AI Data Engineer

Location: Remote

Duration: 12 months

Bill Rate: $80/hr

Job Type : C2C

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description:

Client is seeking a highly skilled Senior Python / AI Data Engineer with strong expertise in advanced Python development, OpenAI integrations, and cloud-native data engineering on AWS. The ideal candidate will have deep experience building scalable data pipelines, AI-driven solutions, and production-grade ETL systems.

Key Responsibilities:

•             Design, develop, and optimize advanced Python applications for data and AI use cases.

•             Build and integrate OpenAI-based solutions (LLMs, prompt engineering, APIs, embeddings).

•             Develop and maintain ETL/data pipelines for large-scale data processing.

•             Implement workflow orchestration using Apache Airflow.

•             Work with AWS services, including Helix (internal platforms if applicable), data services, and cloud infrastructure.

•             Manage CI/CD pipelines using Harness.

•             Collaborate with data scientists, analysts, and business teams to deliver high-quality data solutions.

•             Ensure best practices for performance, security, scalability, and reliability.

Required Skills & Qualifications:

•             Strong and advanced Python development experience.

•             Hands-on experience with OpenAI / Generative AI APIs.

•             Solid experience with AWS cloud services.

•             Proven expertise in Airflow for orchestration.

•             Experience with Harness for CI/CD.

•             Strong ETL and data engineering skills (data modeling, transformations, pipelines).

•             Strong SQL and data analysis capabilities.

•             Experience working in Agile/DevOps environments.

Preferred Qualifications:

•             Prior experience in financial services or investment management domains.

•             Exposure to large-scale, enterprise data platforms.