4 months ago
Austin, TX, USAMid Level
Responsibilities
- Lead end-to-end data implementation engagements with utility customers, from requirements workshops through production data delivery.
- Configure data infrastructure and map incoming customer data to Gridsight schemas.
- Develop transformation code and validate outputs against data quality standards.
- Review customer data, communicate issues clearly, and drive deliveries to completion.
- Run and monitor implementation data pipelines and triage delivery issues.
- Identify patterns across engagements and partner with data engineering to productize implementation logic.
- Build internal tooling, documentation, playbooks, and automation that improve implementation efficiency.
Requirements
- 4+ years of professional experience in data engineering, analytics engineering, technical consulting, or a similar hands-on customer-facing data role.
- Advanced SQL skills and experience analyzing, validating, and wrangling complex or messy datasets.
- Proficiency in Python for data transformation, validation, and scripting.
- Experience with dbt or similar ELT/ETL frameworks and data pipelines.
- Ability to lead customer-facing technical engagements, manage expectations, communicate requirements, and drive delivery.
- Experience with cloud data infrastructure, Git, command-line environments, and collaborative codebases.
- Experience building internal tools, using AI-assisted development tooling, or automating manual processes.
Benefits
- Highly competitive salary, equity, and comprehensive benefits package.
- Rapidly scaling venture-backed company with a mission focused on grid modernization and decarbonization.
- All-expenses-paid trips to Australia to co-work with colleagues.
- Flexible hybrid working environment with offices in San Francisco and Austin.
About Gridsight
Gridsight builds an AI-powered SaaS platform that gives electric utilities grid insights to improve reliability, optimize operations, and integrate distributed renewables. Its subscription software and supporting services help utilities analyze operational data, enhance observability, and automate planning workflows. Founded in 2020 and headquartered in Sydney, Australia, the company is privately held.