1,852 jobs for "Lead Data Engineer"

Data Engineer Senior - Data Modeling

At PNC Financial Services Group - Farmers Branch

Posted on Nov 7

View job Apply on company site

VP AI Data Engineering, Business Insurance

At The Hartford - Morristown

Posted on Nov 3

View job Apply on company site

Manager, Software Engineering

At Nike - Beaverton

Posted on Nov 6

View job Apply on company site

Senior Manager, Data Science and Machine Learning

At Squarespace - New York City

Posted on Oct 14

View job Apply on company site

Sr. Lead Software Engineer

At Capital One - Bengaluru

Posted on Nov 7

View job Apply on company site

Senior Data Science Manager - Strategic Data Solutions

At Apple - Austin

Posted on Oct 19

View job Apply on company site

Lead, Database Infrastructure Security Engineer

At Prudential Financial - Remote / Flexible

Posted on Oct 15

View job Apply on company site

Principal Engineer II — Data Engineering

At Toyota North America - Plano

Posted on Oct 31

View job Apply on company site

Director, Software Engineering

At Mastercard - Arlington

Posted on Nov 3

View job Apply on company site

ETS Principal Solution Engineer-Member Master Data Management

At Navy Federal Credit Union - Vienna

Posted on Nov 4

View job Apply on company site

Data Platform Engineering Manager

At TD Bank - Toronto

Posted on Nov 2

View job Apply on company site

Principal Data Architect I

At Spectrum - Greenwood Village

Posted on Nov 3

View job Apply on company site

Business Intelligence Engineer III, Fulfillment Center Technology Analytics

At Chewy - Bellevue

Posted on Oct 29

View job Apply on company site

Senior Product Manager, AML

At Adyen - Amsterdam

Posted on Oct 20

View job Apply on company site

Director - Hyperion Platform Lead, Software Engineering

At BlackRock - London

Posted on Oct 23

View job Apply on company site

Process Engineering Lead

At Cargill - Chok Chai

Posted on Nov 3

View job Apply on company site

VP - Senior Data Engineer

At BlackRock - Bengaluru

Posted on Oct 11

View job Apply on company site

Principal Data Engineering Lead - Services Special Project

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Lead Software Engineer (Full stack)

At Mastercard

Posted on Oct 30

View job Apply on company site

Process Engineering Lead

At Cargill

Posted on Nov 3

View job Apply on company site

Apple

Principal Data Engineering Lead - Services Special Project

Cupertino, CA$262,500 – $394,000Posted 22 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile