Elastic Data Solutions Engineer (TS/SCI) at Maxar Technologies

Herndon, Virginia, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

NoVisa

Geospatial, IntelligenceIndustries

Requirements

US citizenship and an active TS/SCI clearance (mandatory; willing to obtain CI Poly)
Degree in a technical field such as Computer Science, Engineering, Math, GIS (or equivalent demonstrated experience of 4+ years)
Minimum 4+ years of demonstrated technical experience in integrating and developing custom solutions for the intelligence analyst community
4+ years of experience performing data extraction, manipulation, and visualization with proficiency in Java, Python, R, and/or other similar languages
Willingness to work onsite 80% or as needs dictate (full-time onsite in Herndon, VA or Westminster, CO; no hybrid/remote)

Responsibilities

Design and build innovative discovery and automation tools with Elastic and other technology to empower geospatial and intelligence analysts to tackle complex, real-world challenges using diverse data types and sources
Design and implement Elastic Stack solutions (Elasticsearch, Logstash, Kibana, Beats) to support search, analytics, observability, and security needs
Develop efficient queries and indexing strategies, optimize performance, and manage large-scale data pipelines
Automate data workflows using scripting languages like Python or Bash; develop custom Elastic extensions when needed
Collaborate with users and cross-functional teams to gather requirements and deliver tailored solutions

Skills

Key technologies and capabilities for this role

ElasticsearchLogstashKibanaBeatsPythonBashElastic StackData PipelinesGISIndexingQuery Optimization

Questions & Answers

Common questions about this position

What is the location and work arrangement for this position?

The position is located in Herndon, VA or Westminster, CO and is full-time onsite with no hybrid or remote work supported. Candidates must be willing to work onsite 80% or as needs dictate.

What are the required skills and experience for this role?

Candidates need US citizenship with active TS/SCI clearance (willing to obtain CI Poly), a technical degree or 4+ years equivalent experience, 4+ years in custom solutions for intelligence analysts, and proficiency in Java, Python, R or similar for data extraction, manipulation, and visualization. Experience with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) is essential.

What is the salary range for this position?

This information is not specified in the job description.

What is the team environment like at Maxar for this role?

You'll work as part of a dynamic, multi-disciplinary software team, collaborating with users and cross-functional teams, including a geographically distributed ops and development team.

What makes a strong candidate for this Elastic Data Solutions Engineer role?

Strong candidates have an active TS/SCI clearance, 4+ years of experience with intelligence community solutions and data handling in languages like Python or Java, plus desired skills like an adaptable mindset, experience with open-source in government environments, and background as a military/intelligence analyst.

Maxar Technologies

Earth intelligence and space infrastructure solutions

About Maxar Technologies

Maxar Technologies specializes in Earth intelligence and space infrastructure, providing essential solutions for both government and commercial clients. The company offers services that help clients monitor and understand changes on our planet, including global broadband communications and advanced capabilities for space exploration. Maxar utilizes its extensive experience and commercial technology to deliver solutions that are fast, scalable, and cost-effective. Unlike many competitors, Maxar focuses on delivering precise and reliable data that supports informed decision-making and strategic planning. The company's goal is to generate value through contracts and partnerships, ensuring clients have the information they need to navigate complex global challenges.

Richmond Hill, CanadaHeadquarters

1957Year Founded

$58.1MTotal Funding

IPOCompany Stage

Data & Analytics, Government & Public Sector, AerospaceIndustries

1,001-5,000Employees