Solutions Engineer(Python/Airflow) [Remote]

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Solutions Engineer (Python/Airflow) in the United States. This is a highly versatile, hands-on engineering role focused on building and integrating modern data-driven applications across web, backend, and cloud environments. You will work across the full stack, combining product engineering, data pipeline development, and infrastructure ownership in a fast-moving technical environment. The role centers on designing and delivering scalable solutions using Python, Airflow, and cloud-native tools to support both end-user applications and backend automation. You will collaborate closely with engineering teams to build APIs, optimize data workflows, and enhance system performance at scale. A key part of the role involves developing and maintaining robust data pipelines, ensuring reliability, observability, and efficiency across systems. This position is ideal for a technically adaptable engineer who thrives in cross-functional environments and enjoys switching between application development and data engineering challenges. Accountabilities: Design, build, and maintain full-stack applications using modern frameworks such as Next.js and Node.js, ensuring responsive and scalable user experiences. Develop backend services and data processing scripts in Python, supporting automation, integrations, and system reliability. Build, orchestrate, and monitor data workflows using Airflow and dbt, ensuring efficient and reliable pipeline execution. Design and implement secure, scalable RESTful APIs to support internal and external system integrations. Manage cloud-based infrastructure in AWS, applying best practices for deployment, scalability, and performance optimization. Optimize PostgreSQL databases through schema design, query tuning, and data migration management. Collaborate with cross-functional teams to rapidly adopt new tools, frameworks, and evolving technical requirements. Requirements: ~5+ years of experience in JavaScript/TypeScript and Node.js development, with strong expertise in Next.js and API-driven architectures. ~ Proven hands-on experience with Python for backend development, data engineering, or automation use cases. ~ Strong knowledge of AWS services such as EC2, S3, Lambda, and RDS, with experience deploying cloud-based applications. ~ Experience building and maintaining data pipelines using Airflow and dbt, as well as workflow automation tools (e.g., n8n, Zapier). ~ Strong SQL and PostgreSQL expertise, including schema design, query optimization, and performance tuning. ~ Solid understanding of CI/CD pipelines and Git-based workflows, including branching, code reviews, and deployment practices. ~ Ability to move fluidly between frontend, backend, and data engineering tasks in a fast-paced environment. ~ Strong problem-solving mindset with a track record of identifying bottlenecks and delivering efficient technical solutions. ~ Continuous learner with adaptability to rapidly evolving tools, frameworks, and engineering practices. Benefits: Competitive compensation package Remote-first role (EST or CST time zone alignment required) Health, dental, and vision insurance coverage Flexible work arrangements and supportive work-life balance Access to wellness programs and employee support resources Learning and development opportunities to support continuous growth Wellness Fridays and additional time-off initiatives (where applicable). How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.