À propos
Ignite is currently seeking a driven, detail-oriented Software Developer/Data Engineer to join our team of Employee Owners supporting the Missile & Space Intelligence Center in Huntsville, AL. This position is expected to be on‑site with some hybrid opportunities.
This position designs, implements, and operates data management systems for intelligence needs. Designs how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems. Works with data users to determine, create, and populate optimal data architectures, structures, and systems. Plans, designs, and optimizes data throughput and query performance. Participates in the selection of backend database technologies (e.g. SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness.
Responsibilities
Maintains and extends existing data centralization and automation software.
Possesses proven work experience or formal training as a Data Engineer, Machine Learning Engineer, or similar role.
Uses Python to read, create, and modify relational and graph databases.
Uses Python to provide REST API services for databases.
Uses GIT for software version control.
Familiarity with Agile development methodologies.
Familiarity with the full software development life cycle (SDLC).
Complies with industry standards and best practices.
Provides expertise in Apache Airflow.
Uses Apache Airflow to design and implement data pipelines for extract, transform, and load operations.
Uses Apache Airflow to design and implement pipelines for task automation.
Uses Python and Apache Airflow to develop production machine learning pipelines from existing prototype models.
Works with data scientists and algorithm developers to design and implement software applications pertaining to data and ML pipelines.
Provides expertise in Linux OS and Docker.
Uses Linux OS as primary development environment.
Uses Docker to containerize existing software applications.
Provides expertise in databases and database design, including both SQL, NoSQL, and ORMs.
Provides expertise in developing data models for various data modalities.
Creates technical documentation, flow charts, and specifications for reference, reporting, and security.
Collaborates with MSIC personnel and shares leading practices and lessons learned in formal training events.
Collaborates with other contractor teams supporting each division across MSIC who will operate as domain‑specific mission owners and develop and maintain domain‑specific data processing and analytic tools integrated into automated workflows.
Desired Experience
Design and implement data pipelines.
Proficiency with tools such as Apache Airflow, Linux OS, Docker, SQL, NoSQL, ORMs, graph databases, and GIT.
Security Clearance Requirements
Must have an active Top Secret Security Clearance and the ability to obtain TS/SCI with CI Polygraph.
Must be a US citizen and able to hold an active Top Secret Security Clearance with SCI and CI Polygraph.
Other Requirements
2+ years’ experience in data engineering, data science, software engineering, or machine learning engineering.
Equal Employment Opportunity Statement We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.
#J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.