Career Opportunities: Lead, Data Engineer (44182)
- Location
- Remote
- Workplace
- Remote
- Employment
- —
- Salary
- USD 127,000–236,500/yr
Career Opportunities
Lead, Data Engineer (44182)
Loading...
Skip to Main Content
Sign In
Language
English US (English US)Collapsed. To expand press enterExpanded. To collapse press enter
Career Opportunities: Lead, Data Engineer (44182)
Requisition ID 44182 - Posted 09/09/2026 - USA-FL-Remote More (1)
Job Description Print Preview
Apply Save Job Email Job to Friend Return to List
Job Title
Lead, Data Engineer
Job Code
44182
Job Location
Melbourne, FL or Remote Opportunity
Job Schedule
9/80
Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off
Job 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, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and 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, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.
Essential Functions
- Provide architectural oversight for the company’s data platform and related initiatives, ensuring alignment with company standards and best practices
- Assist development initiatives with design reviews, offering guidance on architecture and data modeling
- Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
- Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
- Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
- Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
- Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
- Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
- Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture
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.
Preferred Additional Skills
- 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
In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,000-$236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $110,500-$205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.
#LI-Remote
#LI-NR1
Apply Save Job Email Job to Friend Return to List
Email this job to a friend
The job has been sent to
Please provide the information below
Job title
*Your friend’s email address
Message
Maximum character limit
1000
*Confirm you are not a robot
Send Cancel
Skills
- ETL
- ELT
- Foundry
- Azure Data Factory
- SSIS
- Python
- Generative AI
- Retrieval-Augmented Generation
- LLM
- Pandas
- Databricks
- JavaScript
- TypeScript
- OpenAI
- Snowflake
- PySpark
- Spark
- SQL
Similar roles
Data Analyst (SQL & dbt)
Saas.group · EMEA · today
Data Scientist
JPMC Candidate Experience page · Metro Manila, National Capital Region, Philippines · today
Data Scientist Associate
JPMC Candidate Experience page · Bengaluru, Karnataka, India · today
Risk and Integrity Data Engineer
Evolution · Tbilisi, Tbilisi, Georgia · today
Senior Data Scientist II
Chubb External · Bangalore, Karnataka, India · today
Quant Analytics Senior Associate (Audience Management Validation/Data Management)
JPMC Candidate Experience page · Metro Manila, National Capital Region, Philippines · today