Overview
On Site
Full Time
Skills
Advanced Analytics
Marketing
Training
Extract
Transform
Load
ELT
Analytics
Reporting
Database
Data Flow
Artificial Intelligence
Amazon Kinesis
Amazon SageMaker
Workflow
High Availability
Continuous Integration
Continuous Delivery
Automated Testing
Machine Learning (ML)
Data Architecture
Computer Science
Data Engineering
Java
RESTful
SQL
Spring Framework
Google Cloud
Google Cloud Platform
Amazon Web Services
Python
Real-time
Ad Serving
Performance Tuning
Orchestration
Apache Airflow
Step-Functions
Apache Beam
Apache Kafka
Apache Flink
Apache Spark
Streaming
Cloud Computing
Amazon DynamoDB
Amazon RDS
Remote Desktop Services
Caching
Redis
Memcached
Management
Concurrent Computing
Messaging
AIM
Job Details
Join Best Buy's Ad Serving team to help design, build, and operate a next-generation, machine learning-powered Ad Serving platform. In this role, you'll be at the core of integrating large-scale data pipelines, real-time model serving, and advanced analytics to deliver optimal, high-performance ad experiences.
As a member of the Ad Decisioning team, you will work with other engineering teams across the Best Buy marketing ecosystem to create an integrated, reliable, and scalable system spanning Google Cloud Platform and AWS. Your work will ensure that data flows seamlessly-from ingestion, transformation, and model training to real-time ad delivery decisions.
This role is remote eligible, which means you would work virtually from home or another non-Best Buy location.
What You'll Do
Basic Qualifications
Preferred Qualifications
What's in it for you
We're committed to helping our people thrive at work and at home. We offer generous benefits that support your total well-being and provide help when you need it most.
Our benefits include:
About us
As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life-in our stores, online, and in customers' homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.
Best Buy is an equal opportunity employer.
Position Type: Full timePandoLogic. Keywords: Data Engineer, Location: Minneapolis, MN - 55423
As a member of the Ad Decisioning team, you will work with other engineering teams across the Best Buy marketing ecosystem to create an integrated, reliable, and scalable system spanning Google Cloud Platform and AWS. Your work will ensure that data flows seamlessly-from ingestion, transformation, and model training to real-time ad delivery decisions.
This role is remote eligible, which means you would work virtually from home or another non-Best Buy location.
What You'll Do
- Design and implement scalable ETL/ELT pipelines to process large volumes of clickstream, behavioral, and ad performance data in real time and batch modes.
- Build and maintain integrations between the Ad Server, ML models, and supporting systems such as UIs, analytics platforms, and reporting databases.
- Work closely with data scientists to operationalize ML models for real-time ad decisioning and bidding.
- Leverage Google Cloud Platform Big Query, Dataflow, Pub/Sub, AI Platform and AWS Glue, Kinesis, Lambda, SageMaker, Athena for data ingestion, transformation, and model deployment.
- Architect cloud-native data workflows ensuring high availability, low latency, and fault tolerance.
- Work with the operations team to develop CI/CD pipelines for data pipelines and ML model deployments, enabling fully automated testing and releases.
- Participate in on-call rotation and provide operational support for data pipelines and ML-driven ad serving.
- Anticipate and solve data architecture and integration challenges before they impact production.
Basic Qualifications
- 7 years of relevant experience with a Bachelor's in Computer Science, Data Engineering; or equivalent combination of relevant professional experience and education.
- 7 years of modern development with Java, REST services, and SQL, with some exposure to Spring Boot
- 7 years of experience diagnosing and resolving complex, production-grade data and/or model serving issues
- 5 years of hands-on cloud experience in Google Cloud Platform or AWS
- 5 years of experience in designing and managing distributed data systems and pipelines
- 5 years of Ad Tech Experience
- 3 years of Python experience
- Demonstrated experience collaborating with data scientists, product managers, and operations engineers
- Ability to travel to Richfield, MN 1x per quarter
Preferred Qualifications
- Experience with high-throughput, real-time Ad Serving systems processing thousands of requests per second
- Strong understanding of ad delivery, targeting, and performance optimization concepts
- Proficiency in data orchestration tools (Apache Airflow, Cloud Composer, Step Functions)
- Deep familiarity with streaming data frameworks (Apache Beam, Kafka, Flink, Spark Structured Streaming)
- Experience with cloud-native data stores (Big Query, DynamoDB, Aurora, RDS) and caching systems (Redis, Memcached)
- Knowledge of distributed systems principles-state management, concurrency, messaging, and inter-service data consistency
What's in it for you
We're committed to helping our people thrive at work and at home. We offer generous benefits that support your total well-being and provide help when you need it most.
Our benefits include:
- Competitive pay
- Generous employee discount
- Physical and mental well-being support
About us
As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life-in our stores, online, and in customers' homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.
Best Buy is an equal opportunity employer.
Position Type: Full timePandoLogic. Keywords: Data Engineer, Location: Minneapolis, MN - 55423
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.