Overview
Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Lead AI Data Engineer
AWS
Python
Kafka or Kinesis
ETL or ELT
AI/ML or RAG or LLM or LLMs
Job Details
AI Data Engineer / Lead AI Data Engineer (AWS & Python)
12 Months contract . Extension
100% Remote - EST Coverage
Needed more than 12 Years of exp.
Note : Needed
- Lead AI Data Engineer (AWS & Python)
- AI Data Engineer (AWS & Python)
Job Description:
- We are seeking a highly skilled and motivated Lead AI Data Engineer with strong expertise in AWS cloud services, Python programming, and data engineering for AI/ML workloads.
- In this role, you will lead the design, development, and optimization of scalable data pipelines, manage data infrastructure, and collaborate closely with data scientists, ML engineers, and business stakeholders to enable advanced analytics and AI solutions.
Required Qualifications:
- Bachelor s or Master s degree in Computer Science, Data Engineering, or related field.
- 9+ years of experience in data engineering, with at least 3+ years in a lead role.
- Strong expertise in Python (data pipelines, APIs, ETL/ELT frameworks).
- Hands-on experience with AWS big data and AI/ML services (Glue, EMR, Redshift, SageMaker, etc.).
- Proven experience building data lakes, data warehouses, and real-time streaming pipelines (Kafka/Kinesis).
- Deep understanding of data modeling, data quality, governance, and security.
- Experience with workflow orchestration tools (Airflow, Step Functions, Prefect).
- Strong understanding of AI/ML data lifecycle and ML pipeline integration.
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.