Platform Engineer — AI-Driven ETL Pipelines & Observability

Avalore.ai

Herndon (VA)

On-site

USD 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Health care plan (Medical, Dental & V&
Retirement plan (401k, IRA) with match
Life Insurance (Basic, Voluntary & AD&
Paid Time Off (Vacation, Sick & Public
Short/Long Disability
Training & Development
Employee Assistance Program

Job summary

Avalore.ai in Herndon, VA is seeking a Palantir Platform Engineer to architect and optimize ETL workflows within the Palantir ecosystem. You will connect ETL conditioners to Palantir tooling to boost observability and enhance data conditioning, ensuring stakeholders gain clear insight into each transformation phase.

You will apply PySpark and Python to build scalable data pipelines, enable AI-assisted processing, and reinforce data governance and validation as products move toward advanced

Qualifications

  • Active Security Clearance with polygraph is required.
  • Experience with Palantir Foundry.
  • Strong understanding of Ontology and Data Ontology.
  • Expertise in building and integrating ETL Pipelines.
  • Proficiency in PySpark and Python.
  • Experience with Logging and Monitoring solutions.
  • Knowledge of Data Governance best practices.
  • Familiarity with DevOps methodologies.
  • Experience leveraging AI to augment data pipelines.
  • Strong skills in Validation of data products.

Responsibilities

  • Integrate and optimize ETL workflows within the Palantir ecosystem.
  • Connect ETL conditioners to Palantir tooling to improve observability.
  • Design and implement robust data pipelines for seamless data flow.
  • Leverage AI to accelerate data processing and quality improvements.
  • Support data governance and validation for analytics readiness.
  • Manage deployment and operational aspects of the platform.
  • Collaborate with cross-functional teams to deliver actionable data insights.

Skills

Security clearance
Ontology concepts
Data governance
AI in data pipelines
DevOps practices
Observability
Cross-functional collaboration
Data quality validation

Tools

Palantir Foundry
PySpark
Python
Logging & monitoring tools
Ontology modeling

Job description

Avalore.ai in Herndon, VA is seeking a Palantir Platform Engineer to architect and optimize ETL workflows within the Palantir ecosystem. You will connect ETL conditioners to Palantir tooling to boost observability and enhance data conditioning, ensuring stakeholders gain clear insight into each transformation phase.

You will apply PySpark and Python to build scalable data pipelines, enable AI-assisted processing, and reinforce data governance and validation as products move toward advanced

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