Lead, Data Engineer @ L3Harris Technologies | Jobright.ai
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L3Harris Technologies · 3 hours ago

Lead, Data Engineer

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringData Pipeline DevelopmentETL ToolsPalantir FoundryData IntegrationPySparkSpark SQLCode BuildAzure Data FactorySSISPythonBusiness IntelligenceData WarehouseSnowflakePandasDatabricksJavaScriptInformaticaTalendOracle EBSSAP ECC/S4Deltek Costpoint

Required

Bachelor's with 9 years prior experience in data engineering, Graduate Degree with 7 years prior experience in data engineering. In lieu of a degree, minimum of 13 years of prior related experience in data engineering.
1 year experience with designing and developing data pipelines in PySpark, Spark SQL, or Code Build.
1 year 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.
3 years of experience in Data Integration with Palantir.

Preferred

Strong understanding of Business Intelligence (BI) and Data Warehouse (DW) development methodologies.
Experience with the Snowflake Cloud Data Platform, including data architecture, query optimization, and performance tuning.
Proficiency in Python, 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.

Benefits

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

Company

L3Harris Technologies

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L3Harris Technologies is the Trusted Disruptor in the defense industry.

H1B Sponsorship

L3Harris Technologies has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (6)
2022 (3)
2021 (4)
2020 (6)

Funding

Current Stage
Late Stage
Total Funding
unknown
2016-02-29Acquired· undefined

Leadership Team

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Jamie King
Chief Technology Officer
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Shane Eisenman
Chief Scientist, CTO office
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Company data provided by crunchbase
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