Data Engineer / Senior Data Engineer
ArcadiaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, TechnologyIndustries
Requirements
- 6–10 years of experience in software engineering, with strong exposure to large-scale distributed systems
- Proficiency in Python, FastAPI, and data processing frameworks such as Spark
- Working knowledge of Java/Scala for performance-critical components is a plus
- Solid experience in frontend development, preferably with React or Next.js, to build interfaces and control panels for AI agents
- Strong understanding of agentic frameworks (e.g., LangGraph, LangChain) and LLM orchestration concepts
- Awareness of ML models, their deployment patterns, and interaction with Gen AI agents
- Experience developing and deploying product-ready Gen AI agents
Responsibilities
- Design and develop scalable data systems: Build and optimize high-performance data pipelines and APIs using Python, FastAPI, Spark, and Airflow, ensuring reliability and efficiency for large-scale distributed data
- Design and implement AI Agents using LangGraph or other agentic frameworks, capable of orchestrating data workflows, integrating with APIs, and leveraging LLMs and ML models for decision-making
- Deliver production-grade agents that are containerized, monitored, and scalable — with strong focus on observability, traceability, and monitoring
- Take full responsibility to build, deploy, and maintain systems — including Kubernetes scheduling, CI/CD pipelines, and infrastructure setup using Terraform
- Build modern, intuitive interfaces using React or Next.js to interact with agents, visualize data, and enable observability and control for end users
- Instrument applications for observability, monitoring, and traceability, ensuring reliability and performance at scale
- Manage cloud deployments hands-on with Google Cloud Platform (GCP) services like BigQuery, Cloud Run, Vertex AI, and GCS to deploy and scale AI systems
- Build containerized agents with Docker and orchestrate deployment using Kubernetes. Leverage CI/CD systems for continuous delivery and environment automation
- Optimize for scale and maintainability: Design with scalability in mind — ensuring systems can support multiple concurrent agents, handle high throughput, and adapt to growing data volumes
Skills
Python
FastAPI
Spark
Airflow
LangGraph
Data Pipelines
APIs
Generative AI
Agentic Systems
Walmart
Global retail chain offering affordable products
About Walmart
Walmart operates a chain of hypermarkets, discount department stores, and grocery stores, providing a wide variety of products at low prices to everyday consumers, families, and communities. The company combines physical retail locations with an e-commerce platform, allowing customers to shop for groceries, apparel, electronics, and household items both in-store and online. Walmart's efficient supply chain management and large-scale purchasing enable it to maintain affordability, setting it apart from competitors. The company also offers financial services and health and wellness services, including pharmacies and vision centers. Walmart's goal is to save people money and support communities, as demonstrated by its efforts during the COVID-19 pandemic and its commitment to social responsibility, including programs for veterans and military families.
Bentonville, ArkansasHeadquarters
1962Year Founded
$5,515MTotal Funding
IPOCompany Stage
Financial Services, Consumer GoodsIndustries
10,001+Employees
Benefits
PTO: Paid vacation, sick time, personal time and holiday time
10% discount on regularly priced general merchandise and fresh fruits and vegetables
6% 401(k) match to all employees, including hourly workers, after one year
Roth IRA available
Associate Stock Purchase Plan
maximum and eligible preventive care covered at 100%
Health reimbursement plans
Risks
Rising U.S. labor costs could pressure profit margins.
Amazon's grocery delivery expansion threatens Walmart's market share.
Fintech investments expose Walmart to financial regulatory risks.
Differentiation
Walmart's omnichannel strategy integrates physical and online retail seamlessly.
The company offers a wide range of products at consistently low prices.
Walmart's commitment to community support enhances its brand reputation.
Upsides
Walmart's investment in fintech expands its financial services offerings.
Robotics integration in distribution centers boosts operational efficiency.
Culturally themed product lines attract diverse customer segments.
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