Data Engineering Software Developer

Leidos; United States; Remote; USD 108,000 - 195,000; Full time

Job summary

Leidos is building a new Agile development team in the Digital Sector to modernize federal IT infrastructure. The role focuses on designing, building, and maintaining scalable data systems and pipelines for analytics, with a TS/SCI clearance and DoD compliance.

You will work on Confluent Kafka, Elastic Stack, AWS, and OpenShift, delivering secure, high-performance data platforms for critical missions in a highly collaborative Agile environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Active TS/SCI clearance required for consideration.
• Hands-on design, build, and maintenance of data pipelines (ETL/ELT).
• Experience with data warehouses/lakes (Redshift/S3/Hadoop/Snowflake).
• Proficient in Python, Java, SQL, and shell scripting; strong data engineering skills.
• Familiarity with Elastic/Kafka for ingestion and processing; Kubernetes and CI/CD.

Responsibilities

• Designs, builds, and maintains scalable data systems and pipelines for analytics and reporting.
• Unifies data from multiple network operations sources into a secure, compliant platform.
• Implements pipelines with Confluent Kafka, Elastic Stack, AWS, and OpenShift; supports dashboards.
• Develops data warehouses/lakes and optimizes performance, scalability, and cost.
• Optimizes ingestion throughput, queries, indexing, and storage across Elastic and Kafka.
• Automates ETL/ELT tasks and supports CI/CD for automation in build/test/deploy.
• Collaborates with analysts and visualization engineers; documents architecture and procedures.
• Troubleshoots data ingestion, processing, and platform performance issues.

Skills

TS/SCI clearance

ETL/ELT pipelines

Python

Java

SQL

Shell scripting

Data pipelines design

CI/CD pipelines

Git

Confluent Kafka

Elastic Stack

Kubernetes

DoD/DISA RMF STIGs

React/JS/HTML

Data quality and security

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS Redshift

S3

Hadoop

Snowflake

Git

Bitbucket

JIRA

Confluence

Kubernetes

Elastic

Kafka

OpenShift

Job description

Description

Join Leidos' Digital Sector as we stand up a brand-new Agile development team at the forefront of federal IT modernization, delivering real digital transformation where it matters most. This is a rare ground‑floor opportunity to architect, build, and integrate cutting‑edge infrastructure solutions in support of some of our nation's most sensitive and critical missions.

What to expect:

• Early-stage flexibility with partial telework during initial development phases
• Full-time on-site presence at secure facility in Washington, DC will be required as the program matures
• A collaborative, Agile environment where your input shapes the architecture from day one
• Dev platform based on ServiceNow, Elastic, Kafka, AWS and RedHat

What you'll need:

• An active TS/SCI clearance (required for consideration)
• Willingness to complete and maintain additional customer suitability screenings throughout employment
• Current Security+ certification or higher/equivalent

Primary Responsibilities:

• Designs, builds, and maintains scalable, reliable data systems and pipelines to ingest, process, and transform large, complex, and disparate data sources for analytics and reporting.
• Unifies and integrates data from multiple network operations systems into a consistent, accessible platform, ensuring data quality, accuracy, security, and compliance with DoD and DISA requirements.
• Implements solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift (Kubernetes), including creating Kafka, Elastic, and Logstash pipelines and supporting Kibana visualizations and dashboards with React, JavaScript, and HTML.
• Develops and manages data warehouses and data lakes to support analytics, reporting, and operational dashboards, optimizing infrastructure for performance, scalability, and cost-effectiveness through automation and best practices.
• Continually analyze and optimize ingestion throughput, query performance, indexing strategies, and storage efficiency across Elastic and Kafka platforms.
• Automates data-related tasks such as ETL/ELT processes, data validation, cleansing, monitoring, and supports CI/CD pipelines for automated build, test, and deployment.
• Collaborates with data analysts, visualization engineers, and other stakeholders to deliver integrated, actionable data solutions, and documents data architecture, integration patterns, and operational procedures.
• Troubleshoots and resolves issues related to data ingestion, processing, and platform performance, storage, memory, partitioning, and cluster performance.

Basic Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related technical discipline and 8+ years of relevant experience.
• An active TS/SCI clearance
• Willingness to complete and maintain additional customer suitability screenings throughout employment
• Current Security+ certification or higher/equivalent
• Hands-on experience designing, building, and maintaining data pipelines (ETL/ELT) and integrating multiple, disparate data sources.
• Experience with data warehouse and/or data lake technologies (e.g., AWS Redshift, S3, Hadoop, Snowflake, or similar).
• Proficiency with data engineering tools and languages such as Python, Java, SQL, and shell scripting.
• Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) and/or Kafka for data ingestion and processing.
• Familiarity with network operations data (logs, metrics, events, ticketing, CMDB) and related data models.
• Experience with Linux/UNIX system administration and automation.
• Knowledge of data security, access controls, and compliance frameworks (DoD, DISA, RMF, STIGs).
• Experience with CI/CD pipelines, containerized pipelines, version control (Git, Bitbucket), and DevOps practices.
• Strong communication and documentation skills for collaboration and knowledge sharing.

Preferred Qualifications:

• Experience with DISA, DISN, or other DoD network environments, including developing and deploying software applications that meet DoD security standards (e.g., STIGs), and knowledge of network security, encryption, and access controls in classified environments.
• Experience with big data technologies and platforms such as Kafka, Spark, NiFi, Hadoop, Elasticsearch, Logstash, Databricks, and ELK Stack for text mining, summarization, search, and entity extraction.
• Experience with cloud-based data platforms (AWS, Azure, GCP, AWS GovCloud), cloud-integrated platforms, and infrastructure as code, including networking and security policies.
• Familiarity with Kubernetes deployment, platform upgrades, patching, configuration management tools (Ansible, Puppet, Chef), and monitoring, alerting, and observability tools (Prometheus, Grafana, Elastic).
• Experience with BI tools like Kibana and developing and maintaining technical documentation and runbooks.
• Strong understanding and practical experience with Agile methodologies (Scrum, SAFe), and related tools such as Atlassian JIRA and Confluence.
• Certified Confluent Developer and Certified Elastic Engineer.
• Excellent communication and collaboration skills, with experience working remotely with geographically dispersed teams and within a matrixed organization to combine software, integration, and data engineering practices.
• Apply knowledge of system architecture, networks, and centralized logging (ELK) to support data transformation initiatives.

Original Posting

September 23, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.