Full-Stack Application Engineer

Sierra Nevada Corporation•Lone Tree, CO

11d•Hybrid

About The Position

Do you have an eye for detail and a passion for developing innovation solutions? Join our team! As a Full-Stack Application Engineer, you will manage the design, implementation, and maintenance of sophisticated BI solutions. You will work closely with stakeholders to ensure BI systems meet business needs and provide actionable insights. Additionally, you will mentor junior and mid-level developers and drive the adoption of best practices for BI development. The Mission Solutions and Technologies (MST) business area provides affordable, turn-key command/control, communications, integrated ISR, force protection and security solutions worldwide. The MST team has a long legacy of supporting the Department of Defense, Department of Homeland Security, commercial and international customers with years of experience in platform operations, engineering and full lifecycle management across domains – air, land, sea, space and cyber.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
5+ years of experience in Business Intelligence, Data Analytics, or a related role.
Higher level relevant degree may substitute for experience.
Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 9 years of related experience is required.
Advanced proficiency in BI tools (e.g., Tableau, Power BI).
Strong SQL skills and experience with complex queries and relational databases.
Extensive experience with extraction, transformation, and loading (ETL) processes and data integration.
Understanding of Business Intelligence / Data Warehousing concepts with knowledge of ETL and Reporting tools.
Advanced experience with reporting tools (Power BI).
Solid SQL skills.
Ability to work on a computer for extended periods.
Frequent communication with team members and stakeholders.
Ability to work in an office or hybrid environment.
Must be able to lift up to 10 lbs occasionally.
This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance.

Nice To Haves

Master’s degree in a related field.
Experience in the Aerospace and Defense industry.
Certification in BI tools or data analytics.
Knowledge of cloud data platforms (e.g., AWS, Azure).
Experience with Business Intelligence tools (one or more of the following: Power BI, Tableau, Cognos, qlikview, TIBCO Spotfire, SAP Business Objects, SAP Crystal Reports).
Skills in other MS SQL Server technologies – SSIS, SSAS, Stored Procedures.
Data profiling skills.
Knowledge of multiple development methodologies, preferably Agile.
Strong data analysis and problem‑solving skills
Solid understanding of modern data architecture concepts
Proficiency in report building
Proficiency in SQL, Python, Typescript & React/JavaScript
Experience with ETL/ELT processes and data engineering best practices
Ability to collaborate with cross‑functional teams and communicate complex concepts clearly
Experience with cloud data platforms
Background in data modeling or BI semantic layer design
Occasional travel may be required.

Responsibilities

Design, build, and maintain Front-End Applications, data pipelines and workflows in various tools (such as Palantir, AI platforms)
Develop and manage semantic layers, code repositories, and data transforms/displays
Perform data analysis to understand data sources, flows and timing
Design, build and maintain reports, dashboards, and semantic models
Partner with business stakeholders to translate requirements into actionable data products
Apply foundational data architecture principles, including models, lineage, governance, and optimization
Contribute to best practices for version control, testing, and CI/CD within the data ecosystem
Troubleshoot data issues and ensure data quality, reliability, and consistency across systems
Develop and maintain reports and dashboards using BI tools (e.g., Power BI, Tableau) to provide actionable insights to stakeholders, supporting data-driven decision-making.