Software Engineer II - Data Platform

Pantheon Systems, Inc

$103K — $129K *
US-AnywhereRemote in Canada
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5+ years experience in building production services and data engineering
  • Proficiency in Python and/or Go for component development
  • Experience with relational databases (e.g., MySQL, Postgres) and data warehouses (e.g., Snowflake, BigQuery)
  • Familiarity with containerization tools (e.g., Docker, OCI), Terraform, and Kubernetes
  • Understanding of scalable data modeling and architecture concepts

Responsibilities

  • Build scalable and reliable data systems, ensuring business-critical pipeline SLOs are met.
  • Collaborate with internal teams (Product, Sales Ops, Finance) to create impactful data solutions.
  • Support a self-service approach to data for various teams within Pantheon.
  • Contribute to the strategic direction and operational excellence of Pantheon's data platform.
  • Stay updated on trends and technologies in data engineering and modern data platforms.
  • Implement engineering best practices for data architecture, testing, reliability, and documentation.

Benefits

  • Competitive compensation and equity plan
  • Generous Paid Time Off (PTO) and 12 Paid Company Holidays
  • Comprehensive medical coverage including health, dental, and vision
  • Provision of top-tier equipment for work
  • In-office workspace available in Vancouver, BC
  • Monthly allowance for wellness and access to LinkedIn Learning
Full Job Description
The Role

The Data Platform team powers Pantheon's data infrastructure and delivers analytics across the company. We are dedicated to providing reliable, scalable, and high-performance data solutions that drive business intelligence and operational excellence across the entire company. We are currently seeking a highly motivated and experienced Software Engineer II to join our dynamic team and play a pivotal role in shaping the future of data at Pantheon.

What You Will Do
  • Build scalable, reliable data systems while maintaining SLOs for business-critical pipelines.
  • Partner with other internal teams such as Product, Sales Ops, and Finance to deliver high-impact data solutions.
  • Support self-service tooling and a data-driven culture across Pantheon's teams.
  • Contribute to the technical strategy and operations of Pantheon's data platform.
  • Stay up-to-date with industry trends and technologies in data engineering, analytics, and modern data platforms.
  • Continuously improve our standard of engineering excellence by implementing best practices for data architecture, testing, pipeline reliability, and documentation.

What you Need to Succeed
  • Customer/Product Focus: An understanding of the direct or indirect business value of their work, ensuring that data solutions align with company-wide goals and provide maximum impact for internal and external customers.
  • Understanding of Distributed Data Systems: Familiarity with the concepts and challenges of processing large-scale datasets across distributed systems and a clear grasp of trade-offs when designing solutions for high throughput and low latency.
  • Strong Written and Verbal Communication Skills: The ability to clearly articulate technical designs, project status, and potential risks to both technical peers and non-technical stakeholders (Product, Sales, Finance, etc.).
  • Quality Mindset: Understanding of how to integrate automated test coverage and validation into a deployment pipeline.

What you Bring to the Table
  • Demonstrated Experience: 3-5+ years of experience building production services and features, ideally with a mix of Data Engineering expertise.
  • Coding Proficiency: Ability to build maintainable components in Python and/or Go.
  • Database Knowledge: Comfortable using SQL with relational databases (e.g. MySQL, Postgres) and data warehouses (e.g. Snowflake, BigQuery).
  • Cloud & Infrastructure: Experience working with containerization (e.g., Docker, OCI), Terraform, and Kubernetes (K8s).
  • Data Experience: Familiarity with modern data stacks (e.g. Snowflake, dbt, Airflow, Looker)
  • Experience building data pipelines for AI and Machine Learning is a big plus!

What We Offer

We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team.
  • Industry competitive compensation and equity plan
  • Paid Time Off (PTO), Paid Sick Leave (PSL) and 12 Paid Company Holidays
  • Full medical coverage (Extended health care, dental, vision)
  • Top-of-line equipment
  • In-office workspace (Vancouver, BC Canada)
  • Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development
  • Events and activities both team-based and company wide that inspire, educate and cultivate

The Canadian base salary range for this position is 103,206 - 129,008 CAD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

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