We are looking for a motivated Senior Data Engineer (AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

About Our Customer

You will work with the 6th-largest privately owned organization in the United States. The сustomer is one of the "Big Four" accounting organizations and the largest professional services network in the world in terms of revenue and number of professionals. The company provides audit, tax, consulting, enterprise risk, and financial advisory services to 263,900 professionals globally.

About the Project

As a Data Engineer, you’ll become a part of a cross-functional development team who is working with GenAI solutions for digital transformation across Enterprise Products.
The prospective team you will be working with is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The team focuses on the ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.

Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, Mongo, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot

Requirements

• 6+ years of hands-on experience in software development
• Experience coding in SQL/Python, with solid CS fundamentals including data structure and algorithm design
• Hands-on implementation experience working with a combination of the following technologies: Hadoop, Map Reduce, Kafka, Hive, Spark, SQL and NoSQL data warehouses
• Experience in Azure cloud data platform
• Experience working with vector databases (Milvus, Postgres, etc.)
• Knowledge of embedding models and retrieval-augmented generation (RAG) architectures
• Understanding of LLM pipelines, including data preprocessing for GenAI models
• Experience deploying data pipelines for AI/ML workloads, ensuring scalability and efficiency
• Familiarity with model monitoring, feature stores (Feast, Vertex AI Feature Store), and data versioning
• Experience with CI/CD for ML pipelines (Kubeflow, MLflow, Airflow, SageMaker Pipelines)

• Understanding of real-time streaming for ML model inference (Kafka, Spark Streaming)
• Knowledge of Data Warehousing, design, implementation and optimization
• Knowledge of Data Quality testing, automation and results visualization
• Knowledge of BI reports and dashboards design and implementation (PowerBI)
• Experience with supporting data scientists and complex statistical use cases highly desirable

English level
Intermediate+

Responsibilities

• Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process terabytes of data quickly at big-data scales
• Contributes design, code, configurations, manage data ingestion, real-time streaming, batch processing, ETL across multiple data storages
• Responsible for performance tuning of complicated SQL queries and Data flows