Data Engineer Software Developer

Leidos

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Scott, IL
Salary
$87,100–$157,450 / yr
Posted
24 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $122k
$72k most similar roles pay here $226k

This role pays less than 82% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $122k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations.

Leidos currently has 264 open roles on FindRole.

Listed pay typically runs $92,300–$166,850 across 245 roles with salary data.

Most-posted roles

View all roles at Leidos

At a glance

TL;DR · Data Engineer Software Developer

Data Engineer Software Developer The Data Engineer Software Developer joins the Real-Time Visibility team within the Global Automations & Intelligent Network Solutions group to build and maintain infrastructure for processing large volumes of network operations data. This role involves designing, building, and maintaining scalable data pipelines to ingest and transform disparate sources like logs, performance metrics, and ticketing systems into a unified platform. You will develop ETL/ELT solutions, manage data warehouses, and create Kibana dashboards while adhering to CI/CD processes and data governance. The technical stack includes Confluent Kafka, Elastic Stack (Elasticsearch, Logstash, Kibana), AWS, Red Hat OpenShift, Python, Java, SQL, and shell scripting. You will solve the challenge of providing a single-pane-of-glass interface for network operations by integrating complex data into a performant system that ensures reliability and security for mission-critical DISN network environments.

What you'll do

  • Design and build scalable data pipelines to ingest, process, and transform large volumes of disparate network operations data.
  • Integrate multiple data sources into Confluent Kafka and Elastic Stack platforms to ensure a unified user experience.
  • Develop and manage data warehouses and lakes to support analytics, reporting, and operational dashboards.
  • Optimize ingestion throughput, query performance, indexing strategies, and storage efficiency across Elastic and Kafka platforms.
  • Automate ETL/ELT processes, data validation, cleansing, and monitoring tasks within CI/CD pipelines.
  • Create Kibana visualizations and dashboards using React, JavaScript, and HTML to provide a single-pane-of-glass interface.
  • Perform requirements analysis and develop mockups or wireframes based on input from operational end users.
  • Troubleshoot and resolve issues related to data processing, platform performance, and cluster management.

What we're looking for

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • 4+ years of experience designing and maintaining data pipelines (ETL/ELT) and integrating disparate data sources.
  • Proficiency in Python, Java, SQL, and shell scripting for data engineering tasks.
  • Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) and Kafka for data ingestion and processing.
  • Experience with Linux/UNIX system administration, automation, and CI/CD pipelines using Git or Bitbucket.
  • Knowledge of data security, access controls, and compliance frameworks such as DoD, DISA, RMF, and STIGs.
  • Ability to obtain a Secret DoD Security clearance before the start date.
  • Ability to obtain Security+ certification (or equivalent DoD 8570 IAT II) within 14 days of starting employment.

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