Data Engineer – HabiTerre

Working at HabiTerre

We are an equal opportunity employer with a team around the country. We offer a workplace that is both casual and professional, and a culture that is committed to learning, fun, and excellence.

Our team consists of people who are passionate about creating insights-rich and intuitive customer experiences and, at the same time, obsess over performance and reliability of what we build. We challenge the status quo and strive towards finding the best way to solve problems.

We work in small collaborative groups to keep things simple and efficient, and thus give a lot of autonomy to our staff members to perform the work required and be creative.

Leadership and Cultural Expectations

At HabiTerre, we hold ourselves to high standards of leadership and cultural values. We expect all team members to embody the following principles:

• Be authentic and tell your truth: Embrace transparency and honesty in all communications and interactions.
• Persevere: Demonstrate resilience and determination in the face of challenges, pushing through obstacles to achieve our goals.
• Lean in and do the right thing, even when it is hard: Act with integrity and ethical conduct, making decisions that prioritize the greater good.
• Choose excellence; be your best, keep improving, exceed expectations: Strive for excellence in everything you do, continuously seeking opportunities for growth and development.
• Exercise confident humility: Approach your work with confidence tempered by humility, recognizing the value of diverse perspectives and the importance of lifelong learning.

Location: Champaign IL / Remote

Job Responsibilities

• Apply technical expertise to implement testable, scalable and maintainable computer science algorithms. Drive roadmaps through your insights and recommendations.
• Work with large and complex remote sensing datasets to solve various challenging problems.
• Work collaboratively with the business team to understand customer needs and help shape business roadmap and vision.
• Influence product direction through clear and compelling presentations to leadership.
• Provide support to the company’s intellectual property counsel.

Basic Qualifications:

• BS in Computer Science or related technical field.
• 3+ Years experience in Python development.
• 2+ Years experience in implementing large-scale data processing and modeling pipelines on cloud computing platforms such as AWS, GCP and Azure.
• 2+ Experience in implementing machine learning and deep learning algorithms using Python ML/DL frameworks, such as PyTorch, Tensorflow, Scikit-Learn.
• Experience with parallel programming, Linux/UNIX and Shell scripting.

Preferred Qualifications:

• Master’s or further education in computer science or other related fields.
• Experience in remote sensing and geospatial data processing.
• Proficiency in front-end languages, libraries, and rendering technologies (JavaScript, Node.js, templating languages, web frameworks, HTML5, CSS/SASS).