Data Engineering Developer II

Trojan Technologies; London; Remote; CAD 80,000 - 100,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision insurance

Job summary

Trojan Technologies is seeking a Data Engineering Developer to design, build, and support data pipelines and back-end services behind our Stream application and AI analytics ecosystem. You will work hands-on with Python, Snowflake, Airflow, APIs, and cloud services, partnering with Data and AI Engineers to deliver reliable data solutions across remote monitoring, engineering, and business platforms.

Ideal candidates have a strong Python/SQL skillset, 3+ years designing end-to-end data pipelines,

Qualifications

• Bachelor's degree required in CS, data science, engineering, information systems, or related field.
• 3+ years of experience designing, building, and managing end-to-end data pipelines from scratch for SQL-based databases.
• Experience developing DAGs in Apache Airflow or comparable orchestration platform with scheduling, dependencies, monitoring, and troubleshooting.
• Experience building data forwarders and ingestion processes for streaming and batch workloads using Python.
• Strong Python and SQL expertise to develop, troubleshoot, and optimize production data workflows.
• Practical engineering mindset focused on reliable, scalable data infrastructure supporting analytics, applications, and AI solutions.
• Experience working in Agile/Scrum environments, managing sprint commitments and troubleshooting technical issues.

Responsibilities

• Developing and supporting data pipelines using Snowflake, Airflow, and related technologies.
• Maintaining and improving the Stream application’s back-end services, including server-side business logic and API endpoints.
• Supporting ingestion, storage, processing, and orchestration workflows across Trojan’s data ecosystem.
• Monitoring production pipelines and troubleshooting issues related to reliability, security, performance, and data quality.
• Identifying and implementing improvements to pipeline and storage performance.
• Developing data quality checks and monitoring to proactively identify bugs, data integrity issues, and pipeline failures.
• Collaborating with AI Engineers, Data Engineers, software developers, QA, the Data Engineering and Analytics Manager, and business stakeholders.
• Documenting data pipelines, APIs, data dictionaries, and engineering processes.
• Contributing to Agile/Scrum delivery by estimating work, completing sprint commitments, troubleshooting issues, and continuously improving solutions.

Skills

Python

SQL

Airflow

Data pipelines

Agile/Scrum

Cloud services

APIs

Data quality checks

Education

Bachelor's degree in CS / Data Science / Eng / Information Systems

Tools

Snowflake

APIs

Job description

Imagine yourself...Building the data infrastructure behind connected technologies that support clean water around the world.

At Trojan Technologies, we’re looking for a Data Engineering Developer to help develop and support the pipelines, back-end services, and infrastructure behind our Stream application and growing AI and analytics ecosystem.

You’ll work hands-on with technologies including Python, Snowflake, Airflow, APIs, and cloud services, while partnering with Data and AI Engineers to build reliable solutions used across remote monitoring, engineering, sales, service, and other business platforms

For someone looking to deepen their expertise in both data engineering and back-end application development, this role offers the opportunity to work on real production systems while contributing to a mission-driven organization.

This position is remote within Ontario, CAN. The interview process will include Onsite interviews

In this role, a typical day will look like

• Developing and supporting data pipelines using Snowflake, Airflow, and related technologies.
• Maintaining and improving the Stream application’s back-end services, including server-side business logic and API endpoints.
• Supporting ingestion, storage, processing, and orchestration workflows across Trojan’s data ecosystem.
• Monitoring production pipelines and troubleshooting issues related to reliability, security, performance, and data quality.
• Identifying and implementing improvements to pipeline and storage performance.
• Developing data quality checks and monitoring to proactively identify bugs, data integrity issues, and pipeline failures.
• Collaborating with AI Engineers, Data Engineers, software developers, QA, the Data Engineering and Analytics Manager, and business stakeholders.
• Documenting data pipelines, APIs, data dictionaries, and engineering processes.
• Contributing to Agile/Scrum delivery by estimating work, completing sprint commitments, troubleshooting issues, and continuously improving solutions.

The essential requirements of the job include

• Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
• 3+ Years of experience designing, building, and managing end-to-end data pipelines from scratch for SQL-based databases.
• Experience developing DAGs in Apache Airflow or a comparable data orchestration platform, including scheduling, dependencies, monitoring, and troubleshooting.
• Experience building data forwarders and ingestion processes for both streaming and batch workloads using Python.
• Strong, hands-on Python and SQL expertise, with the ability to develop, troubleshoot, and optimize production data workflows.
• A practical engineering mindset with an interest in building reliable, maintainable, and scalable data infrastructure that supports analytics, applications, and AI solutions.
• Experience working within Agile/Scrum environments, including managing sprint commitments and troubleshooting technical issues.

It would be a plus if you also possess:

• Experience designing or implementing user-facing functionality within data or web applications.
• Experience sharing technical knowledge and supporting peer development.
• Exposure to AI or machine learning workflows, particularly feature engineering or data preparation for model training.
• Experience implementing AI solutions. Experience with IoT or time-series data, particularly in an industrial or operational technology environment.

Why this role

This role sits at the intersection of data engineering, application development, IoT, analytics, and AI. You’ll help build the infrastructure that allows data to move reliably from source systems into applications, analytics, and intelligent solutions, while gaining exposure to a growing ecosystem of AI use cases.

It’s an opportunity to strengthen your engineering skills while seeing the direct impact of the systems you build.

Work arrangement

This position is remote within Ontario, CAN. The interview process will include Onsite interviews

About Trojan Technologies And Veralto

At Trojan Technologies (www.trojantechnologies.com), we believe success for all comes from the contributions of every single one of us. That’s why we foster an environment where every associate has a voice, is valued and respected, and feels safe sharing their thoughts. After all, sharing our different viewpoints and experiences is what enables us to find creative and innovative ways to accomplish our shared goals.

Trojan is proud to be a Water Quality company in Veralto (NYSE: VLTO). Imagine a world where everyone has access to clean water, safe food and medicine, and trusted essential goods. That is the tomorrow Veralto is creating today.

Veralto is a $5B global leader in essential technology solutions made up of over 16,000 associates across our Water Quality and Product Identification segments all united by a powerful purpose: Safeguarding the World’s Most Vital Resources.

Take a moment to watch our video: The Power to Make Things Possible

(https://vimeo.com/burnsmarketing/review/823050239/c5d19b300c)

Compensation

The compensation range for this role is $80,000-$100,000 CAD per year. This job is also eligible for bonus pay.

• We offer a comprehensive package of benefits including paid time off, and medical/dental/vision insurance to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.