Senior Data Engineer - AI Data Platforms (Remote)

GD Resources LLC; United States; Remote; USD 126,000 - 154,000; Full time

Benefits offered by this job

Remote work

Job summary

GD Resources LLC is seeking a Senior Data Engineer in the United States to lead data pipeline architecture and build scalable ETL/ELT workflows for analytics and AI initiatives.

The role focuses on LLM-enabled data foundations, vector stores, embeddings, data freshness, and governance, with AWS-based infrastructure and a client-facing delivery mindset. Remote, full-time, with collaboration across teams.

Qualifications

• Bachelor's degree in data engineering, CS, or related field.
• 5+ years hands-on data engineering experience with senior/lead responsibilities.
• Strong hands-on AWS data services experience.
• Proven ability to design and deliver production-grade ETL/ELT pipelines.

Responsibilities

• Lead pipeline architecture decisions for batch and real-time ingestion.
• Design, build and maintain scalable ETL/ELT workflows with data quality and observability.
• Establish data contracts and standards across projects.
• Ensure data reliability, performance, and scalability; surface bottlenecks.
• Support batch and streaming ingestion patterns, including real-time design.

Skills

Data engineering

AWS data services

ETL/ELT pipelines

Streaming architectures

AI/LLM data workflows

Jira

Client communication

Education

Bachelor's degree or equivalent in CS/Data Engineering

Tools

AWS services

Databricks

dbt

Airflow

Terraform

CDK

Lake Formation

Job description

GD Resources LLC is seeking a Senior Data Engineer in the United States to lead data pipeline architecture and build scalable ETL/ELT workflows for analytics and AI initiatives.

The role focuses on LLM-enabled data foundations, vector stores, embeddings, data freshness, and governance, with AWS-based infrastructure and a client-facing delivery mindset. Remote, full-time, with collaboration across teams.