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# Senior Data Engineer_ Only W2_ Only USC

- **Company:** Ryzlink Corp.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $104,000.0 - $114,400.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, ArcGIS (Software), Big Data, Cloud Computing, Data as a Services, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Visualization, Data Warehousing, Distributed Systems, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Performance Tuning, Scrum Methodology, Power BI, Standard Sql, Scala (Programming Language), SQL Databases, Tableau (Software), Unstructured Data, Workflow Management Systems, Data Ingestion, Apache Spark, Qlikview, Apache Kafka, Data Management, Data Pipelines, Amazon Elastic Mapreduce (EMR), Databricks, Programming Languages
- **Published:** May 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d9ec75bd8400c66d

## About the Role

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

## Description

* 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


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