Staff Software Engineer - Data Platform

Pantheon Systems, Inc

8d • $166,700 - $232,000

About The Position

The Staff Software Engineer will serve as the lead technical member of Pantheon’s Data Platform team, extending a configuration-driven data platform that supports data extraction, ingestion, curation, compliance, security, and enterprise-wide access. The role will help surface data insights within Pantheon’s product and build infrastructure for machine-learning and LLM-driven insights. The platform uses Python, Airflow, Kubernetes, configuration YAML, Great Expectations, and Terraform.

The engineer will architect and maintain core platform services, including Ingest as a Service, Curation as a Service, and Retention as a Service. They will work hands-on with modern data infrastructure, guide engineers, own the full development and operations lifecycle of the systems they build, and improve engineering standards. The role partners with teams across Product, Sales, Operations, and Finance, and participates in the Data team’s on-call rotation.

Pantheon describes its engineering culture as collaborative, autonomous, and no-blame, with values of Trust, Teamwork, Passion, and Customers First. The position offers competitive compensation and equity, flexible time off, paid holidays, medical coverage, parental and family-planning benefits, and professional-development support. Visa sponsorship is not available.

Requirements

• 8+ years building production data systems, with deep expertise in large-volume data pipelines, cloud databases, and real-time data events.
• Demonstrated technical leadership, including mentoring engineers and driving architecture decisions for a team or platform.
• Strong hands-on experience with Python 3.
• Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, Firebolt, or Redshift.
• Experience with a cloud environment, containers, Kubernetes, and Terraform.
• Familiarity with configuration-driven pipeline design, Airflow, and CI/CD for data workflows.
• Experience building or supporting data infrastructure for Machine Learning and LLM applications, such as feature stores, embedding or vector pipelines, or model-ready data services.
• Hands-on experience using AI tools to accelerate work.
• Deep understanding of processing large-scale datasets across distributed systems and the trade-offs involved in designing for high throughput and low latency.
• Ability to design, implement, and optimize scalable dimensional and normalized data models for OLAP and OLTP systems, ensuring data integrity and query performance.
• Experience with data governance frameworks, data catalogs, and observability tooling.
• Ability to translate ambiguous requirements into clear architecture and provide technical direction.
• Customer and product focus, including understanding the business value of work and aligning data solutions with company goals.
• Ability to communicate technical designs, project status, and risks clearly to technical and non-technical stakeholders, while remaining open to others’ ideas.
• Experience embedding automated test coverage, data validation, and idempotent design into deployment pipelines.
• Commitment to security, trust, dependability, declarative design, modularity, containers, and idempotency.
• Collaborative team mindset and clear, open communication.

Nice To Haves

• Google Cloud Platform experience is preferred over experience with a comparable cloud environment.

Responsibilities

• Extend the configuration-driven data platform to surface data insights in Pantheon’s product and support machine-learning and LLM-driven insights.
• Architect, maintain, and enhance core data platform services: Ingest as a Service, Curation as a Service, and Retention as a Service.
• Work hands-on with Snowflake, including Snowpark for Python, Google Cloud Platform, Airflow, Docker, and Terraform.
• Guide engineers in designing and implementing high-impact projects and raise the technical bar across the team.
• Own the full lifecycle of systems, including development, testing, operations, and support.
• Drive continuous improvement of coding, testing, deployment, and communication standards.
• Partner with Product, Sales, Operations, Finance, and other teams to deliver data solutions and support a self-service, data-driven culture.
• Participate in the Data team’s on-call rotation and contribute to the stability, reliability, and performance of Pantheon’s data infrastructure.

Benefits

• Industry-competitive compensation and equity plan.
• Flexible time off and sick days.
• 13 paid holidays.
• Comprehensive medical insurance, including health, dental, and vision.
• Paid parental leave, plus fertility, adoption, and other family-planning benefits.
• In-office workspace in San Francisco and Chicago.
• Monthly allowance for wellness and reading.
• Access to LinkedIn Learning for continued development.
• Team-based and company-wide events and activities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed