Senior Data Engineer

Highlightta; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading nonprofit software company is seeking a Senior Data Engineer to architect and manage data pipelines that support AI/ML workflows. This role requires a strong background in data engineering, with hands-on experience in building scalable solutions. The ideal candidate will possess expertise in SQL, cloud data warehousing, and streaming data technologies. This is a fully remote position, offering competitive benefits and a collaborative work environment focused on making a positive impact.

Benefits

Unlimited paid time off

401(k) with company match

Paid parental leave

Company-paid life insurance

Paid sick time

Monthly paid volunteer day

Flexible spending accounts

Qualifications

• 4+ years of hands-on experience in a data engineering role.
• Deep expertise in designing and optimizing data pipelines.
• Experience with cloud data warehouses, preferably Snowflake.

Responsibilities

• Design and maintain robust data pipelines for large data sets.
• Create a centralized data hub for analytics and insights.
• Collaborate with stakeholders to understand data needs.

Skills

Building and maintaining data infrastructure

Designing data pipelines

SQL for data manipulation

Streaming data technologies

Working with medallion architecture

Education

Bachelor’s degree in a quantitative field

Tools

Snowflake

DBT

Job description

At Neon One, we believe that technology is the key to building vibrant communities of generosity. As a leader in nonprofit software since 2004, we create intuitive solutions that help small and mid-sized nonprofits connect with people, build trust, and make good happen every day.

Our culture is powered by empathy, innovation, and a shared mission to empower organizations making a difference. We operate with a customer-first mindset, take pride in extraordinary results, and grow together by supporting each other and embracing bold new ideas. If you’re passionate about using your skills to drive real impact and want to thrive in a collaborative, fully remote environment, Neon One is the place for you.

The Senior Data Engineer will architect and manage robust data pipelines and infrastructure that support ML/AI workflows, analytics, and business intelligence across our platform. Your work will empower product, marketing, and finance teams with clean, centralized, and actionable data to drive insights and innovation.

This is a role for someone who thrives in ambiguity, enjoys end-to-end system ownership, and is passionate about designing scalable solutions from the ground up.

Key Responsibilities

• Architect & Build Data Pipelines: Design, build, and maintain robust and scalable data pipelines to ingest large data sets from customer-facing products, internal systems, and third-party sources into our cloud data platform.
• Create a Centralized Data Hub: Be a key player in creating a centralized data hub that empowers not only our AI and ML initiatives but also provides clean, reliable data for analytics, reporting, and strategic insights across the entire business.
• Enable AI & ML Operations: Create and manage the operational data pipelines essential for the training, validation, and deployment of machine learning models in collaboration with the Data Scientist and AI Engineer.
• Implement Data Modeling & Governance: Develop and manage our data warehouse using a medallion architecture (Bronze-Silver-Gold) in Snowflake. Ensure data is progressively cleansed, structured, and optimized for a wide range of applications, from business intelligence to advanced AI.
• Develop and Manage Data Transformations: Use tools like DBT to build, test, and deploy data transformation logic, ensuring the highest standards of data quality, integrity, and reliability.
• Collaborate and Empower: Partner closely with stakeholders across the organization to understand their data needs and provide them with the data and tools they need to be successful.
• Optimize and Scale: Own the performance, scalability, and cost-effectiveness of our data infrastructure. You will be responsible for monitoring, maintaining, and optimizing our data stack.

Must-Haves

• 4+ years of hands-on experience in a data engineering role, with a proven track record of building and maintaining data infrastructure in a production environment.
• Deep expertise in designing, building, and optimizing data pipelines and ETL/ELT workflows.
• Advanced proficiency in SQL for complex data manipulation and extraction.
• Hands‑on experience with a cloud data warehouse, preferably Snowflake.
• Experience with streaming data technologies (e.g., Snowpipe Streaming, Fivetran, Kafka).
• Direct experience implementing and working with a medallion architecture, preferably Snowflake.
• Demonstrated experience working within a major cloud ecosystem, deploying infrastructure and tools, ideally AWS.
• A Bachelor’s degree in a quantitative field such as Computer Science, Engineering, Statistics, or a related discipline.

Great-to-Haves

• Proficiency in Python and data engineering libraries.
• Familiarity with modern data transformation tools, particularly dbt.
• Familiarity with MLOps principles and tools.
• Passion for the nonprofit sector or experience working in social good technology.

Why Join Neon One?

At Neon One, our values are how we show up every day. We make good happen by putting empathy and passion at the center of our work, using technology to uplift mission‑driven organizations. We stand for our customers, act with care and intention in every decision, own the solution, and grow together. We innovate fearlessly, always exploring new ways to support our community and each other.

Benefits and More

• Unlimited paid time off
• 401(k) with up to 3.5% company match
• Paid parental leave after one year
• Company‑paid life insurance and long‑term disability
• 11 company holidays
• Paid sick time and a monthly paid volunteer day
• Medical and dependent care flexible spending accounts
• Fully remote workplace

How We Hire

We use AI tools to support our recruitment process, including helping us organize applications and identify early matches based on role criteria. That said, every rejection decision is made by a human. We encourage candidates to apply authentically and avoid relying solely on AI‑generated responses, especially during interviews.

This opportunity is offered through HighlightTA, the on‑demand talent team supporting Neon One’s growth.