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Lead, Data Engineer

Full-time

L3HHCM20

Role Description

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes:

  • Overseeing data ETL/ELT pipelines
  • Ensuring adherence to data standards
  • Maintaining data frameworks
  • Conducting data cleansing
  • Orchestrating data pipelines
  • Ensuring data consolidation

The selected individual will play a pivotal role in:

  • Maintaining ontologies
  • Building scalable data solutions
  • Developing dashboards to provide actionable insights for the enterprise within Palantir Foundry

This position will support the company’s modern data platform, Unified Data Layer, focusing on:

  • Data pipeline development and maintenance
  • Data platform design
  • Documentation
  • User training

The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Qualifications

  • Bachelor’s Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience. In lieu of degree, minimum 13 years of prior Palantir experience.
  • Minimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
  • Minimum of 4 years of experience in Data Integration.

Requirements

  • Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration.
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst.
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies.
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages.
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar.
  • Hands-on experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL.
  • Familiarity with SDLC processes and architecture review or data governance board processes.

Benefits

  • Health and disability insurance
  • 401(k) match
  • Flexible spending accounts
  • EAP
  • Education assistance
  • Parental leave
  • Paid time off
  • Company-paid holidays
Vacancy posted a month ago
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