Lead Data Engineer

L3Harris

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Melbourne, FL
Salary
$127,000–$236,500 / yr
Posted
57 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $168k
This role $182k
$113k $250k
below market most similar roles pay here above market

This role pays more than 60% of similar roles. Most pay $126,800–$208,350 — the blue band above. At the midpoint, this role pays about $182k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About L3Harris

L3Harris Technologies is a US aerospace and defense technology company providing space and airborne systems, communications, electronic warfare, and missile propulsion solutions for government and commercial customers.

L3Harris currently has 860 open roles on FindRole.

Listed pay typically runs $106,500–$197,500 across 343 roles with salary data.

Most-posted roles

View all roles at L3Harris

At a glance

TL;DR · Lead Data Engineer

The Lead, Data Engineer joins the Enterprise Data and AI team to manage enterprise-level data life cycle processes. This role involves overseeing data ETL/ELT pipelines, maintaining data frameworks, conducting data cleansing, and orchestrating data consolidation. The individual will build scalable data solutions, maintain ontologies, and develop dashboards within Palantir Foundry to provide actionable insights. Key responsibilities include providing architectural oversight, performing requirements decomposition, and supporting the software development lifecycle. Required technical skills include Palantir Foundry, Azure Data Factory, SSIS, and Python. Preferred competencies include Databricks, JavaScript, Typescript, PySpark, and Spark SQL. The role focuses on the Unified Data Layer, solving the business problem of ensuring seamless, reliable access to clean data for decision-makers across the entire organization.

What you'll do

  • Provide architectural oversight for the company’s data platform to ensure alignment with standards and best practices.
  • Lead design reviews for data sourcing, pipelines, data models, and ontology resources to enhance scalability.
  • Develop architectural artifacts, perform requirements decomposition, and create documentation to support the software development lifecycle.
  • Oversee data pipeline development to ensure scalability, reusability, and high performance.
  • Utilize Palantir Foundry to perform data integration and ontology management for big data analytics.
  • Define data governance, metadata, and ontology standards with cross-functional teams to ensure enterprise consistency.
  • Monitor emerging data technologies to recommend continuous improvements to the data platform architecture.

What we're looking for

  • Must have a Bachelor’s degree and 9 years of Palantir experience, a Graduate degree and 7 years of Palantir experience, or 13 years of 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.
  • Must be a U.S. citizen to be eligible for required security clearances.
  • Experience supporting or implementing solutions that leverage Generative AI capabilities, including RAG, semantic search, and LLM integration (preferred).
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst (preferred).
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript, or other scripting languages (preferred).
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar (preferred).

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