Data Engineer

Avature; North Vancouver; On-site; USD 100,000 - 160,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you'll design and maintain data pipelines that transform complex datasets into actionable insights. This exciting role supports the development of cutting-edge web applications and data-driven workflows, allowing you to make a significant impact in the field of industrial imaging. You'll collaborate with a talented team of experts, leveraging modern cloud infrastructure to ensure the reliability and scalability of data processing workflows. If you're passionate about data engineering and eager to work in an innovative environment, this opportunity is perfect for you.

Benefits

Access to gym

Squash court

Climbing wall

Steam room

Qualifications

• 3+ years of experience in Data Engineering or similar role.
• Proficiency in Python and SQL with experience in relational databases.

Responsibilities

• Build and maintain scalable data pipelines for industrial asset inspection.
• Collaborate with stakeholders to integrate data outputs into reporting systems.

Skills

Python

Analytical Skills

Problem-Solving Skills

Data Processing

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Engineering

Tools

dbt

Pandas

PySpark

SQL

Apache Airflow

AWS S3

AWS RDS

Terraform

Job description

DarkVision, part of Koch Engineered Solutions, is looking for an intermediate to senior level Data Engineer to join our Research & Innovation team.

As a Data Engineer, you will design and maintain data pipelines to transform and integrate complex datasets into a reporting system, enabling actionable insights and advanced analytics. Your work will support the development of cutting-edge web applications and data-driven workflows.

This is an on-site regular full-time position 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!

Our Team

To make well-informed decisions, Oil & Gas asset operators need a clear picture of the inner workings of piping infrastructure. The team at DarkVision makes this happen. Our experts from across the machine vision, imaging, computer graphics, and data analytics sectors have created the most technologically advanced platform for pipeline and downhole diagnostics.

With the largest ultrasound datasets globally, DarkVision's Research & Innovation team unites top-tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures. Come join our team as we embark on the exciting journey ahead to become the global leader in industrial imaging.

What You Will Do

• Build and maintain scalable pipelines to process industrial asset inspection data and prepare it for generating reports and visualizations.
• Develop workflows to transform raw datasets into enriched, structured formats suitable for both analytical tools and client-facing web applications.
• Collaborate with analysts and other stakeholders to integrate data outputs into a reporting system that meets business and client needs.
• Implement data validation and quality checks to maintain the integrity of the reporting system.
• Automate and monitor data processing workflows to ensure reliability and scalability.
• Leverage modern cloud infrastructure and data tools to manage storage, processing, and pipeline orchestration.

Who You Are (Basic Qualifications)

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• At least 3 years of professional experience in Data Engineering or a similar role.
• Proficiency in Python.
• Experience with data processing frameworks such as dbt, Pandas, or PySpark.
• SQL skills with experience in relational databases (e.g., PostgreSQL, MySQL).
• Knowledge of data pipeline orchestration tools (e.g., Apache Airflow, Prefect).
• Familiarity with cloud-based data services, such as AWS S3, RDS, or equivalent platforms.

What Will Put You Ahead

• Strong analytical and problem-solving skills, with a focus on creating efficient and maintainable data workflows.
• Experience working with datasets involving scientific, geospatial, or sensor data.
• Knowledge of best practices in data modeling, versioning, and lineage tracking.
• Experience with infrastructure-as-code tools like Terraform for managing cloud resources.
• Familiarity with integrating data pipelines into web-based reporting systems.
• Strong communication skills and the ability to work collaboratively in cross-functional teams.

General Salary Range

For this role, we anticipate paying $100,000 to $160,000 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. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

How to Apply

If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.

We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.

Successful candidates will be required to complete a criminal background check.