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# Data Engineer

- **Company:** Disruptive Solutions
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Salary:** $140,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Amazon S3, Unix, Collaborative Software, Databases, Data Dictionary, Information Engineering, Data Governance, Data Infrastructure, Data Stores, Linux, DevOps, Distributed Computing Environment, Amazon DynamoDB, Elasticsearch, Push Technology, Python (Programming Language), PostgreSQL, MongoDB, Object-Oriented Software Development, Redis, Standard Sql, Scripting, Cloud Platform System, AWS Lambda, Atlassian Tools, 3-tier Architectures, Data Pipelines, Amazon Redshift
- **Published:** June 8, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8962295/data-engineer

## About the Role

* Active Top-Secret/SCI clearance
 * Bachelor's degree or equivalent experience
 * 4+ years of data engineering experience
 * Experience with distributed computing frameworks and cloud environments
 * Proficiency in Python, AWS Lambda, and data stores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch, SQL
 * Knowledge of Linux/Unix environments and Agile development
 * Experience with collaboration tools such as Jira and Confluence, * Master's degree or equivalent experience
 * Knowledge of cloud message APIs, push notifications, and DevOps environments
 * Familiarity with object-oriented programming, scripting, and databases

## Description

The Data Engineer interprets business needs, develops data pipelines, supports data infrastructure, collaborates with teams, and provides Tier 3 technical support, with a focus on AWS cloud services and data governance., * Identify, design, and implement process improvements and infrastructure redesigns for scalability

 * Develop and maintain data pipelines and artifacts such as schemas and data dictionaries
 * Integrate data pipelines with AWS cloud services to extract insights
 * Support stakeholders' data infrastructure needs and troubleshoot technical issues
 * Provide Tier 3 support for deployed applications and dataflows


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