Hybrid Senior Backend Data Engineer – Reference Data, AWS

Posted 5 days ago

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About the role

  • Senior Backend Data Engineer developing scalable party data solutions at LPL Financial. Involved in cloud-native data architectures and mentoring junior engineers.

Responsibilities

  • Design, develop, and maintain party reference data services and pipelines supporting clients, counterparties, issuers, and legal entities.
  • Build and enhance cloud-native data solutions using AWS services such as Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis.
  • Contribute to modernization efforts by migrating legacy party data systems from on-premise platforms to scalable, cloud-based architectures.
  • Integrate and manage third-party data providers to ensure accurate ingestion, enrichment, and synchronization of party data.
  • Implement data mastering capabilities including deduplication, survivorship rules, identity resolution, and golden record creation.
  • Develop and maintain APIs and data services to deliver party data to downstream systems.

Requirements

  • Minimum of 5 years of experience in data engineering or software development with a strong focus on enterprise data platforms.
  • Experience with AWS services, including Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis.
  • Experience building data pipelines, APIs, and event-driven architectures.
  • Experience building APIs using Python on AWS Lambda behind API Gateway.
  • Experience with data mastering concepts such as identity resolution, source system prioritization, and golden record management.

Benefits

  • 401K matching
  • health benefits
  • employee stock options
  • paid time off
  • volunteer time off

Job title

Senior Backend Data Engineer – Reference Data, AWS

Job type

Experience level

Senior

Salary

$106,125 - $176,875 per year

Degree requirement

Bachelor's Degree

Location requirements

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