Software Engineer II – Data Platform

Pantheon Platform

Software Engineer II building scalable data solutions for Pantheon Systems, Inc. Ensuring high-performance data infrastructure across the company with a focus on business intelligence.

Posted 7/1/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $116,640 - $162,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable data systems and pipelines using Python and SQL, while fostering a data-driven culture and collaborating with cross-functional teams. Proficient in modern data stacks and containerization technologies to enhance data architecture and operational efficiency.

Highest-signal resume keywords

Data Engineering ExpertisePython ProgrammingSQL ProficiencyContainerization (Docker, OCI)Modern Data Stacks (Snowflake, dbt, Airflow)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ArchitectureTesting Best PracticesPipeline ReliabilityDocumentation Standards

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

MySQLPostgresSnowflakeBigQueryTerraformKubernetes (K8s)

Industry Keywords

Data SystemsData SolutionsData-Driven CultureTechnical StrategyAnalytics

Tech Stack

Tools & technologies

AirflowBigQueryDockerGoKubernetesMySQLPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Benefits

Comp & perks

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)
In-office workspace (San Francisco & Chicago)
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