Top 13 Principal data engineering lead services special project Jobs in San Jose, Ca

Principal Data Engineering Lead - Services Special Project
Apple —Cupertino, CA
- $262,500 - $394,000 a year
- System design
- 11+ years
- Java
- Employee stock purchase plan
- Health insurance
Senior Engineering Program Manager, Lead - Service Special Projects
Apple —Cupertino, CA
- $207,400 - $372,700 a year
- 11+ years
- Bachelor's degree
- Conflict management
- Employee stock purchase plan
- Health insurance
12d
Principal Data Architect and Manager - Service Special Projects
Apple —Cupertino, CA
- $237,600 - $401,700 a year
- On call
- Computer science
- Computer Science
- 11+ years
- Employee stock purchase plan
- Health insurance
Operations Support Manager
Lawrence Livermore National Laboratory —Livermore, CA
- $185,850 - $282,828 a year
- Full-time
- Hybrid work
- Pass drug screening
- Analysis skills
- Bachelor's degree
- Relocation assistance
- 401(k)
21h
Senior Principal Engineer Software (Unit 42)
Palo Alto Networks —Santa Clara, CA
- $170,000 - $277,000 a year
- Java
- C++
- Mentoring
Principal Software Engineer (Data Platform Prisma AIRS)
Palo Alto Networks —Santa Clara, CA
- $147,000 - $237,500 a year
- Full-time
- Computer Science
- Office
- Master's degree
2d
Sr Staff Engineer - Core Infrastructure
Uber —Sunnyvale, CA
- $267,000 - $297,000 a year
- Full-time
- 11+ years
- Office
- Java
- 401(k)
Principal Engineer Software -Cortex (US Citizen or GC)
Palo Alto Networks —Santa Clara, CA
- $147,000 - $237,500 a year
- Full-time
- Azure
- 5 years
- Research
5d
Principal Solution Architect
Super Micro Computer —San Jose, CA
- $210,000 - $250,000 a year
- Computer science
- Computer Science
- System design
Distinguished Software Engineer - ADEM (Backend)
Palo Alto Networks —Santa Clara, CA
- $230,000 - $315,000 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Principal Software Engineer, Business Experience
Snapchat —Palo Alto, CA
- $235,000 - $414,000 a year
- Full-time
- Hybrid work
- Computer science
- 6 years
- Computer Science
- Paid parental leave
- Health insurance
Principal Software Engineer, Ads Format, Level 7
Snapchat —Palo Alto, CA
- $235,000 - $414,000 a year
- Full-time
- Hybrid work
- 6 years
- Research
- Office
- Paid parental leave
- Health insurance
Chief Architect for Adobe Intelligence Platform
Adobe —San Jose, CA
- $209,900 - $432,450 a year
- Full-time
- Computer Science
- Bachelor of Science
- System design

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Principal Data Engineering Lead - Services Special Project

Apple -
Cupertino, CA

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Job Details

$262,500 - $394,000 a year

Benefits

Employee stock purchase plan
Health insurance
Dental insurance
RSU
Retirement plan

Qualifications

AI models
GPU programming
Containerization systems
Data model design
Cloud analytics services
Software engineering
Data compliance
Data Integration (Data management)
Cloud data warehouses
Tooling
Software deployment
System performance optimization
System design
Computational framework
Schema design
Java
Master's degree
Data Architecture Design (Architecture design skills)
Production systems
ETL process automation
Model deployment
Scala
Data Security (Data management)
System development
System deployment
DevOps automation
Real-time data processing implementation
System tuning
Data performance optimization
Batch data processing

Full Job Description

At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Our team is building a massive, real-time platform that transforms continuous streams of multimodal data (including structured, image, and log data) into an intelligent, searchable foundation.

We are seeking a Principal Data Engineer to lead and drive not only our team's data processing systems, but also to partner at a larger scale, coordinating and synching strategically with other business groups and organizations within Apple.

Description

We are seeking a Principal Data Engineering Lead with deep expertise in ETL/ELT, data architecture, and applied ML pipelines to drive the design, build, and operations of this infrastructure. As a key member of our team, you will be responsible for driving critical decisions and operations across the entire system while aligning strategically across Apple. ","responsibilities":"Build and implement batch and streaming ETL/ELT pipelines that ingest, process, and model data from diverse sources, including unstructured media and real-time event streams, ensuring high reliability, performance, and scalability.

