Jobs · Analyst · Virginia

Senior Data Engineer

The Swift Group, LLC · Reston, VA · 3 wk ago
On-siteAnalyst$50k–$290k/yrFull-time

Responsibilities

  • Design, build, and maintain scalable, cloud-based data pipelines and supporting infrastructure
  • Collaborate with internal teams and external partners to broker and exchange data through APIs, S3, and other secure interfaces
  • Operationalize data pipelines leveraging Python-native and AWS-native tools for ingestion, transformation, and delivery
  • Provide day-to-day operational support, including Tier 2/3 troubleshooting and incident response for production data pipelines
  • Automate deployment and monitoring processes using Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or Ansible
  • Implement data security and compliance controls aligned with RMF principles across multiple classification domains
  • Participate in Agile development activities and contribute to continuous improvement of data engineering workflows
  • Stay informed on emerging data engineering technologies and best practices to drive innovation within the team

Requirements

  • US citizenship with an active TS/SCI with CI Polygraph required
  • 4+ years of hands-on experience in data engineering, data pipeline development, or cloud data systems
  • Proficiency in designing and deploying data pipelines leveraging AWS services across multiple classification domains (e.g., IL5 to IL6+)
  • Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or Ansible
  • Understanding of RMF security principles and experience implementing security controls for cloud data systems
  • Strong programming and scripting skills in Go, Python, and Bash
  • Experience with data pipeline tools and platforms such as NiFi, Hadoop, HDFS, Kafka, or Cloudera Data Platform
  • Proficiency with Linux environments and troubleshooting distributed data systems
  • Excellent communication skills and ability to collaborate effectively with cross-functional teams

Desired Experience

  • Experience working with data lake and big data technologies such as Spark, Accumulo, or Elasticsearch
  • Experience automating data delivery workflows and monitoring systems for high availability
  • Familiarity with Agile methodologies and collaboration tools like Jira and Confluence

Benefits

Comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.

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