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Target · 3 months ago

Senior Engineer - Fraud & Abuse Data Engineering

7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445

Full-time

Hybrid

Mid, Senior Level

$95K/yr - $171K/yr

4+ years exp

Target is a leading retail company dedicated to helping families discover the joy of everyday life. As a Senior Engineer, you will design and implement scalable data systems and collaborate with data scientists to operationalize machine learning solutions.

CommunitiesE-CommerceRetailShopping

H1B Sponsor Likely

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

Qualification

PythonApache SparkGoogle Cloud PlatformData EngineeringKafkaSQLMLOpsCollaborationCommunicationMentoring

Required

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 standards and policies; maintains expertise and stays current through ongoing learning

Strong proficiency in Python and SQL

Hands-on experience with Apache Spark and the Hadoop ecosystem (HDFS, Hive, Pig, Oozie, Sqoop, YARN)

Experience with real-time data streaming technologies (Kafka, Flink, Spark Streaming)

Expertise with GCP services: BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI (AI Platform)

Experience building and maintaining MLOps pipelines for deploying and scaling ML models

Strong knowledge of data governance, security, and compliance best practices

Excellent collaboration and communication skills with a track record of cross-functional partnership

Prior experience mentoring and guiding junior engineers

Benefits

Comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more

401(k)

Employee discount

Short term disability

Long term disability

Paid sick leave

Paid national holidays

Paid vacation

Company

Target

Glassdoor3.5

Target is a retailing company providing access to a wide selection of products such as furniture, electronics, toys, and others.

Founded in 1962

Minneapolis, Minnesota, USA

10001+ employees

https://www.target.com

H1B Sponsorship

Target has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (1)

2022 (2)