L3Harris Technologies

Senior Associate, Data Engineer

L3Harris Technologies

full-time

Posted on:

Location Type: Hybrid

Location: TallahasseeFloridaUnited States

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Salary

💰 $79,000 - $146,500 per year

Job Level

About the role

  • 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.

Requirements

  • Bachelor’s Degree and minimum 2 years of prior relevant experience.
  • Graduate Degree and a minimum of 0 to 2 years of prior related experience.
  • In lieu of a degree, minimum of 6 years of prior related experience.
  • 2+ years experience with designing and developing data pipelines in PySpark, Spark SQL, SQL or Code Build.
  • 2+ years experience in building and deploying data synchronization schedules and maintaining data pipelines using Palantir Foundry.
  • 2+ years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
  • 2+ years of experience in Data Integration.
Benefits
  • health and disability insurance
  • 401(k) match
  • flexible spending accounts
  • EAP
  • education assistance
  • parental leave
  • paid time off
  • company-paid holidays
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesdata synchronizationdata integrationPySparkSpark SQLSQLETLdata cleansingdata transformationbig data analytics
Soft Skills
collaborationtroubleshootingdocumentationdata quality assurance
Certifications
Bachelor's DegreeGraduate Degree