Platform Engineer: AI-Driven ETL & Data Governance

Avalore, LLC

Herndon (VA)

On-site

USD 130,000 - 190,000

Full time

5 days ago
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Benefits offered by this job

Health care plan
Retirement plan
Life insurance
Paid time off
Disability insurance
Training & development
Employee assistance program

Job summary

Avalore, LLC is seeking a Palantir Platform Engineer to integrate ETL workflows within the Palantir ecosystem. You will connect ETL conditioners to Palantir tooling and enhance observability, leveraging data ontology, logging, and monitoring to ensure reliable data transformations.

Proficiency in PySpark and Python will drive design and implementation of robust data pipelines. You will also apply AI to optimize processing and ensure end-to-end data quality and governance in collaboration with

Qualifications

  • Experience with Palantir Foundry and Palantir tooling.
  • Expertise in building and integrating ETL pipelines.
  • Strong knowledge of data ontology and governance.

Responsibilities

  • Design and implement robust data pipelines using PySpark and Python to support data flow and transformation.
  • Connect ETL conditioners to Palantir tooling to improve observability and speed of data conditioning.
  • Ensure stakeholders have comprehensive visibility into each phase of the transformation process.
  • Leverage AI to augment and optimize data pipelines for faster processing of large datasets.
  • Apply DevOps practices to manage deployment and operations of the platform.
  • Navigate Palantir Foundry and ontology modeling to operate in complex data environments.
  • Build scalable ETL solutions and implement monitoring frameworks across the data platform.
  • Collaborate with cross-functional teams to deliver actionable data insights.

Skills

Palantir Foundry
Ontology modeling
ETL pipelines
PySpark
Python
Logging & monitoring
Data governance
DevOps
AI for data pipelines
Data validation

Tools

Palantir tooling

Job description

Avalore, LLC is seeking a Palantir Platform Engineer to integrate ETL workflows within the Palantir ecosystem. You will connect ETL conditioners to Palantir tooling and enhance observability, leveraging data ontology, logging, and monitoring to ensure reliable data transformations.

Proficiency in PySpark and Python will drive design and implementation of robust data pipelines. You will also apply AI to optimize processing and ensure end-to-end data quality and governance in collaboration with

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