Data Engineer Software Developer

Leidos

Quick summary

Work type
On-site
Location
Scott AFB, IL
Salary
$87,100–$157,450 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $165k
This role $122k
$73k most similar roles pay here $219k

This role pays less than 82% of similar roles. Most pay $126,800–$203,650 — the shaded band above. At the midpoint, this role pays about $122k versus about $165k 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 245 open roles on FindRole.

Listed pay typically runs $107,900–$195,050 across 235 roles with salary data.

Most-posted roles

View all roles at Leidos

At a glance

TL;DR · Data Engineer Software Developer

Leidos Digital Modernization Group’s Real-Time Visibility (RTV) team seeks a Back-End Developer to design and build scalable data systems for the DISN network under the GSM-O II contract. This role involves integrating various data sources into Confluent Kafka and Elastic Stack platforms, ensuring data quality and compliance with DoD standards. The ideal candidate will work on large-scale, mission-critical projects, using technologies like AWS Redshift, S3, Hadoop, and Kubernetes to develop robust ETL processes and optimize infrastructure for performance and cost-effectiveness. Key responsibilities include automating data-related tasks, collaborating with stakeholders, and maintaining CI/CD pipelines. The position requires a Bachelor’s degree in Computer Science or related field plus 4+ years of experience, proficiency in Python, Java, SQL, and shell scripting, and familiarity with Elastic Stack and Kafka. Additional preferred skills include DISA network environment expertise, cloud-based data platforms knowledge, and Agile methodology understanding.

What you'll do

  • Designs and builds scalable data systems and pipelines to ingest, process, and transform complex data sources.
  • Integrates network operations data from various systems into a unified platform using Confluent Kafka and Elastic Stack.
  • Develops and optimizes data warehouses and lakes for analytics, ensuring performance, scalability, and cost-effectiveness.
  • Automates ETL/ELT processes and supports CI/CD pipelines for continuous integration and deployment of data solutions.
  • Troubleshoots issues related to data ingestion, processing, and platform performance across Elastic and Kafka environments.

What we're looking for

  • Bachelor’s degree in Computer Science or related field and 4+ years of relevant experience.
  • Hands-on experience with data pipelines (ETL/ELT) and integrating multiple, disparate data sources.
  • Proficiency with Elastic Stack (Elasticsearch, Logstash, Kibana) and Kafka for data ingestion and processing.
  • Experience with AWS Redshift, S3, Hadoop, or similar data warehouse/lake technologies.
  • Knowledge of data security, access controls, and compliance frameworks like DoD, DISA, RMF, STIGs.
  • Familiarity with CI/CD pipelines, containerized environments, and DevOps practices.

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