Data Engineering Developer II

Trojan Technologies; Canada; A distancia; CAD 80.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonus pay

Paid time off

Medical/dental/vision insurance

Descripción de la vacante

Trojan Technologies seeks a Data Engineering Developer to build and support data pipelines and back-end services behind our Stream application and analytics ecosystem.

You will work with Python, Snowflake, Airflow, APIs, and cloud services, collaborating with Data and AI Engineers to deliver reliable production systems across remote monitoring, engineering, sales, service and other platforms.

This role is remote within Ontario, Canada, with onsite interviews as part of the process.

Formación

• Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
• 3+ years designing, building, and managing end-to-end data pipelines from scratch for SQL-based databases.
• Experience DAGs in Apache Airflow or comparable orchestration platform (scheduling, dependencies, monitoring, troubleshooting).
• Experience building data forwarders and ingestion for streaming and batch workloads using Python.
• Strong Python and SQL expertise to develop, troubleshoot, and optimize production data workflows.
• Engineering mindset focused on reliable, maintainable, scalable data infrastructure for analytics and AI.

Responsabilidades

• Developing and supporting data pipelines using Snowflake, Airflow, and related technologies.
• Maintaining Stream application's back-end services, including server-side logic and API endpoints.
• Supporting ingestion, storage, processing, and orchestration across Trojan's data ecosystem.
• Monitoring production pipelines and troubleshooting reliability, security, performance, and data quality issues.
• Collaborating with AI Engineers, Data Engineers, software developers, QA, and stakeholders.
• Documenting data pipelines, APIs, data dictionaries, and engineering processes.

Conocimientos

Data pipeline design

SQL

Python

Agile/Scrum

Collaboration

Educación

Bachelor's degree in CS / Data Science / Engineering

Herramientas

Snowflake

Airflow

APIs

Cloud services

Descripción del empleo

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.

Unsolicited Assistance

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