Palantir Platform Engineer — AI-Driven Data Pipelines

Accenture

Herndon (VA)

On-site

USD 159,000 - 265,000

Full time

14 days+

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Accenture Federal Services is seeking a Palantir Platform Engineer to integrate ETL workflows into the Palantir platform, boosting observability and data conditioning. You will apply AI to accelerate pipelines and verify products before analytics integration.

You will also focus on data governance and validation, preparing solutions for advanced analytics while managing deployment and DevOps aspects of the platform.

Qualifications

8+ years of experience with DevOps practices or a related field.
Expertise in building and integrating ETL Pipelines.
Proficiency in PySpark and Python.
Experience leveraging AI to augment data pipelines.
Strong understanding of Ontology and Data Ontology.
Experience connecting ETL conditioners to Palantir tooling.

Responsibilities

Connect ETL conditioners to Palantir tooling, which enhances observability and accelerates data conditioning efforts.
Ensure that stakeholders maintain comprehensive insight into each phase of the transformation process, leveraging data ontology, logging, and monitoring.
Utilizing your skills in PySpark and Python, you will design and implement robust data pipelines that support seamless data flow and transformation.
Harness AI to augment and optimize data pipelines, driving greater speed and efficiency in processing large datasets.

Skills

DevOps

ETL pipelines

PySpark

Python

AI in pipelines

Data governance

Ontology

Palantir tooling

Education

Bachelor’s Degree

Tools

Palantir Foundry

Job description

You will also focus on data governance and validation, preparing solutions for advanced analytics while managing deployment and DevOps aspects of the platform.

Get your free, confidential resume review.

or drag and drop your file here.