LPL Financial-posted 5 days ago
Full-time • Mid Level
Charlotte, NY
5,001-10,000 employees

We are seeking a Senior Data Engineer to join a dynamic, high-impact team that designs and builds innovative, cloud-native solutions to power data-driven products at scale. You will leverage Python, AWS, and PostgreSQL to deliver reliable, performant systems—while continuously learning, adapting, and pushing boundaries. If you’re passionate about solving complex problems and thrive in a collaborative environment, this role is for you.

  • Design, develop, and implement high-performance, scalable data services and pipelines using Python.
  • Architect and manage AWS cloud solutions, utilizing services such as Glue, Lambda, RDS, S3, Step Functions, SNS/SQS, and CloudFormation.
  • Build and optimize ETL workflows using AWS Glue and related orchestration tools.
  • Model, optimize, and maintain schemas and queries in PostgreSQL, ensuring performance and reliability.
  • Develop and maintain secure, well-documented APIs and integrations for internal and external systems.
  • Implement CI/CD pipelines and infrastructure-as-code using tools like GitHub Actions, Terraform, or CloudFormation.
  • Ensure code quality through unit/integration testing, logging, and observability practices.
  • Collaborate with product, data science, and platform teams to deliver high-impact features end-to-end.
  • Mentor junior engineers and foster a culture of continuous improvement.
  • Stay current with emerging technologies and advocate for their adoption where appropriate.
  • Strong proficiency in Python for data processing and API development.
  • Hands-on experience with AWS services, including Glue workflows and serverless/data solutions.
  • Solid understanding of PostgreSQL (schema design, query optimization, transactions).
  • Experience with Git, code reviews, testing frameworks (pytest), and modern CI/CD practices.
  • Familiarity with data workflows (batch/streaming) and designing for scale and reliability.
  • Excellent problem-solving skills and clear communication.
  • Exposure to .NET Core (C#) for services/integrations.
  • Experience with containerization and orchestration (Docker, Kubernetes/EKS).
  • Infrastructure-as-Code (Terraform/CloudFormation).
  • Knowledge of AWS security best practices and cost optimization.
  • Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
  • Financial industry experience is a plus.
  • 401K matching
  • health benefits
  • employee stock options
  • paid time off
  • volunteer time off
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