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L3Harris
L3Harris

Produces products for command and control systems, wireless equipment, tactical radios, avionics and electronic systems, night vision equipment, in...

Lead, Data Engineer

职能数据工程
级别Lead级
地点Melbourne, FL, United States
方式现场办公
类型全职
发布1周前
立即申请

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title:

Lead, Data Engineer

Job Code:

35106

Job Location:

Melbourne, FL (On Site)

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:

  • Design, build, and maintain robust data pipelines to ensure reliable data flow across the enterprise.
  • Maintain data pipeline schedules, orchestrate workflows, and monitor the overall health of data pipelines to ensure continuous data availability.
  • Create, update, and optimize data connections, datasets, and transformations to align with business needs.
  • Troubleshoot and resolve data sync issues, ensuring consistent and correct data flow from source systems.
  • Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use.
  • Utilize Palantir Foundry to establish data connections to source applications, extract and load data, and design complex logical data models that meet functional and technical specifications.
  • Develop and manage data cleansing, consolidation, and integration mechanisms to support big data analytics at scale.
  • Build visualizations using Palantir Foundry tools and assist business users with testing, troubleshooting, and documentation creation, including data maintenance guides.

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 with designing and developing data pipelines in Py Spark, Spark SQL, SQL or Code Build.
  • Experience in building and deploying data synchronization schedules and maintaining data pipelines using Palantir Foundry.
  • Strong understanding of Business Intelligence (BI) and Data Warehouse (DW) development methodologies.
  • Hands-on experience with the Snowflake Cloud Data Platform, including data architecture, query optimization, and performance tuning.
  • Proficiency in Python, Py Spark, Pandas, Databricks, JavaScript, or other scripting languages for data processing and automation.
  • Experience with other ETL tools such as Azure Data Factory (ADF), SSIS, Informatica, or Talend is highly desirable.
  • Familiarity with connecting and extracting data from various ERP applications, including Oracle EBS, SAP ECC/S4, Deltek Costpoint, and more.
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex or similar.

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 $125,000-$232,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $108,500-$201,500. 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.

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

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关于L3Harris

L3Harris

L3Harris

Public

L3Harris Technologies, Inc. is an American technology company, defense contractor, and information technology services provider that produces products for command and control systems, wireless equipment, tactical radios, avionics and electronic systems, night vision equipment, intelligence,...

10,001+

员工数

Melbourne

总部位置

$18B

企业估值

评价

10条评价

3.7

10条评价

工作生活平衡

3.0

薪酬

4.0

企业文化

4.2

职业发展

2.8

管理层

2.5

65%

推荐率

优点

Good benefits and competitive pay

Supportive and collaborative team environment

Cutting-edge technology and interesting projects

缺点

Poor management and lack of direction

High stress, pressure and long hours

Limited career advancement opportunities

薪资范围

37个数据点

Junior/L3

Senior/L5

Junior/L3 · Specialist, Network Planning Engineering

4份报告

$125,840

年薪总额

基本工资

$96,800

股票

-

奖金

-

$117,748

$136,422

面试评价

5条评价

难度

3.2

/ 5

时长

14-28周

录用率

20%

体验

正面 0%

中性 80%

负面 20%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Final Technical Interview

5

Offer

常见问题

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience