
Senior Full Stack Software Development Engineer with Data Engineering Expertise
7 hours ago
We are seeking a seasoned software development engineer to join our team. As a senior full stack developer with data engineering expertise, you will play a key role in designing and building cutting-edge software systems that power our analytics platform.
The ideal candidate will have a strong background in Python programming and experience working with cloud-based technologies such as AWS. You should also be familiar with front-end development frameworks and tools, including HTML/CSS and JavaScript.
About the RoleThis is a hands-on position that requires collaboration with cross-functional teams to deliver high-quality solutions. You will work closely with data scientists and engineers to design and implement scalable data pipelines, develop intuitive business-facing applications, and ensure seamless interaction between UI, APIs, and data layers.
The successful candidate will have a proven track record of building enterprise-grade software applications and a passion for applying technology to solve real-world problems. They should be comfortable working in a fast-paced startup environment with evolving priorities and an Agile mindset.
Responsibilities- Design and build full-stack applications using Python, Streamlit, and modern web frameworks
- Develop scalable data pipelines to ingest, clean, transform, and serve data from diverse sources into Snowflake and other cloud-native databases
- Implement low-latency, high-availability backend services to support data science, decision intelligence, and interactive visualizations
- Integrate front-end components with backend systems and ensure seamless interaction between UI, APIs, and data layers
- Collaborate with data scientists/MLOps teams to deploy models, support experimentation, and enable rapid iteration on analytics use cases
- 5+ years of professional software development experience with a proven track record of building enterprise-grade software applications
- Required technology experience with Python, Pandas, SQL, AWS, Snowflake, Git/GitHub, Docker, Airflow/Prefect or similar DAG orchestration technology, and front-end engineering (HTML/CSS, JavaScript, component-based frameworks)
- Experience designing and managing scalable data pipelines, data processing jobs, and ETL/ELT
- Experience in defining data architecture/data engineering architecture, including robust pipelines, and building/maintaining well-structured APIs and microservices in a cloud environment
We offer a competitive salary, comprehensive benefits package, and opportunities for growth and professional development. Our team is passionate about delivering high-quality solutions and making a meaningful impact in the industry.
You will have the opportunity to work with a talented team of engineers and data scientists, collaborate with customers, and contribute to the company's success. We value innovation, creativity, and a passion for learning and self-improvement.
We are committed to creating a diverse and inclusive workplace culture that fosters open communication, respect, and trust. Our goal is to provide a supportive and dynamic environment where everyone can thrive and grow professionally and personally.
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