Data Engineer (Python, Airflow, PostgreSQL) Offline
Who We Are
Mellivora Software is a high-value engineering partner, and we are hiring a Data Engineer for an ambitious startup in the Fintech/e-Law domain (NOT crypto). This is an opportunity to work on a fast-moving project with a strong technical team, where your contributions will directly impact the success of the product.
What You’ll Do
As a Data Engineer, you will be responsible for designing and developing the data infrastructure and pipelines. This role requires a strong work ethic, adaptability, and the ability to work in a dynamic startup environment.
Key Responsibilities:
- Develop and maintain ETL pipelines using Apache Airflow.
- Work with Google APIs & Gemini to integrate external data sources.
- Optimize and manage PostgreSQL databases, ensuring high performance and scalability.
- Develop and maintain backend services using Python (Flask, Pandas, Alembic).
- Automate workflows and system processes using shell scripts.
- Ensure data integrity, security, and efficient processing at scale.
Collaborate with software engineers to implement data-driven solutions.
What We Expect
Must-Have Skills:
✅ Strong experience with Apache Airflow for orchestrating data workflows.
✅ Proficiency in Python, including Flask, Pandas, and Alembic.
✅ Experience with PostgreSQL (query optimization, indexing, and performance tuning).
✅ Familiarity with Google APIs & Gemini.
✅ Experience with shell scripting for automation and system tasks.
✅ Ability to work autonomously in a fast-paced, evolving environment.
Nice-to-Have:
➕ Experience in startups or fast-paced projects.
➕ Understanding of data modeling and warehousing concepts.
➕ Hands-on experience with cloud platforms (Google Cloud, AWS, or similar).
➕ Experience in Backend engineering.
What We Offer
💻 Remote work – work from anywhere.
💰 Competitive compensation based on experience.
🚀 Fast-paced and dynamic work environment where you can grow and make a difference.
Other Details
- This position is project-based: the duration could be a few months or may extend indefinitely.
- We expect a high level of involvement – this is a startup environment, meaning fast iterations, challenges, and real impact.