Senior Software Engineer: Data Analytics & ML Tools

Apple Inc.

Austin, Northern (TX, KY)

Hybrid

USD 150,000 - 230,000

Full time

11 hours ago
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Job summary

Apple Inc. in Austin, Texas seeks a Senior Software Engineer for Strategic Data Solutions. You will design and implement production software for retail ML initiatives and fraud analytics, partnering with ML engineers and data scientists.

The role emphasizes scalable data tools, release engineering, and operational excellence with independence and leadership. Strong Java or Python skills, experience with big data and cloud platforms are expected.

Qualifications

  • BS or advanced degree in Computer Science or related field or equivalent experience.
  • Mastery of Java or Python.
  • Experience with Big Data and ETL data pipelines.
  • Experience with messaging systems such as Kafka.
  • 8+ years of software engineering/data science experience.
  • Experience building data science tools on AWS/GCP/cloud platforms.

Responsibilities

  • Develop and implement production software for retail ML initiatives and fraud analytics.
  • Design system architecture and collaborate with ML engineers and data scientists.
  • Work with external infrastructure teams to drive infrastructure needs.
  • Automate and improve tools for efficiency and stability in analytics.
  • Lead a team of data scientists with release engineering and ML operations responsibilities.
  • Operate with minimal supervision and raise the team’s maturity in analytic software development.

Skills

Java
Python
Big Data
ETL Pipelines

Education

BS or advanced degree in Computer Science

Tools

Docker
Kubernetes
AWS
GCP
Relational & NoSQL DBs

Job description

Apple Inc. in Austin, Texas seeks a Senior Software Engineer for Strategic Data Solutions. You will design and implement production software for retail ML initiatives and fraud analytics, partnering with ML engineers and data scientists.

The role emphasizes scalable data tools, release engineering, and operational excellence with independence and leadership. Strong Java or Python skills, experience with big data and cloud platforms are expected.

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