Data Engineer - MLOps | Remote in the USA – 1725

Location: Hybrid - Onsite 4 days a week in Dallas, TX
Employment Type 6-12+ months contract w/possible extensions
Interview: In-Person interview is required for this role.
Residency Requirements: Those authorized to work in the US are encouraged to apply.

Required Qualifications

5+ years of software development experience building and delivering customer facing cloud-based analytic solutions.
5+ years of end-to-end application development experience on Palantir foundry or similar systems, leveraging tools such as Workshop, Code Repositories, Pipeline Builder, Ontology objects/actions and Typescript functions Foundry applications or similar systems to meet business requirements and objectives.
5+ years of experience collaborating with cross-functional teams including data analysts, engineers, and business stakeholders to gather requirements and define project scope.
5+ years coding in Python/PySpark, SQL, and LLM modeling.
5+ years in cloud-based platforms such as Azure, GCP and AWS.

Preferred Qualifications

5+ years of experience leading the design, development, and deployment of applications on Palantir Foundry Platform
Retail merchandising domain expertise including category management, assortment optimization, product clustering, product price sensitivity and promotion affinity evaluation, store clustering and localization.
Experience with Prompt Engineering developing solutions leveraging LLM models.

Responsibilities include:

You will drive revenue and customer satisfaction in the company’s business using advanced analytic solutions to optimizing merchandising and pricing decisions.
You will solve complex problems and deliver decision support tools to improve customer experience.
Collaborate with business stakeholders to understand business needs and convert them into requirements for solution enhancements or ad hoc analyses.
Help guide the overall roadmap for enterprise optimal pricing solutions that deploy complex data science models through interactive user interfaces.
Work with teams of data scientists, analysts, data engineers, and developers to execute both solution upgrades and analyses.
Architect scalable and efficient data pipelines to ingest, transform, and analyze large volumes of structured and unstructured data within Palantir Foundry.
Ensure compliance with best practices, security standards, and data governance policies throughout the development lifecycle.
Provide technical guidance, mentorship, and support to junior developers and team members.
Proactively identify opportunities for process improvements and optimization within Palantir Foundry ecosystem.