Data Pipeline Engineer Job at Momento USA, New York, NY

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  • Momento USA
  • New York, NY

Job Description

Position: Data Pipeline Engineer

Location: NYC, NY OR Washington, DC (Georgetown) OR Colorado Spring, CO - 100% on-site in 1 of these 2 locations

Project Duration: 6+ months

Interview Process: 2x video Interview + coding exercise

Start Date: ASAP

Clerance Required: Top Secret ( must have SCI eligibility)

The Role

Data Pipeline Engineer ensure that our customers work with updated and accurate data in Foundry. You are the first to respond to data health failures on key pipelines. You are technical, with a passion for system support. You are comfortable reading code to identify fixes and making changes to improve the performance and stability of production data pipelines. Working alongside pipeline engineers from other customer accounts, your insights into the product and process will form an essential part of feedback to our product engineering team, and other user and product support teams.

What You'll Work On:

  • Develop and maintain Foundry pipelines using Pipeline Builder to ingest, transform, and integrate data.
  • Build modular applications and workflows leveraging TypeScript/javascript, Python, Java, C++ and Foundry AIP.
  • Collaborate with data engineers, analysts, and mission stakeholders to refine data models and ontology mapping.
  • Utilize code repositories such as Git to manage and version control development efforts.
  • Assist in Foundry workshops to guide stakeholders through platform capabilities.
  • Support testing, debugging, and performance tuning of Foundry applications.
  • Work in Agile development environments, contributing to sprint planning and retrospectives.
  • Create user-facing applications in support of mission needs
  • Support data integration efforts
  • Design UX and platform navigation improvements
  • Provide feedback to the Palantir engineering team about product

You Have:

  • 5+ years of experience of data engineering, including application or software development
  • 2+ years of experience with Palantir Foundry
  • Experience with Python or TypeScript
  • Experience with Pipeline Builder, AIP, and Foundry's application development ecosystem
  • Experience with Git-based code repositories and CI/CD workflows
  • Ability to work in fast-paced, Agile environments

Nice If You Have:

  • Experience working in mission-oriented analytics or logistics-based data environments
  • Experience with data modeling, ontology mapping, or data visualization within Foundry
  • Knowledge of DevSecOps best practices and software lifecycle methodologies
  • Possession of excellent problem-solving skills

Thanks,

Naveen Samilla

Momento USA | Exceeding Customer Expectations

440 Benigno Blvd, Unit#A 2nd Floor. Bellmawr, NJ 08031

Interstate Business Park

Tel : Direct : 856-422-3955 / (856) 456-1805 Ext 1016 ;Fax: (866) 605-1171

Email: Naveen@momentousa.com Web:

Minority Certified by SWAM
National Minority Certified by NMSDC

One of the fastest growing company in NJ
Awarded fastest growing Asian American business by Diversitybusiness.com
E-verified Company

Information transmitted by this e-mail is proprietary to Momento USA and/ or its Customers and is intended for use only by the individual or entity to which it is addressed, and may contain information that is privileged, confidential or exempt from disclosure under applicable law. If you are not the intended recipient or it appears that this mail has been forwarded to you without proper authority, you are notified that any use or dissemination of this information in any manner is strictly prohibited. In such cases, please notify us immediately at info@MomentoUSA.com and delete this mail from your records.

Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Job Tags

Hourly pay, Immediate start,

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