Top 10 Azure data Jobs in Fresno Ca

Data Engineer - Project Delivery Specialist
Deloitte —Fresno, CA
- $102,750 - $171,250 a year
- Full-time
- 7 years
- Azure
- Computer Science
Data Analytics Developer II
California State University —Fresno, CA
- Email
- Background check
- Computer science
- Azure
- Paid holidays
- Health insurance
US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
Deloitte —Fresno, CA
- $102,500 - $188,900 a year
- Full-time
- Azure
- Computer Science
- Office
6d
Senior Healthcare Integration Consultant - EDI 834 & Eligibility
Proactive Logic Consulting Inc —United States
- $75 - $110 an hour
- Contract
- Remote
- System design
- HIPAA
- Java
Quick Apply
Senior Data Engineer Consultant (AI-Forward, Kafka + Databricks)
Proactive Logic Consulting Inc —United States
- $75 - $105 an hour
- Contract
- Remote
- DevOps
- HIPAA
- SQL
Quick Apply
Senior Data Engineer / Data Architect (Remote and W2)
Vibotek LLC —United States
- Contract
- Remote
- Computer Science
- HIPAA
- Mentoring
Quick Apply

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Data Engineer - Project Delivery Specialist
Deloitte —Fresno, CA
Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including…
$102,750 - $171,250 a year
Senior Data Engineer / Data Architect (Remote and W2)
Vibotek LLC —United States
Data Engineering Tools: Hands-on experience with dbt, Apache Airflow, Azure Data Factory, Python, PySpark, and other data engineering tools.
Quick Apply

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Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering, XGBoost), statistical programming…

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Data Engineer - Project Delivery Specialist

Deloitte -
Fresno, CA

Apply Now

Job Details

Full-time
$102,750 - $171,250 a year

Qualifications

Commercial use (data warehousing systems)
Performance tuning
Cloud analytics services
Data Integration (Data management)
Continuous Delivery (CD) implementation
Cloud data warehouses
Infrastructure as Code (IaC)
Data quality assurance
Scalable systems
SQL
Data quality management
Production systems
ETL process automation
Version control systems
Query execution time improvement
Integration Platforms (Enterprise solutions)
Scalability
Cloud automation
Metadata
DevOps automation
Real-time data processing implementation
Query management
Batch data processing
Python
Metadata management

Full Job Description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer - Project Delivery Specialist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on July 30th, 2026.

Work you'll do/Responsibilities

As part of the Data & Analytics Foundry you will support numerous business product teams in designing, building, and operating modern data products and platforms across a scale delivery program (onshore/offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications.

Key responsibilities include:

Architect, build, and operate scalable batch and near-real-time data pipelines on AWS.
Design robust ingestion patterns from source systems into S3 and into Snowflake.
Develop transformation layers and curated datasets in Snowflake, including dimensional/data product modeling for analytics and downstream applications.
Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.
Build reusable Python components for ingestion, validation, and transformations; enforce standards via code reviews and testing.
Optimize Snowflake performance and cost warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation.
Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team

AI& Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Qualifications

Required

7+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets.
7+ years of hands-on experience with SQL and Python, including Snowflake and/or PySpark for scalable data processing and ELT.
7+ years of experience designing, building, and operating batch and near-real-time data pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable).
Experience with data integration frameworks and orchestration tools.
Proficiency in designing and implementing Lakehouse/warehouse architectures and ELT patterns.
Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code.
Ability to optimize data storage, partitioning, file formats (Delta, Parquet), and performance.
Understanding of data quality, data governance, and metadata management.
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred

Agile delivery experience (5-10 years).
Analytical ability to manage multiple projects and prioritize tasks into manageable work products.
Can operate independently or with minimum supervision.
Excellent written and communication skills.
Ability to deliver technical demonstrations.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,750 to $171,250.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Apply Now

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azure data jobs in fresno ca

Data Engineer - Project Delivery Specialist

Data Analytics Developer II

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Senior Healthcare Integration Consultant - EDI 834 & Eligibility

Senior Data Engineer Consultant (AI-Forward, Kafka + Databricks)

Senior Data Engineer / Data Architect (Remote and W2)

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