Skip to main content

This job has expired

Sr Engineer - Big Data Infra (Hadoop, Spark, Linux, Java)

Employer
Target
Location
Brooklyn Park, Minnesota
Start date
Feb 6, 2024
Closing date
Feb 14, 2024
View more categoriesView less categories
Category
Retail / Wholesale
Employment Status
Full Time
Description: The pay range is $85,500.00 - $153,900.00

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.

JOIN US AS A SR ENGINEER - BIG DATA INFRA ENGINEERING (HADOOP, SPARK, DRUID)

About Us:

As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It's how we care, grow, and win together.

The Target High Performance Distributed Computing team creates the platforms and tools to enable our business partners to make great data-based decisions at Target. This team helps to manage hardware and software for large scale distributed computing, frequently angling towards data analytics and Artificial Intelligence/Machine Learning type applications. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We're also the source of the data and analytics behind Target's Supply Chain optimization, fraud detection, demand forecasting and metrics to support our stores. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com.

As a Senior Engineer, High Performance Distributed Computing, you'll have the opportunity to create software solutions using Agile practices and DevOps principles. Your responsibilities will include designing, programming, debugging and supporting high quality, distributed, and large scale software solutions on the latest Big Data tech stack. You will develop software systems using test driven development while employing CI/CD practices. You will partner with other engineers and team members to develop software that meets business needs. You will follow Agile methodology for software development and technical documentation. You will innovate constantly and stay current with latest technologies while staying focused on solving problems at hand.

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

About You:
  • BS/MS in Computer Science or equivalent experience
  • 3+ years of experience in operating computing clusters and software development
  • Proven track record in writing code that is correct, maintainable, testable, expressive, easy to change, efficient & fault-tolerant
  • Extensive understanding of software development and design
  • Experience building and supporting APIs
  • Proficiency in at least one of the following languages: Java, Scala, Python
  • Have familiarity and/or experience with the following technologies:
    • Hadoop
    • Hive
    • ZooKeeper
    • Oozie
    • Trino/Presto
    • Ranger
    • Spark
    • Python
    • R
    • Druid
    • Ozone
    • Elasticsearch / Logstash / Kibana (ELK)
    • PostgreSQL
    • Kafka


  • Experience with distributed and parallel processing, computer architecture, operating systems, synchronization, communication
  • Experience with modern CI/CD technologies such as Git, Drone, Docker, Artifactory
  • Understand business fundamentals and how technologies can support business goals along with how to translate business vision into a technical strategy while understanding the financial implications
  • Have proven interpersonal skills, and problem-solving skills
  • Strong team player who understands concepts of teamwork and team effectiveness.
  • Have excellent verbal, written, and presentation communication skills to convey complex technical solutions clearly to an organization
  • Proven track record in writing code that is correct, maintainable, testable, expressive, easy to change, efficient & fault-tolerant


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.

Americans with Disabilities Act (ADA)

Target will provide reasonable accommodations with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Supply Chain Facility or reach out to Guest Services at 1-800-440-0680 for additional information.

Qualifications:

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert