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Pantheon

Software Engineer II - Data Platform

RemoteUnited States only
Published
Role
Data Engineering
Experience
Mid
Employment
Full-time
$116.6k–$162k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Mid-level (Software Engineer II) data engineer with 3–5+ years building production data services. Strong Python and/or Go skills, SQL (MySQL/Postgres) and experience with data warehouses (Snowflake/BigQuery), containerization (Docker/Kubernetes) and IaC (Terraform). Must be US‑based / authorized to work in the US (visa sponsorship not available).

Core skills

SnowflakeData pipelines

Required skills

Python/GoSQLMySQLPostgreSQLBigQueryDockerTerraformKubernetesGitunit testingintegration testingCI/CDloggingmonitoringalerting

Optional skills

dbtAirflowLookerExperience building data pipelines for AI/Machine Learning

What you'll do

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

What they require

  • 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 with containerization (e.g., Docker, OCI), Terraform, and Kubernetes (K8s).
  • Familiarity with modern data stacks (e.g. Snowflake, dbt, Airflow, Looker).
  • Understanding of distributed data systems and trade-offs for high throughput/low latency.
  • Quality mindset: integrate automated test coverage and validation into deployment pipelines.
  • Strong written and verbal communication skills to articulate technical designs and status to technical and non-technical stakeholders.
  • Experience building data pipelines for AI and Machine Learning is a big plus.
  • Visa Sponsorship is not available at this time. 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.

Benefits

  • 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
  • Events and activities both team-based and company wide
Information Technology

Details

Visa sponsorshipNo
$116.6k–$162k/yr