Data (Python) Developer
Listed on 2026-08-10
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Software Development
Python, Software Engineer, Data Engineering, Data Scientist
Dark Vision is looking for a Data (Python) Developer to join the Data Development Team in North Vancouver, BC. In this role, you will work collaboratively with teammates and other departments in a fast-paced, ever-changing environment to develop and advance the data analysis deliverables supporting the multi-million-dollar operations of our customers.
You will support the Data Analysis Delivery team by writing and maintaining scripts to automate their analysis and deliverable workflows. You will work with the Product team to prototype new deliverables (inspection reports and 3D visualizations), and work with the Engineering Team to diagnose issues that affect Data Analysis Deliverables, and suggest improvements.
This regular full-time position is 100% on-site in our HQ in North Vancouver, BC, where employees enjoy full access to our facility amenities including a well-equipped gym, squash court, climbing wall, steam room, and more!
Immigration sponsorship or support is not available for this position.
Our TeamDark Vision’s acoustic imaging technology captures terabytes of high-fidelity data with each run. Our Data Analysis Development team plays a critical role in the commercial process by supporting the Data Analysis Delivery team in building and maintaining tools to streamline the analysis workflow, advancing and improving new deliverables, and improving processes for quality assurance.
There will always be new software tools and scripts to write and improve, new technologies to exploit and generate deliverables on, and new ways to make processes better, faster, and more sustainable and scalable. This entails a detail-oriented mindset, a default-to-action work ethic, and a multi-disciplinary perspective.
What You Will Do- Develop and maintain scripts to automate analysis workflows.
- Develop and maintain analysis dashboards for higher level tracking of project status and Key Performance Indicators.
- Develop and maintain analysis procedures that streamline a sustainable and scalable workflow.
- Work with other analysts, Sales, Product, and Engineering teams to document and investigate issues, and prevent their reoccurrence.
- Gather and analyze test data that will be used to prove out feasibility of new technology and deliverable products.
- Develop new and innovative ways of representing and visualizing current data to generate new customer deliverables.
- Work with the Product team in the data gathering, analysis, and writing of technical conferences papers.
- Help analysts debug issues in their analysis workflow, and reproduce, document, and raise issues for other functional teams.
- Interface with our Research, Machine Learning, Software, and Product teams to ensure the Data Team’s needs are met, and vice versa.
- Able to work 100% on-site in our North Vancouver office.
- Experience developing production code in Python (code used in a product or professional setting, not academia- or research-only applications).
- Experience developing workflow automation scripts (to automate manual steps performed by analysts).
- Detail oriented; meticulous in documentation.
- Independent - can operate with little guidance while providing results at regular intervals for feedback.
- Collaborative - works to meet the needs and goals of the team.
- Experience in the development of ML models (data gathering, training, testing, and/or deployment)
- Image processing experience.
- MATLAB experience.
- Proficiency in PowerBI.
- Ultrasonic imaging experience.
- Software and algorithm development experience.
For this role, we anticipate paying $70,000 - $115,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location.
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