Senior Engineer - Fraud & Abuse Data Engineering at Target

Brooklyn Park, Minnesota, United States

Target Logo
$95,000 – $171,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
RetailIndustries

Requirements

  • BA/BS or equivalent; 4+ years building large-scale data systems
  • Proficient in core platforms; writes organized, maintainable code across multiple languages and distributed frameworks
  • Skilled in package configuration/deployment and building custom solutions
  • Designs robust tests; troubleshoots and resolves routine and non-routine issues independently
  • Delivers high-performance, scalable, secure solutions (high throughput/low latency)
  • Operates effectively in Agile: communicates clearly with partners, aligns team priorities, and understands guest/business impact
  • Influences and applies data/engineering expertise

Responsibilities

  • Design, build, and operate scalable batch and streaming data pipelines (Kafka) and ETL/ELT workflows across Hadoop and Google Cloud Platform (GCP); implement monitoring/alerting to meet reliability and SLA targets
  • Develop high-performance distributed processing with Python, Spark, and Hive; optimize jobs, storage, and throughput for large-scale, high-volume datasets and cost efficiency
  • Deliver curated, trustworthy datasets for analytics, reporting, and ML with strong data quality, lineage, and governance
  • Partner with data scientists to operationalize ML on GCP (e.g., Vertex AI), building MLOps pipelines for training, deployment, CI/CD, monitoring, and automated retraining
  • Integrate on-prem Hadoop data lakes with GCP services to enable seamless hybrid data and model workflows
  • Collaborate with analysts and product engineers to ensure data is accessible, high-quality, and actionable; provide technical mentorship to junior engineers
  • Uphold security, privacy, and regulatory compliance across all data engineering practices
  • Continuously evaluate technologies and design patterns, and drive improvements in performance, scalability, and cost across Hadoop and GCP environments

Skills

Data Engineering
Application Architecture
Software Engineering Patterns
Scalable Systems
Programming
Software Design
Problem Solving
Operational Triage

Target

Retailer offering diverse consumer goods

About Target

Target Corporation is a retail company that offers a wide range of products, including clothing, electronics, home goods, and groceries, through nearly 2,000 stores and an online platform. Its "Design For All" philosophy allows it to provide high-quality, affordable products that cater to diverse customer needs. Target differentiates itself from competitors with its owned brands and the Target Circle loyalty program, which enhances customer engagement. The company's goal is to support sustainability and community initiatives by giving back 5% of its profits to local communities.

Minneapolis, MinnesotaHeadquarters
2005Year Founded
N/ACompany Stage
Consumer GoodsIndustries
10,001+Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Paid Sick Leave
Paid Holidays
Paid Vacation
401(k) Retirement Plan
Employee Discounts

Risks

Increased competition from online-only retailers like Amazon threatens Target's market share.
Rising labor costs due to new minimum wage laws could impact profit margins.
Supply chain vulnerabilities from geopolitical tensions may affect inventory and pricing strategies.

Differentiation

Target's 'Design For All' philosophy offers unique, high-quality products at affordable prices.
The Target Circle loyalty program enhances customer engagement and shopping experience.
Target's commitment to sustainability and community support sets it apart from competitors.

Upsides

Experiential retail and 'retailtainment' strategies can boost customer engagement and foot traffic.
Augmented reality integration offers immersive shopping experiences showcasing Target's unique designs.
Omnichannel retail strategies enhance customer experience by integrating online and offline shopping.

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