Job Description:

Full Stack Engineer with focus on back end API developer- Strong SQL

As a Fullstack Engineer, you will help build end-to-end Data-to-Decision systems, working closely with Data Scientists, Data Engineers, Product Owners, and UX specialists.

You will design backend services, build intuitive UI experiences, and contribute to highly scalable, production-ready systems.

Key Responsibilities

• Design, develop, and maintain frontend and backend components across multiple enterprise-grade platforms.
• Integrate machine learning and analytics outputs from backend REST APIs into responsive UI workflows.
• Build dynamic dashboards, data visualizations, and interactive UI components for business stakeholders.
• Participate in UAT, debug cross-system issues, and resolve performance bottlenecks.
• Diagnose and troubleshoot bugs, API failures, and application integration issues.
• Develop documentation for APIs, application workflows, and system integrations.
• Collaborate with DS/DE teams on data pipelines where needed, especially involving PySpark data processing.

Required Qualifications & Experience:

Experience

• 3-6 years of hands-on experience building and deploying fullstack applications at enterprise scale.

Technical Skills:

Backend Proficiency

• Expert-level proficiency in Python (3.4+)
• Strong experience with at least one backend stack:
  Python / Node.js / Java / Ruby / PHP / .NET
• Designing, building, and consuming REST APIs.
• Experience with PySpark for:
  • Distributed data processing
  • Transformations and ETL workflows
  • Integration with analytics pipelines
  • Optimizing Spark jobs and performance tuning
• Familiarity with CI/CD pipelines, particularly in Azure Cloud environments.
• Python and/or Java application development
• API development (REST, HTTP, JSON, authentication patterns)
• Advanced SQL (complex queries, DDL, data modeling, performance tuning)
• Microsoft Azure:
  • Functions
  • Synapse
  • Data Factory
  • Azure DevOps
• CI/CD and Git
• .NET experience (preferred)

Nice-to-Have Skills:

• Snowflake or Databricks
• Data quality and validation frameworks
• PySpark and distributed data processing

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $110,000 to $130,000 Yearly. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plan in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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