2 months ago
Base Salary
$108k - $195k/yr
Responsibilities
- Design, build, and maintain scalable data systems and ETL/ELT pipelines for complex and disparate data sources.
- Integrate network operations data into accessible platforms while ensuring data quality, security, and compliance with DoD and DISA requirements.
- Implement and support Confluent Kafka, Elastic Stack, AWS, Red Hat OpenShift, Kubernetes, Logstash, and Kibana solutions.
- Develop and manage data warehouses and data lakes for analytics, reporting, and operational dashboards.
- Optimize ingestion throughput, query performance, indexing, storage efficiency, and cluster performance across Elastic and Kafka platforms.
- Automate data validation, cleansing, monitoring, build, testing, and deployment activities.
- Collaborate with analysts, visualization engineers, and stakeholders; document data architecture, integration patterns, and operating procedures.
- Troubleshoot data ingestion, processing, storage, memory, partitioning, and platform-performance issues.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- 8+ years of relevant experience designing, building, and maintaining data pipelines and integrating disparate data sources.
- Active TS/SCI clearance and willingness to complete and maintain additional customer suitability screenings.
- Current Security+ certification or higher/equivalent.
- Hands-on proficiency with Python, Java, SQL, shell scripting, data warehouses or lakes, Elastic Stack, Kafka, Linux/UNIX administration, automation, CI/CD, containers, and version control.
- Knowledge of network operations data, data security, access controls, DoD/DISA compliance frameworks, RMF, and STIGs.
- Preferred experience with DISA, DISN, DoD environments, classified systems, big-data platforms, cloud data platforms, infrastructure as code, Kubernetes, configuration management, monitoring, observability, BI tools, and technical documentation.
- Preferred experience with Spark, NiFi, Hadoop, Databricks, AWS GovCloud, Azure, GCP, Ansible, Puppet, Chef, Prometheus, Grafana, JIRA, and Confluence.
- Certified Confluent Developer or Certified Elastic Engineer credentials are preferred.
- Strong communication, collaboration, documentation, and experience working with geographically distributed or matrixed teams.
Benefits
- Partial telework is available during initial development phases, with full-time on-site work at a secure Washington, DC facility required as the program matures.
- Full-time role on a new Agile development team supporting federal IT modernization.
- Pay range is $107,900.00-$195,050.00.
Tech Stack
Amazon RedshiftAnsibleApache HadoopApache KafkaApache SparkAWSAzureChefDatabricksElasticsearchGitGoogle Cloud PlatformGrafanaHTMLJavaJavaScriptKibanaKubernetesLinuxLogstashOpenShiftPrometheusPuppetPythonReactSnowflakeSQL
Categories
Data Engineering
About Leidos
Leidos builds and operates technology and engineering solutions for defense, intelligence, civil, and health agencies, including systems integration, cyber, enterprise IT, sensors, and healthcare IT. It primarily sells through government contracts and long-term programs, plus managed services and mission software. Founded in 1969 and headquartered in Reston, Virginia, Leidos is a Fortune 500 public company on the NYSE; customers include U.S. defense and intelligence agencies and civil bodies such as the FAA.