Palantir Platform Engineer

The posting, as Accenture Federal Services wrote it

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

Job Description

The Palantir Platform Engineer assists with integrating custom ETL workflows into the Palantir platform. This includes connecting ETL conditioners to Palantir tooling to increase observability, accelerating data conditioning efforts, and ensuring stakeholders have full insight and knowledge into each step of the transformation process. The Palantir Platform Engineer also uses AI to augment pipelines, increasing the speed and efficiency of data processing efforts while also ensuring to validate products prior to integration into analytics tools for data exploitation.

Your focus on data governance and validation will be essential as you prepare products for integration into advanced analytics tools, ensuring data quality and reliability. Experience with DevOps practices will be valuable as you manage deployment and operational aspects of the platform, while your familiarity with Palantir Foundry and ontology modeling will help you navigate complex data environments. Success in this role will be supported by a strong background in building scalable ETL solutions, implementing monitoring frameworks, and collaborating with cross-functional teams to deliver actionable data insights.

What you'll do

• 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 your expertise in 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.

Here is what you'll need

• 8+ years of experience with DevOps practices or a related field.
• Experience in the following areas:
• Expertise in building and integrating ETL Pipelines
• Proficiency in PySpark and Python
• Experience leveraging AI to augment data pipelines

Bonus points if you have

• Bachelor’s Degree
• Palantir Foundry
• Strong understanding of Ontology and Data Ontol

[…]
ions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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