Data Engineer Python
Data Engineer Python
Posted on :
24-01-2025
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1 Vacancy
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Job Description
This is a remote position.
We are seeking a Data Engineer (Python) to join our team and help improve our tools processes and technical infrastructure. In this role you will ensure the availability and quality of our data while contributing to the design implementation and maintenance of company products. You ll collaborate across teams to create scalable and optimized software systems and play a key role in refining our development processes. This position offers a unique opportunity to learn and leverage cuttingedge AI development tools to enhance coding efficiency and develop advanced data tools and solutions.
Responsibilities:
- Data Infrastructure: Design implement and maintain data pipelines ensuring data availability quality and scalability.
- Product Development: Build and enhance products using Python SQL and modern technologies.
- AI Integration: Leverage cuttingedge AI tools including Cursor ChatGPT and Claude to improve development processes automate workflows and create innovative data solutions.
- Collaboration: Communicate across departments to design build test and implement new features and enhancements.
- Code Excellence: Produce quality testable and maintainable code while participating in code reviews.
- Problem Solving: Debug complex issues interact with stakeholders and design viable solutions with clear tradeoffs.
- Process Optimization: Contribute to improving development processes including deployment oncall systems and sprint planning.
- Team Growth: Collaborate within the development team to help each other grow and continuously learn.
- Stakeholder: Engagement: Partner with analysts scientists and IT to ensure alignment and deliver datadriven solutions.
- Other duties as assigned/necessary.
Requirements
- Technical Tools: Experience with in Python and/or SQL. Experience with Bash Shell scripting Big Query Airflow and is a plus.
- Programming: Cleaning data using codebased approach.
- AI Proficiency: Interest or experience in using AI tools for coding and development of data solutions.
- Soft Skills: Problemsolving crossteam collaboration data storytelling and stakeholder engagement.
- Adaptability: Thrives in a fastpaced startup environment and embraces change.
- Proactivity: Selfdirected organized and able to prioritize effectively.
- Collaboration: Ability to work effectively with crossfunctional teams.
- Education & Experience: A bachelor s degree is required and a graduate degree is preferred. Relevant experience in data engineering software development STEM or related fields. Strong experience with SQL and Python is highly desirable.
- Mindset: A passion for innovation continuous improvement and delivering highquality results from messy data.
Preferred Qualifications:
- Familiarity with cloudbased solutions (e.g. Google Cloud Platform Azure).
- Experience with ETL processes and tools.
- Experience building data visualization reports and dashboards.
- Knowledge of modern data storage solutions and database management systems.
- Exposure to DevOps practices and tools for deployment and monitoring.
Benefits
- Work Location: Remote
- 5 days working
Technical Tools: Experience with in Python and/or SQL. Experience with Bash, Shell scripting, Big Query, Airflow, and is a plus. Programming: Cleaning data using code-based approach. AI Proficiency: Interest or experience in using AI tools for coding and development of data solutions. Soft Skills: Problem-solving, cross-team collaboration, data storytelling, and stakeholder engagement. Adaptability: Thrives in a fast-paced startup environment and embraces change. Proactivity: Self-directed, organized, and able to prioritize effectively. Collaboration: Ability to work effectively with cross-functional teams. Education & Experience: A bachelor s degree is required, and a graduate degree is preferred. Relevant experience in data engineering, software development, STEM, or related fields. Strong experience with SQL and Python is highly desirable. Mindset: A passion for innovation, continuous improvement, and delivering high-quality results from messy data. Preferred Qualifications: Familiarity with cloud-based solutions (e.g., Google Cloud Platform, Azure). Experience with ETL processes and tools. Experience building data visualization reports and dashboards. Knowledge of modern data storage solutions and database management systems. Exposure to DevOps practices and tools for deployment and monitoring
Employment Type
Full Time
Key Skills
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