior Data Engineer who is passionate about building modern, scalable data platforms that enable ...

Jobtailor

$180 - $240/hr

Design secure AI and data architectures on Microsoft Azure * Build architecture diagrams, reference architectures, and implementation roadmaps * Guide engineering teams through implementation

Saransh Inc

Azure Engineer - Full Time

Aliso Viejo, CA · On-site

Bachelor's or Master's degree in Computer Science, Engineering, or related field. * 10+ years in data engineering/architecture with substantial hands-on depth in Azure. * Expert in Azure Databricks ...

Amh

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service ...

American Homes 4 Rent

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service ...

Pediatric Associates

Sr Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

Strong proficiency in SQL and experience with data transformation technologies (e.g., Azure Data ... Strong programming skills in Python or another modern scripting language. * Experience working with ...

Pwc

Data Engineer - Manager

Irvine, CA

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Pwc

Data Engineer - Manager

Los Angeles, CA · On-site

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Pwc

Data Engineer - Manager

San Diego, CA · On-site

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Pwc

Data Engineer - Manager

Sacramento, CA

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Dlapiper

Data Engineer

San Diego, CA

$121K - $146K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Dlapiper

Data Engineer

Los Angeles, CA

$123K - $148K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Dlapiper

Data Engineer

Palo Alto, CA

$134K - $161K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Dlapiper

Data Engineer

San Francisco, CA

$134K - $162K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Shimento, Inc.

Data Engineer

Carlsbad, CA · On-site

$118K - $142K/yr

Title: Data Engineer Location: Carlsbad, CA / Tempe, AZ (Hybrid - 3 days onsite) Duration ... Support migration of legacy Azure data pipelines to Google Cloud Platform . * Monitor and ...

Saransh Inc

Lead Data Engineer - Only W2

San Francisco, CA · On-site

$134K - $162K/yr

Senior/Lead Main Skills: SQL, Databricks, ADF, DataStage (or other ETL tool), SSAS cubes, Cognos ... Databricks * Azure Data Factory (ADF) * Datastage (or other ETL tools) * SSAS cubes * BI tools ...

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Showing results 21-40

All JobsSr Azure Data Engineer JobsSr Azure Data Engineer Jobs in California

Sr Azure Data Engineer information

What is a Sr Azure Data Engineer?

A Sr Azure Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft Azure's cloud platform. They focus on creating scalable data pipelines, integrating data from various sources, and ensuring data quality and security. Senior Azure Data Engineers often work with technologies like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, and they collaborate with data scientists and business analysts to support data-driven decision-making. Their expertise helps organizations leverage cloud-based data architectures for improved performance and scalability.

What are some typical challenges Sr Azure Data Engineers face when managing large-scale cloud data solutions?

Sr Azure Data Engineers often encounter challenges such as optimizing data pipelines for performance and cost efficiency, ensuring data security and compliance in cloud environments, and integrating diverse data sources across on-premises and cloud systems. Additionally, they may need to troubleshoot complex data flow issues and stay updated with rapidly evolving Azure services. Collaborating closely with data scientists, architects, and business stakeholders is also essential to deliver scalable, business-focused solutions.

What are the key skills and qualifications needed to thrive as a Sr Azure Data Engineer?

To excel as a Sr Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud data architectures, and a strong command of SQL and programming languages, typically complemented by a degree in computer science or a related field. Proficiency with Azure services such as Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this role. These skills ensure the efficient design, implementation, and maintenance of scalable data solutions that meet business needs.

What are popular job titles related to Sr Azure Data Engineer jobs in California?

For Sr Azure Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Sr Azure Data Engineer jobs in California look for?

The top searched job categories for Sr Azure Data Engineer jobs in California are:

What cities in California are hiring for Sr Azure Data Engineer jobs?

Cities in California with the most Sr Azure Data Engineer job openings:

Sr Azure Data Engineer jobs near you
Infographic showing various Sr Azure Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

GEI Consultants

Pasadena, CA • On-site

$124K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

281st of 449 rated engineering

Job description

Description
Your role at GEI.
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
Essential Responsibilities & Duties
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.

We are GEI.
Some of the world's most pressing problems - from climate change to sustainable development, to critical infrastructure and the future of our energy supply - need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients' most complex challenges.
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here .
Employee-owned. Employee-focused.
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client-Centered, Curious, Collaborative, and Community Minded - which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI's career site here .
GEI's Total Rewards Package Includes
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 - $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here )
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More...

PHYSICAL REQUIREMENTS
WORK ENVIRONMENT
Functional Demands:
Sedentary
x
Light
Medium
Other
Activity Level Throughout Workday (check one per row)
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
x
Standing
x
Walking
x
Climbing
x
Lifting (floor to waist level) (in pounds)
x
Lifting (waist level and above) (in pounds)
x
Carrying objects
x
Push/pull
x
Twisting
x
Bending
x
Reaching forward
x
Reaching overhead
x
Squat/kneel/crawl
x
Wrist position deviation
x
Pinching/fine motor skills
x
Keyboard use/repetitive motion
x
Taste or smell (taste=never)
x
Talk or hear
x
Accurate 20/40
Very Accurate 20/20
Not Applicable
Near Vision
x
Far Vision
x
Yes
No
Not Applicable
Color Discrimination
Sensory Requirements
Minimal
Moderate
Accurate
Not Applicable
Depth perception
x
Hearing
x
Environment Requirements
Occupational Exposure Risk Potential
Reasonably Anticipated
Not Anticipated
Blood borne pathogens
x
Chemical
x
Airborne communicable diseases
x
Extreme temperatures
x
Radiation
x
Uneven surfaces or elevations
x
Extreme noise levels
x
Dust/particulate matter
x
Other (exposure risks):
Usual workday hours :
x
8
10
12
Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.

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