Description: JOIN TARGET CYBERSECURITY AS A LEAD ENGINEER - THREAT DETECTION ANALYTICS AND ENGINEERING
(Full-Time Remote or Hybrid)
As a Fortune 50 company with more than 400,000 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.
Target is one of the world's most recognized brands and one of America's leading retailers. But behind the brand our Guests love, is a culture of continual innovation - and right now, we are up to big things. The Cyber Fusion Center is the heart of Target's security team and a place where innovation happens daily. Interested in a culture that combines invention and creative freedom, ongoing learning, engineering excellence, and stellar outcomes? We are, too - that's why we work here.
Join our team as a Threat Detection Engineer and take the lead as you develop custom detection and automate investigation tasks for fraud and abuse across the Target Guest experience. As a Lead Engineer, you will work across teams and be accountable for delivery of yourself and the team. In this role, you will work with a team of skilled engineers and analysts to reliably solve complex problems, while getting hands-on experience with cutting edge technologies. We are looking for skilled developers with experience in one or more of the following areas: Python, PySpark / Spark, Java, kafka, and API development. We spend our time analyzing data, writing stream processing applications to detect fraud and abuse, and automate prevention. Our work directly protects Target and our Guests.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
- Four-year degree in Computer Science, Computer Engineering or equivalent preferred
- Experience working with Hive, Elasticsearch, postgres or other database technologies
- Demonstrated understanding of common web application technologies and basic networking knowledge
- Experience with Apache Spark or other stream or batch processing frameworks
- Ability to demonstrate analytical expertise, close attention to detail, excellent critical thinking, logic, and adaptive learning
- Experience with data analysis, detection, or machine learning
- Experience in cyber threat or fraud detection
- Excellent written and oral communication skills
- Willing to work in a team-oriented environment
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target's needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
The salary range is $109,000-$196,200.
Pay is based on several factors which may include, but are not limited to education, work experience, certifications, labor markets, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) 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 Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.