Job Description
Description
Hybrid onsite at Reston, VA or Houston, TX. A basic relocation package is offered for resources joining as full time. Open to W2 hourly but no C2C or Corp2Corp entertained.
Palantir Foundry Engineer operates at the intersection of advanced data engineering and real world business execution, embedded with operational teams to uncover gaps, translate ambiguous needs into clear technical plans, and deliver production grade solutions that measurably improve throughput, reliability, and efficiency. This is not a back office engineering role but a front line position working with stakeholders in operations, supply chain, finance, customer success, or project delivery to understand how work happens and why bottlenecks occur.
Major Responsibilities include designing and implementing end to end data products that connect disparate systems such as ERP, MES, CRM, ticketing tools, IoT telemetry, logistics platforms, and third party APIs into governed, trusted datasets and real time event streams. Build scalable pipelines. Embed with business teams to identify operational pain points, define success metrics, and prioritize use cases. Design and build scalable batch and streaming pipelines from ingestion to transformation to consumption. Comfortable with operational performance and increased business confidence in data.
A hands on builder shipping production quality solutions. A business first problem solver who seeks root causes, quantifies impact, and designs solutions tied to outcomes. Comfortable with changing requirements and able to turn unclear inputs into actionable roadmaps while iterating quickly. A trusted partner who communicates clearly with both technical and non technical stakeholders.
Preferred qualifications include experience with platforms such as Palantir Foundry, Databricks, Snowflake, or comparable enterprise data platforms, orchestration tools such as Airflow, Azure Data Factory, or Prefect, and data quality frameworks. Exposure to AI enabled operational workflows including retrieval augmented generation, large language model applications, recommendations, and anomaly detection in governed settings. Prior customer facing or embedded role experience such as solutions engineering, consulting, or forward deployed engagements.
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Palantir Foundry Engineer operates at the intersection of advanced data engineering and real world business execution, embedded with operational teams to uncover gaps, translate ambiguous needs into clear technical plans, and deliver production grade solutions that measurably improve throughput, reliability, and efficiency. This is not a back office engineering role but a front line position working with stakeholders in operations, supply chain, finance, customer success, or project delivery to understand how work happens and why bottlenecks occur.
Major Responsibilities include designing and implementing end to end data products that connect disparate systems such as ERP, MES, CRM, ticketing tools, IoT telemetry, logistics platforms, and third party APIs into governed, trusted datasets and real time event streams. Build scalable pipelines. Embed with business teams to identify operational pain points, define success metrics, and prioritize use cases. Design and build scalable batch and streaming pipelines from ingestion to transformation to consumption. Comfortable with operational performance and increased business confidence in data.
A hands on builder shipping production quality solutions. A business first problem solver who seeks root causes, quantifies impact, and designs solutions tied to outcomes. Comfortable with changing requirements and able to turn unclear inputs into actionable roadmaps while iterating quickly. A trusted partner who communicates clearly with both technical and non technical stakeholders.
Preferred qualifications include experience with platforms such as Palantir Foundry, Databricks, Snowflake, or comparable enterprise data platforms, orchestration tools such as Airflow, Azure Data Factory, or Prefect, and data quality frameworks. Exposure to AI enabled operational workflows including retrieval augmented generation, large language model applications, recommendations, and anomaly detection in governed settings. Prior customer facing or embedded role experience such as solutions engineering, consulting, or forward deployed engagements.
#J-18808-Ljbffr