Data Engineer

FORBES TECHNICAL CONSULTING
Des Plaines, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Des Plaines, United States of America

Tech stack

Java
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Azure
Big Data
Google BigQuery
Cloud Computing
Computer Programming
Information Engineering
Data Infrastructure
Data Systems
Data Visualization
Data Warehousing
Database Queries
Python
Machine Learning
Power BI
TensorFlow
Data Streaming
Tableau
PyTorch
Large Language Models
Snowflake
Spark
Generative AI
Data Lake
Git Flow
Scikit Learn
Kubernetes
Data Analytics
Kafka
Terraform
Data Pipelines
Docker
Redshift

Job description

We're partnering with a leading organization to hire a Data & AI Engineer to work on modern data platforms and next-generation AI solutions. This role is ideal for someone who enjoys building scalable systems and working with AWS and Generative AI technologies., * Build and optimize data pipelines, data lakes, and data warehouses

  • Develop and deploy machine learning and Generative AI solutions
  • Collaborate with architects, engineers, and stakeholders on data-driven initiatives
  • Create scalable, reusable data solutions for ongoing and future projects
  • Stay current with AWS services and emerging GenAI trends

Requirements

  • 3+ years of experience in Data Engineering or ML/AI (with exposure to both)
  • Strong SQL skills and experience working with complex datasets
  • Programming experience in Python, Java, or Scala
  • Hands-on experience with AWS, Azure, or GCP (AWS preferred)
  • Familiarity with Git-based workflows
  • Understanding of data modeling and governance concepts
  • Bachelor's degree preferred
  • Cloud or data certifications are a plus (or willingness to obtain)

Preferred Skills:

  • Experience with Generative AI / LLMs (RAG, LangChain, etc.)
  • Tools like Airflow, dbt, Glue, or Fivetran
  • ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with Docker, Kubernetes, Terraform
  • Streaming tools (Kafka, Spark, Kinesis)
  • Data warehouses (Snowflake, Redshift, BigQuery)
  • Visualization tools (Tableau, Power BI, QuickSight)
  • Strong communication and client-facing skills

Additional Info

  • Bachelor's degree preferred
  • Cloud or data certifications are a plus (or willingness to obtain)

Apply for this position