Palantir Data Engineer

Accenture Federal Services • Chantilly, VA

1d

About The Position

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 Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. The Data Engineer will also integrate with external systems via API, parse API responses into usable data objects, design user interfaces, and develop custom functions with TypeScript. Data Engineer will conduct code reviews, solution brainstorming, and define UI designs and functionalities.

Requirements

• 4 to 7+ years of experience with the following:
• Python
• Palantir Foundry
• Palantir Pipeline Builder
• Palantir Workshop
• TypeScript
• Development and maintenance of extract, transform and load (ETL) tools and services
• Cloud and on-prem data storage and processing solutions
• Python, SQL, Spark and other data engineering programming
• COTS and open-source data engineering tools such as ElasticSearch and NiFi
• Agile / Scrum
• Security clearance : Active TS/SCI with Poly clearance is required

Responsibilities

• Movement of structure and unstructured data using approved methods.
• Execute data ingestion activities for storing data in a local or enterprise level location.
• Develop code to format data that supports exploration.
• Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives.
• Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models.
• Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards.
• Develop and deliver documentation for each project including ETL mappings, code use guide, code location, and access instructions.
• Perform tier 2 level triage with customers and translate concerns into specific requirements.
• Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees