Enable job alerts via email!

Software Engineer (Data Solutions), Ai & Data Platforms

Apple Inc.

Austin (TX)

On-site

USD 110,000 - 150,000

Full time

7 days ago
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

A leading company in technology is seeking a Software Engineer specializing in Data Solutions. The successful candidate will work on scalable, resilient distributed systems and play a vital role in integrating software with Apple's ecosystem. This is an innovative position involving high-quality software development, problem-solving using data insights, and cloud technologies.

Qualifications

  • 5+ years of experience with enterprise-level data applications on distributed systems.
  • Strong programming skills in Python, Scala, or Java.
  • Experience with cloud data warehousing platforms like Snowflake.

Responsibilities

  • Develop and maintain data solutions on cloud platforms.
  • Collaborate with internal customers to enhance data integration.
  • Build, test, and deploy new features regularly.

Skills

Cloud Data Platform
Python
Scala
Java
SQL
Data Insights
ETL
Data Visualization
Big Data
Cloud Technologies

Education

Bachelor's degree in Computer Science or equivalent experience

Tools

Snowflake
Big Query
AWS
Microsoft Azure
Google Cloud
Streamlit
Superset
Tableau
Business Objects
Looker

Job description

Software Engineer (Data Solutions), Ai & Data Platforms

Austin, Texas, United States Software and Services

Description

We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure.This role will build solutions that integrate open source software with Apple’s internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform.This is a challenging software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.

Minimum Qualifications
  • 5 or more years of experience building enterprise-level data applications on distributed systems
  • Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query
  • Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java.
  • Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.
  • Bachelor's degree in Computer Science or equivalent experience
Preferred Qualifications
  • Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
  • Experience in cloud data warehousing platforms like Snowflake is highly valued
  • Experience developing Big Data applications using Java, Spark, Kafka is a huge plus
  • Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving
  • Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud
  • Data Visualization Tools: experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker
  • Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Software Engineer (Data Solutions), Ai & Data Platforms

Lensa

Austin

On-site

USD 90,000 - 200,000

3 days ago
Be an early applicant

Software Engineer (Data Solutions), Ai & Data Platforms

Apple

Austin

On-site

USD 100,000 - 150,000

8 days ago