Cloud & AI Data Engineer II

LPL Financial; Austin (TX); On-site; USD 55,000 - 92,000; Full time

Job summary

LPL Financial is seeking an Engineer II, Data (Cloud & AI) to design, build, and operate cloud‑native data solutions at scale. You will work across data ingestion, validation, transformation, and enrichment within the EDIF, leveraging AWS, Terraform, and AI tools to improve productivity and reliability.

The role combines data engineering, cloud engineering, and AI‑assisted development to modernize data platforms, improve observability, and support mission‑critical production systems.

Qualifications

• Bachelor’s or Master’s degree with relevant software/engineering experience.
• Hands‑on experience with AWS services including S3, Lambda, Glue, CloudWatch, IAM, EventBridge, and Athena.
• Proficiency in Python and/or PySpark for data transformation, SQL, API integrations, and Git/GitHub.
• Experience in ETL/ELT pipelines, data validation, and batch or event‑driven processing.

Responsibilities

• Design, develop, and maintain cloud-based data ingestion and transformation pipelines.
• Develop and support AWS-based solutions and Terraform infrastructure.
• Utilize AI coding assistants and generative AI services to accelerate development.
• Participate in incident response, root cause analysis, and reliability improvements.
• Collaborate with product managers, architects, and data consumers in Agile teams.

Skills

Python

PySpark

SQL

Git/GitHub

AWS

Education

Bachelor's degree in Computer Science or related field

Master's degree in CS/Data/AI or related field

Tools

Terraform

CI/CD tooling

OpenAI APIs

Bedrock

Job description

LPL Financial is seeking an Engineer II, Data (Cloud & AI) to design, build, and operate cloud‑native data solutions at scale. You will work across data ingestion, validation, transformation, and enrichment within the EDIF, leveraging AWS, Terraform, and AI tools to improve productivity and reliability.

The role combines data engineering, cloud engineering, and AI‑assisted development to modernize data platforms, improve observability, and support mission‑critical production systems.