Must have

• Data engineering

• SQL

• Python

• Hadoop

• Testing

• Azure Cloud

• LLM

• CI/CD

• Kafka

• Power BI

• English (B2)

Nice to have

• Degree

Requirements description

• 6+ years of background in data engineering
• 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
• Knowledge of Data Warehousing, design, implementation and optimization
• Practice in Data Quality testing, automation and results visualization
• Competency in Azure cloud data platform
• Skills in 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
• Expetise 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 BI reports and dashboards design and implementation (PowerBI)
• Experience with supporting data scientists and complex statistical use cases highly desirable

Offer description

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!

Work at Exadel - Who We Are

We don’t just follow trends—we help define them. For 25+ years, Exadel has transformed global enterprises. Now, we’re leading the charge in AI-driven solutions that scale with impact. And it’s our people who make it happen—driven, collaborative, and always learning.

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

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Your responsibilities

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