

AMISEQ
Senior Data Engineer (Palantir)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Palantir) on a contract basis, focusing on OEIS compliance reporting. Requires strong Python, PySpark, Spark SQL, and Palantir Foundry experience. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
April 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Oakland, CA
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🧠 - Skills detailed
#Spark SQL #Data Engineering #Data Pipeline #Data Lineage #Data Quality #"ETL (Extract #Transform #Load)" #Monitoring #Palantir Foundry #Spark (Apache Spark) #Compliance #Python #Datasets #PySpark #SQL (Structured Query Language)
Role description
This role supports OEIS compliance reporting by building auditable, Foundry native data pipelines and data checker frameworks. The engineer will be responsible for compliance transformations, validation logic, and traceable outputs that meet regulatory and audit requirements.
Core Responsibilities:
Design and maintain Palantir Foundry pipelines for OEIS compliance reporting Build and maintain data checker/validation frameworks within Foundry Develop PySpark and Spark SQL transformations for large scale datasets Implement compliance driven checks (completeness, consistency, reconciliation, exception flags) Ensure full data lineage, auditability, and reproducibility of compliance datasets Partner with compliance SMEs and stakeholders to validate logic and reporting outputs Support operational monitoring, issue triage, and data quality remediation Required Technical Skills
Required Skills:
Strong Python
PySpark / Spark SQL
Advanced SQL
Hands on experience with Palantir Foundry Experience building data validation, QA, or data quality frameworks Understanding of compliance, audit, or regulatory reporting requirements Preferred / Nice to Have
This role supports OEIS compliance reporting by building auditable, Foundry native data pipelines and data checker frameworks. The engineer will be responsible for compliance transformations, validation logic, and traceable outputs that meet regulatory and audit requirements.
Core Responsibilities:
Design and maintain Palantir Foundry pipelines for OEIS compliance reporting Build and maintain data checker/validation frameworks within Foundry Develop PySpark and Spark SQL transformations for large scale datasets Implement compliance driven checks (completeness, consistency, reconciliation, exception flags) Ensure full data lineage, auditability, and reproducibility of compliance datasets Partner with compliance SMEs and stakeholders to validate logic and reporting outputs Support operational monitoring, issue triage, and data quality remediation Required Technical Skills
Required Skills:
Strong Python
PySpark / Spark SQL
Advanced SQL
Hands on experience with Palantir Foundry Experience building data validation, QA, or data quality frameworks Understanding of compliance, audit, or regulatory reporting requirements Preferred / Nice to Have