Develop and maintain Kafka-based ingestion and processing pipelines, ensuring reliable data delivery across services and into the data lake.

Build robust logical and physical data models with a focus on dimensional modeling, versioning, and storage patterns (e.g., Parquet, ORC) optimized for ingest, reporting, and operational use cases.

Define and enforce data quality checks, SLAs, and observability standards to ensure data is accurate, timely, versioned, and trusted by stakeholders.

Integrate and enrich raw signals with metadata and attribution to power downstream use cases such as analytics, billing, planning, and optimization.

Implement standard methodologies for data lineage, metadata management, schema governance, versioning, and security in alignment with Apple's standards for data protection and privacy.

Deliver solutions that include logging, anomaly detection, data validation, cleaning, and transformation, with strong emphasis on monitoring, debuggability, and continuous improvement.

Work closely with ML engineers, data scientists, platform teams, and leadership to translate requirements into scalable, reliable data solutions.

Help advance the team's data stack, including tooling, frameworks, and standards for development, testing, deployment, and operations.

Align our team with other Apple teams strategically, participating in larger scale discussions and deliverables across our ecosystem.

Preferred Qualifications

Experience with data versioning tools and frameworks (e.g., DVC, Delta Lake)

Experience storing/serving embeddings (e.g., pgvector, Milvus, FAISS)

Minimum Qualifications

Masters Degree

12+ years of experience in data engineering, including building and maintaining large-scale ETL/ELT data pipelines

Proficiency in data modeling, especially dimensional modeling, and designing schemas optimized for analytics and reporting

Experience with leveraging databases including SQL/NoSQL Databases (including Postgres / Cassandra / Redis)

Strong experience with distributed data processing frameworks including Apache Spark

Strong experience with Parallel processing frameworks: BigTable/Hadoop

Strong software engineering fundamentals and proven experience with Scala, Java

Hands-on experience with Apache Kafka, Iceberg, and Flink.

Experience with workflow orchestration tools including Apache Airflow and Beam

Experience with AWS: e.g., S3, EMR, Lambda, Glue, Redshift, BigQuery, Kinesis, or similar services

Experience with Analytics frameworks including Trino (Presto, BigQuery, Snowflake)

Hands-on experience with big data lake architectures

Experience with containerization and orchestration (Docker, Kubernetes/EKS) and CI/CD tooling including Jenkins

Experience in Python and PySpark

Familiarity with graph databases such as TigerGraph

Experience building pipelines that process multimodal data (structured and image) and integrate ML model inference - including LLMs and embedding models - for data enrichment and transformation

Hands-on experience deploying, serving, and optimizing LLMs or ML models directly in the production, inference runtimes/compilers (ONNX Runtime, TensorRT/TensorRT-LLM), and serving frameworks (Triton, vLLM, TorchServe or similar).

Experience tuning batching, KV-cache, and GPU utilization for low-latency, high-throughput real-time inference in a data pipeline

Knowledge of data governance principles, data security best practices, and data privacy regulations

Proven experience delivering a consumer-oriented solution by participating at every stage of the development life-cycle.

Excellent communication skills and a collaborative mindset with past experience presenting and partnering with VP and C level decision makers.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $262,500 and $394,000, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apply Now

Refine Your Search

principal data engineering lead services special project jobs in san jose, ca

Principal Data Engineering Lead - Services Special Project

Senior Engineering Program Manager, Lead - Service Special Projects

Principal Data Architect and Manager - Service Special Projects

Operations Support Manager

Senior Principal Engineer Software (Unit 42)

Principal Software Engineer (Data Platform Prisma AIRS)

Sr Staff Engineer - Core Infrastructure

Principal Engineer Software -Cortex (US Citizen or GC)

Principal Solution Architect

Distinguished Software Engineer - ADEM (Backend)

Principal Software Engineer, Business Experience

Principal Software Engineer, Ads Format, Level 7

Chief Architect for Adobe Intelligence Platform

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