Software Engineer 1, Data Platform (Remote - US)

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  • Company Jobgether
  • Employment Full-time
  • Location 🇺🇸 United States nationwide
  • Submitted Posted 14 hours ago - Updated 9 hours ago

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software Engineer I, Data Platform in the United States.

In this role, you will be part of a high-performing engineering team responsible for building the scalable, secure, and data-intensive infrastructure that powers advanced AI-driven cloud products. You will contribute to the design, development, and optimization of large-scale data systems, supporting real-time processing, analytics, and automation. Working alongside experienced engineers, you’ll help build tools that simplify data operations and improve reliability, performance, and scalability—while gaining hands-on experience in distributed systems and cloud computing. This is a unique opportunity to grow your technical expertise in an environment that values curiosity, innovation, and collaboration.

Accountabilities

  • Contribute to the design, development, and operation of the core components of the company’s data platform.
  • Build and enhance tools and services that help other teams integrate and scale data systems efficiently.
  • Automate infrastructure, operations, and deployment processes to improve system performance and reliability.
  • Apply generative AI techniques to enhance developer and operator workflows.
  • Collaborate cross-functionally to resolve scalability and reliability challenges in large-scale data systems.
  • Take ownership of projects, delivering high-quality features and improvements with mentorship from senior engineers.

Requirements

  • 1+ years of professional experience in software engineering, ideally with exposure to backend, distributed systems, or infrastructure.
  • Proficiency in Python, Go, or similar programming languages, with solid understanding of software engineering fundamentals (data structures, testing, debugging, clean code).
  • Eagerness to learn about modern data technologies such as PostgreSQL, Redis, Kafka, Spark, Airflow, or DBT.
  • Interest in cloud platforms like AWS, Databricks, GCP, or Azure.
  • Strong problem-solving skills, curiosity, and a proactive mindset toward learning and ownership.
  • Excellent communication skills and the ability to work collaboratively in a team-driven environment.
  • (Nice to have) Familiarity with large-scale data processing, orchestration tools, or distributed databases.

Benefits

  • Competitive salary with performance-based growth opportunities.
  • Fully remote or flexible hybrid work options within the U.S.
  • Comprehensive health, dental, and vision insurance coverage.
  • Generous paid time off and parental leave policies.
  • Continuous learning and mentorship from experienced engineers.
  • Opportunities for ownership and rapid professional development in a fast-growing AI-driven company.
  • Inclusive, collaborative, and innovation-focused work culture.


Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
đź§  When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

 

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