Full Stack Engineer (Databricks Experience)

    • Infinitive Inc
  • Ashburn, VA
  • Posted 16 days ago | Updated 5 hours ago

Overview

On Site
Full Time

Skills

Employment authorization
Artificial intelligence
Partnership
Return on investment
Accountability
Adaptability
Software troubleshooting
Emerging technologies
Web applications
Machine Learning (ML)
Application development
Collaboration
Software development
Scalability
Debugging
Computer science
Software engineering
HTML
Cascading style sheets
JavaScript
AngularJS
Java
Spring Framework
Hibernate
RESTful
Database
Microservices
Backend development
Python
Databricks
Data engineering
Analytics
Apache Spark
Docker
Kubernetes
Version control
Git
Problem solving
Communication
DevOps
Continuous integration
Continuous delivery
Backend testing
Agile
Scrum

Job Details

Job Description

Job Description

*Candidates must be local to the Washington D.C. metro area and must possess work authorization which does not require sponsorship by the employer for a visa.

About Infinitive:

Infinitive is a data and AI consultancy that helps clients modernize, monetize, and operationalize their data to generate lasting value. They pride themselves on their deep industry and technology expertise, ensuring that they drive and sustain the adoption of new capabilities. Infinitive is committed to aligning their team with their clients' culture, ensuring a successful partnership by bringing the right mix of talent and skills for high return on investment.

Infinitive has earned recognition as one of the "Best Small Firms to Work For" by Consulting Magazine, receiving this accolade seven times, most recently in 2024. They have also been honored as a Top Workplace by the Washington Post, Best Places to Work by the Washington Business Journal, and Best Places to Work by Virginia Business.


About the Role:

Infinitive is seeking a Full Stack Engineer who is accountable, passionate, proactive, and adaptable. This role requires expertise in Angular, Java, microservices, Python, and Databricks. The position involves designing, developing, and maintaining scalable web applications while leveraging Databricks for data engineering and analytics tasks. The Full Stack Engineer will collaborate with cross-functional teams, participate in the entire software development lifecycle, and write clean, efficient, and reusable code. The role also involves optimizing applications, troubleshooting issues, and staying updated on emerging technologies.

Key Responsibilities:
  • Design and maintain web applications using Angular, Java, microservices, Python, and Databricks.
  • Leverage Databricks for data engineering, analytics, and machine learning tasks within application development.
  • Collaborate with product managers, designers, and developers to deliver high-quality solutions.
  • Engage in the full software development lifecycle, from design to deployment.
  • Perform code reviews and provide constructive feedback.
  • Optimize application performance, scalability, and security.
  • Troubleshoot and debug in both production and non-production environments.
Required Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
  • Proven experience as a Full Stack Developer with expertise in Angular, Java, microservices, Python, and Databricks.
  • Strong understanding of frontend technologies (HTML, CSS, JavaScript) and modern frameworks (Angular 2+).
  • Proficiency in Java, Spring Boot, Hibernate, and experience with RESTful APIs and databases.
  • Solid understanding of microservices architecture and backend development using Python.
  • Experience with Databricks for data engineering and analytics, including familiarity with Spark, Delta Lake, and MLflow.
  • Familiarity with Docker, Kubernetes, and version control systems like Git.
  • Strong problem-solving skills and excellent communication abilities.
Desired Qualifications:
  • Knowledge of DevOps practices and CI/CD pipelines.
  • Familiarity with frontend and backend testing frameworks.
  • Understanding of Agile/Scrum methodologies.

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