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# ETL Developer

- **Company:** RCT Systems
- **Location:** Herndon, VA, United States
- **Experience:** Expert
- **Salary:** $190,000.0 - $211,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Computer Vision, Bash Shell, Big Data, Cloud Computing, Apache Lucene, Information Systems, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, Elasticsearch, Apache Hadoop, Python (Programming Language), Linux System Administration, NoSQL, Object-Oriented Software Development, Windows PowerShell, Query Optimization, Standard Sql, Cloudera, Search Technologies, Apache Solr, SQL Server Integration Services, Talend, Cloud Platform System, Azure Data Factory, Apache Spark, Git, Information Technology, AWS Glue, Data Pipelines, Devsecops, Docker, Databricks
- **Published:** July 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=89747e956e2b1d5a

## About the Role

+ Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.

 + 6-8 years of:
*

 + Linux administration and large-scale data processing.
 + Object-oriented programming (Python preferred).
 + AWS or C2S cloud environments (other cloud platforms considered with sufficient experience).
 + AWS services including EC2.

 + 4-6 years of ETL experience with large datasets using tools such as:
*

 + Informatica
 + Talend
 + SSIS
 + AWS Glue
 + Azure Data Factory

 + Strong SQL and query optimization skills.

 + Experience with:
 * Data warehousing and data modeling
 * Python, Bash, or PowerShell scripting
 * Relational and NoSQL databases
 * Git version control

Preferred Qualifications

 + Big data technologies (Spark, Hadoop, Databricks).

 + NLP and transformer models (e.g., BERT).

 + Search technologies (Elasticsearch, Solr, Lucene).

 + Document exploitation, e-discovery, and multi-modal analytics (OCR/image recognition).

 + Docker, CI/CD, DevSecOps pipelines.

 + Cloudera or similar big data certifications.

 + Experience with anomaly detection, predictive analytics, or risk scoring.

## Description

+ Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured datasets (GB-TB scale).


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