Data Lakes Finance Jobs

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Today

Finance Data Engineer

Apple Austin, TX

Austin, TX

Today

$149k - $249k/yr Full time Artificial Intelligence Big Data Data Analytics

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Job Description

The Product Marketing Customer Analytics team is seeking a Finance Data Engineer to design and deliver scalable customer analytics data pipelines and platforms. The role focuses on analytics-ready infrastructure spanning batch and streaming, with an emphasis on data quality, performance, and close collaboration with analytics consumers and data scientists.

Location

Austin, TX (onsite)

Compensation

USD 149,200 - 249,000 per year

Key Responsibilities

Develop and automate large-scale, high-performance batch and/or streaming platform capabilities to support faster analytics
Design large-scale, complex application frameworks with strong runtime characteristics, including low latency, fault tolerance, and availability
Build and maintain custom frameworks aligned to engineering and analytics needs
Partner with analytics consumers and data scientists to create and improve constructs and address data engineering challenges at scale
Build data pipelines using Spark, Trino, lakehouse, or comparable distributed platform approaches, including Snowflake
Deploy inclusive data quality checks to support high-quality datasets
Promote high standards in software engineering practices for data infrastructure and pipelines built at scale
Apply structured problem-solving to break down ambiguous issues and propose impactful solutions
Apply Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities
Maintain strong documentation and technical writing; use effective verbal and written communication
Demonstrate attention to detail in delivery

Required Qualifications

5+ years of relevant Data Engineering experience
Undergraduate degree in Computer Science, MIS, Engineering, Mathematics, or another quantitative discipline (required)
5+ years of experience in data engineering and ETL pipeline development
5+ years of experience with Big Data Technologies including Spark, Lakehouse, and Trino
Experience with Snowflake
Familiarity with RAG techniques working with LLMs
Experience creating and consuming Model Context Protocol (MCP) services

Preferred Qualifications

Experience with Kubernetes and Docker (preferred)
Additional alignment with the required areas above, including Spark, Lakehouse, Trino, RAG with LLMs, MCP services, and Snowflake

Technical Skills and Tools

Spark, Trino, Lakehouse, Snowflake
Kubernetes, Docker
Generative AI, Retrieval Augmented Generation (RAG), LLMs
Model Context Protocol (MCP)

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards
Option to purchase Apple stock at a discount through the Employee Stock Purchase Plan
Discretionary bonuses or commission payments and relocation (if eligible)

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