热门公司

Target
Target

Retail company.

Engineer - Audience Platform

职能数据工程
级别中级
地点7000 Target Pkwy N, NCD-0375 Brooklyn Park, United States
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

Kafka

The pay range is $75,400.00 - $135,700.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

About this Team:

As an Engineer on the Enterprise Audiences team, you will develop new capabilities to support Marketing Capabilities like Target Circle 360, Digital, and Roundel. You will build microservices, User Interfaces, Kafka consumers, and database query technology in support of dynamic Audience creation for the enterprise. You will gain insights into application architecture and be able to influence implementation across Marketing Technology. Your expertise in software engineering patterns will help build robust and scalable systems. Your problem-solving skills will assist the team in triaging operational issues and will assist in building scalable software systems.

Key Responsibilities:

  • Participate in the design, implementation, and maintenance of Enterprise Audience services and UI components

  • Build API’s and User Interfaces to support product objectives

  • Leverage AI to build Agents, Workflows

  • Develop applications that support Events Based Actions for Real Time Audience updates

  • Collaborate across teams to solve problems, provide support, and triage

Additional Responsibilities:

  • Design, Develop, Deploy, and Maintain production applications

  • Build and maintain scalable, reliable, and efficient Enterprise Audience capabilities

  • Implement monitoring and logging tools to ensure optimal system performance

  • Continuously improve platform performance, scalability, and reliability

  • Create and maintain technical documentation for users

  • Stay updated on the latest patterns in Data architecture and Cloud Compute Technology.

Core responsibilities are described within this job description. Job duties may change at any time due to business needs.


About you:
• 4 year degree or equivalent experience
• 1+ years of software development experience, ideally full stack experience using Java or Kotlin, Postgres, Kafka, Typescript and React.
• Demonstrates familiarity with current and emerging technologies in own scope of responsibility, and develops ability to apply these technologies
• Understands concepts of package solutions and package specific programming language with knowledge of development objects
• Demonstrates and continuously builds upon domain-specific knowledge
• Demonstrates proficiency in at least one computer language
• Understands the concepts of distributed programming and applies it to their domain
• Knowledge of the different data structures in your chosen programming language and how to apply them.
• Maintains technical knowledge within areas of expertise
• Stays current with new and evolving technologies via formal training and self-directed education

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.  

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关于Target

Target

Target

Public

Target Corporation, doing business as Target, is an American retail corporation headquartered in Minneapolis, Minnesota, United States. Target operates retail stores. It is the eighth-largest retailer in the United States and is a component of the S&P 500 Index.

10,001+

员工数

Minneapolis

总部位置

$78B

企业估值

评价

10条评价

3.7

10条评价

工作生活平衡

3.2

薪酬

2.8

企业文化

4.1

职业发展

3.5

管理层

4.0

68%

推荐率

优点

Friendly coworkers and great team environment

Flexible scheduling and hours

Supportive and approachable management

缺点

Limited or insufficient hours for part-time staff

Long hours and high stress during peak/holiday seasons

Low pay and non-competitive compensation

薪资范围

50个数据点

Junior/L3

Mid/L4

Lead

Director

Junior/L3 · Decision Sciences Analyst

1份报告

$104,000

年薪总额

基本工资

$80,000

股票

-

奖金

-

$104,000

$104,000

面试评价

46条评价

难度

4.0

/ 5

时长

21-35周

录用率

20%

体验

正面 65%

中性 21%

负面 14%

面试流程

1

Recruiter Screen

2

ML Coding

3

ML System Design

4

Research Discussion

5

Team Interviews

常见问题

ML fundamentals

Design an ML system

Research paper discussion

Statistical concepts