TalentNeuron is the world's leading provider of labor market analytics, delivering high-fidelity talent data on an unmatched global scale. TalentNeuron delivers actionable talent insight for every region of the world covering countries that collectively represent more than 90% of the world's GDP. Through deep investments in machine learning and artificial intelligence, our technology platform ingests and normalizes hundreds of millions of structured and unstructured data points each day, delivering critical talent insights in support of workforce planning, strategic skills analysis, location optimization, DEI tactics, and sourcing strategies for local, regional, and global talent. These insights can be delivered to clients via software as a service, data as a service, or fully custom research efforts from our team of expert data scientists and advisors.

Our Core Values

Humanity First: We lead with humanity. We foster empathy, kindness, respect, and inclusiveness in all contexts and support one another.

Customers at the Core: We engage in meaningful and constant dialogue with clients to deeply understand and anticipate their needs, and consistently deliver exceptional value. We operate with integrity and do what’s right for our clients, no matter how difficult.

Diverse Minds, One Team: We are curious and seek different perspectives and find common ground, but we act, succeed, fail, and celebrate as one. We openly collaborate, communicate, debate, and compromise across groups.

Pioneering Innovation: We take risks, fail fast, and learn from our experiments. We champion change and evolution without fear and inspire a culture where innovation thrives.

Resilient Perseverance: We think creatively and pragmatically to find solutions, remove barriers, and overcome obstacles. We are equally accountable for the results of the whole team and for our individual commitments, and we find a way to get things done by embracing a “yes we can” attitude.

We are seeking a Senior Python Developer – Data Engineering with a strong focus on data engineering to join our team. The ideal candidate will have experience designing, building, and maintaining data pipelines, ETL processes, and data warehouses. They will also have excellent coding skills in Python and experience with REST API design and development.

What You Will Do

• Design and build scalable, robust, and maintainable data pipelines and ETL processes.
• Work on our HR Analytics Platform to parse job postings (and other online data) and implement analytics to feed into our SaaS platforms and Market Intelligence projects.
• Develop and maintain data warehouses and databases using technologies such as Redshift, PostgreSQL or similar.
• Work closely with data scientists and analysts to understand their requirements and ensure data quality and consistency.
• Collaborate with other developers and engineers to build efficient, reliable, and performant systems.
• Write clean, efficient, and well-documented code in Python. Develop and maintain RESTful APIs to provide access to data and services.
• Troubleshoot and resolve data-related issues as they arise.
• Stay up-to-date with the latest technologies and trends in data engineering and REST API development.

Environment:

• Python 
• Ray 
• Kafka 
• Redshift 
• PostgreSQL 
• FastAPI 
• JupyterHub 

What You Will Bring:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. 
• At least 3 years of professional experience as a Python developer focused on data engineering. 
• Experience designing and building data pipelines and ETL processes using Python libraries such as pandas, NumPy, and SciPy. 
• Experience working with databases and data warehousing concepts, including data modeling, schema design, and SQL. 
• Strong coding skills in Python, with a focus on code quality, maintainability, and performance. 
• Experience designing, developing, and maintaining RESTful APIs using Python frameworks like FastAPI, Flask, or Django. 
• Strong problem-solving skills and the ability to work independently and in a team environment. 
• Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.