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

Company Description

Jobs for Humanity is partnering with Target to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities:
Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name:
Target

• Full-time

Location:

7000 Target Pkwy N, Brooklyn Park, Minnesota, United States, 55445

Pay range: $83,800.00 - $

Target cares about and invests in its team members, offering comprehensive health benefits and programs, including medical, vision, dental, life insurance, and more, as well as 401(k), employee discount, short‑term disability, long‑term disability, paid sick leave, paid national holidays, and paid vacation. For more information, visit

Join Us as a Senior Engineer – Big Data Infra Engineering (Hadoop, Spark, Druid)

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.

The Target High Performance Distributed Computing team creates the platforms and tools to enable our business partners to make great data‑based decisions s team helps manage hardware and software for large‑scale distributed computing, frequently angling towards data analytics and Artificial Intelligence/Machine Learning applications. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content, and serve as the source of data and analytics behind Target’s Supply Chain optimization, fraud detection, demand forecasting, and metrics to support our stores.

As a Senior Engineer, High Performance Distributed Computing, you will design, program, debug and support 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, follow Agile methodology for software development and technical documentation, and innovate constantly 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.

• 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
• Zoo Keeper
• 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…