Pantheon Systems, Inc

Pantheon Systems, Inc

Staff Software Engineer - Data Platform

United States (Remote) · Staff+

No sponsorship$167k-$232kDetected 11 days ago
PythonDistributed SystemsBigQuerySnowflakeGCPCloud PlatformsDockerKubernetesCI/CDDevOpsMachine LearningAirflowData EngineeringLLMsWordPressLeadershipCommunicationCollaborationMentoring

About the role

  • We've built a robust, configuration-driven data platform that handles extraction, ingestion, curation, compliance, security, and enterprise-wide access to data - and we're looking for a Staff Software Engineer to take it to the next level.
  • In this role, you'll extend the platform beyond its current foundation to surface data insights directly within our Product experience, and to power the infrastructure behind Machine Learning and LLM-driven insights.

Responsibilities

  • Serve as the lead technical member of the Data Platform team, maintaining and enhancing our core platform services: Ingest as a Service (consistent extraction and loading into the data lake), Curation as a Service (configuration-driven, audited transformations) and Retention as a Service (historical data hosting that balances access, compliance, and cost).
  • Build with modern data infrastructure. Work hands-on with Snowflake (including Snowpark for Python), Google Cloud Platform, Airflow, Docker, and Terraform.
  • Own the full lifecycle. Operate in a full DevOps model - development, testing, operations, and support for the systems you build.
  • Raise the bar. Drive continuous improvement of engineering standards for coding, testing, deployment, and communication.
  • Partner cross-functionally. Work with Product, Sales, Ops, Finance and other teams to deliver high-impact data solutions and support a self-service, data-driven culture across Pantheon.
  • Support reliability. Participate in the Data team's on-call rotation, contributing to the stability, reliability, and performance of Pantheon's data infrastructure.
  • Data modeling and architecture: ability to design, implement, and optimize scalable data models (dimensional, normalized) for both OLAP and OLTP systems, ensuring data integrity and query performance.
  • Communication: the ability to clearly articulate technical designs, project status, and risk to both technical peers and non-technical stakeholders, while remaining open to others' ideas.
  • Design principles: security, trust, and dependability are foundational to how you build - declarative design, modularity, containers, and idempotency should genuinely excite you.

Requirements

  • experience with data governance frameworks, data catalogs, and observability tooling that keep large-scale data assets discoverable, trusted, and compliant.
  • strong hands-on experience with Python (Python 3).
  • hands-on experience with cloud data warehouses such as Snowflake, BigQuery, Firebolt, or Redshift.
  • Data governance & observability: experience with data governance frameworks, data catalogs, and observability tooling that keep large-scale data assets discoverable, trusted, and compliant.
  • Coding proficiency: strong hands-on experience with Python (Python 3).
  • Database knowledge: hands-on experience with cloud data warehouses such as Snowflake, BigQuery, Firebolt, or Redshift.
  • AI-forward: hands-on experience using AI tools to accelerate how you work.
  • After an offer is made and accepted, E-verify will be utilized to establish your identity and employment eligibility as required by the U.S. Department of Homeland Security.

Nice to have

  • experience with Google Cloud Platform (preferred) or a comparable cloud environment, plus containers, Kubernetes, and Terraform.
  • Cloud & infrastructure: experience with Google Cloud Platform (preferred) or a comparable cloud environment, plus containers, Kubernetes, and Terraform.

Skills

  • About Pantheon
  • The platform runs on Python, Airflow, Kubernetes, configuration YAML, Great Expectations, and Terraform.

Compensation

  • The US base salary range for this position in the United States is $166,700 - $232,000 USD per year.

Benefits

  • 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
  • Flexible time off, sick days, and 13 paid holidays
  • Comprehensive medical insurance including Health, Dental and Vision
  • Paid parental leave (plus fertility, adoption and other family planning benefits)
  • Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development
  • Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities.
  • Extend our robust, configuration-driven data platform to surface data insights directly within the Product experience, and to power the infrastructure behind Machine Learning and LLM-driven insights.

Company info

  • The Data Platform team powers Pantheon's data infrastructure and delivers analytics across the company.
  • Pantheon's core values are Trust, Teamwork, Passion, and Customers First.
  • Customer/product focus: an understanding of the direct and indirect business value of your work, ensuring data solutions align with company-wide goals and deliver impact for internal and external customers.

Equal opportunity

  • If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent@pantheon.io.

Visa & Work Authorization

  • Visa Sponsorship is not available at this time.
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