Senior Data Engineer_ Only W2_ Only USC

• Design, build, and maintain scalable ETL/ELT pipelines for enterprise analytics platforms
• Develop robust data ingestion, transformation, and orchestration workflows
• Integrate structured and unstructured data from multiple data sources
• Build optimized data models for reporting, analytics, and operational intelligence
• Develop and maintain data applications using Python, SQL, Scala, or R
• Work with distributed computing and big data technologies such as Spark and Hadoop ecosystems
• Implement data quality, governance, monitoring, and performance optimization strategies
• Collaborate with cross-functional teams including:
• Data Scientists
• Analysts
• Software Engineers
• Business Stakeholders
• Support cloud-based and large-scale data processing environments
• Participate in Agile ceremonies, sprint planning, and technical design discussions
• Create documentation, deployment procedures, and operational support materials
• Support secure and compliant handling of sensitive government or defense-related data

Do you have experience in Spark?, Technical Skills

Strong hands-on experience with:

Programming Languages

• Python
• SQL
• Scala
• R

Big Data & Distributed Systems

• Apache Spark
• Hadoop
• Hive
• Kafka
• Databricks
• AWS EMR

Data Engineering Concepts

• ETL / ELT Pipelines
• Data Modeling
• Workflow Orchestration
• Data Warehousing
• Data Transformation
• Data Governance
• Data Quality & Monitoring

Cloud & Analytics Platforms

• AWS-based data services
• Enterprise analytics environments

Preferred / Nice-to-Have Skills

• Experience with Palantir Foundry
• Experience with visualization tools:
• Tableau
• Power BI
• Qlik
• ArcGIS
• Geospatial analytics experience
• Experience supporting DoD or Combatant Command environments
• Agile/Scrum development experience
• Exposure to machine learning or AI-driven data platforms

$50 - $55 an hour - Contract