Data Engineer III - Azure, California

Job Title: Data Engineer III

Location: Hybrid | Rancho Cucamonga

(Monday & Friday Remote) (Tuesday - Thursday Onsite) 

Job Type: Full-Time | Direct Placement

Overview:

We are seeking an experienced Data Engineer III to lead the design, development, and optimization of data solutions across a high-impact environment. This individual will play a critical role in data architecture, transformation, and infrastructure planning while working closely with engineering and business stakeholders. The ideal candidate brings strong technical acumen, hands-on experience in cloud-based systems (particularly Azure), and a proactive, team-oriented mindset.

Key Responsibilities:

Design, develop, and implement scalable data solutions based on business requirements

Maintain documentation including data flow diagrams, process maps, and technical design specs

Analyze trends in datasets and develop algorithms that convert raw data into actionable insights

Create and manage secure, optimized data pipeline architectures

Identify and implement internal process improvements to automate workflows and improve data delivery

Develop and enforce best practices in database design and development

Build and maintain advanced functions, scripts, and services for the data services team

Conduct code reviews and ensure adherence to performance and quality standards

Lead and mentor junior engineers on the team

Serve as a subject matter expert for key data-driven initiatives

Provide deep-dive analysis for data quality, integration, and transformation processe

Recommend and implement improvements to existing data engineering processes

Design and deploy enterprise-grade cloud infrastructure solutions

Write, optimize, and maintain code in Python, Java, JSON, Spark, and related tools

Work cross-functionally with engineering, product, and leadership teams to deliver high-impact results

Education & Experience Requirements:

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field

Minimum 8 years of experience with: Azure Data Lake, Data Factory, SQL Data Warehouse, Synapse, Cosmos DB; software development methodologies; relational and non-relational databases (e.g., MS SQL Server, MongoDB); building and optimizing big data pipelines

At least 5 years of hands-on experience with: cloud orchestration and automation and CI/CD pipeline creation

Proficient in DevOps tools, GitHub/GitLab, and Agile/Scrum methodologies

Experience in data modeling, API integration, and enterprise data architecture

Key Qualifications:

Advanced proficiency in Python, Java, JSON

Familiarity with HL7/FHIR (a plus)

Deep understanding of data privacy standards and compliance requirements

Strong knowledge of message queuing, stream processing, and big data technologies

Skilled in Azure DevOps, Git, and visualization tools like Visio

Effective communicator with ability to collaborate across cross-functional teams

Perks & Benefits:

Competitive salary

Hybrid schedule

Comprehensive medical, dental, and vision coverage

CalPERS retirement plan and 457(b) match

Paid life and disability insurance

Wellness programs and work-life balance support

On-site fitness center (if applicable)

Career growth and professional development opportunities

Pet insurance and flexible spending accounts (healthcare/childcare)