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Data Engineer - MLOps | Remote in the USA – 1725
Dallas, TXData 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
Preferred Qualifications
Responsibilities include:
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.