Job Description
This job was selected by the SpringCube team to help AI, Data and Cloud Engineers discover relevant San Francisco Bay Area employers. Sign up to view the full employer details and apply directly with the hiring company.
Company Overview
A rapidly growing GridTech company is helping accelerate global electrification and decarbonization through an AI-powered vertical SaaS platform for electric utilities. Its technology enables utilities to modernize grid operations, accelerate distributed energy resource (DER) interconnection, and unlock dynamic grid capacity.
Key Responsibilities
Customer Implementations
- Lead end-to-end data implementation engagements with utility customers, from data requirements workshops through successfully delivering live data into the platform.
- Set up and configure data infrastructure in accordance with established implementation processes.
- Map incoming customer data to platform schemas and develop code to transform customer datasets.
- Validate transformed data against established quality standards.
- Review incoming customer data against expected schemas and quality requirements.
- Provide customers with clear and constructive feedback regarding data quality and integration issues.
- Run and monitor the data pipelines required to support successful implementations.
- Drive customer data deliveries through to completion while maintaining project momentum.
- Triage and resolve implementation issues while coordinating with customers and internal stakeholders.
- Manage complex implementation situations involving incomplete data, shifting priorities, competing demands, and tight timelines.
- Communicate technical requirements and project status clearly throughout customer engagements.
Product Support & Process Improvement
- Identify recurring patterns across customer implementations and communicate insights that can influence product direction.
- Partner with data engineering teams to productize implementation and transformation logic.
- Convert bespoke implementation code into repeatable, scalable, and platform-ready tooling.
- Scope data requirements needed to support new product capabilities.
- Contribute to internal documentation, implementation playbooks, and reusable tooling.
- Identify manual processes that can be automated and take initiative to improve implementation efficiency.
- Help create scalable processes that make future customer implementations faster and more consistent.
- Leverage modern data and AI-assisted development tools to improve productivity and engineering workflows.
Required Qualifications
- 4+ years of professional experience in data engineering, analytics engineering, technical consulting, or a related role combining hands-on data work with customer or stakeholder engagement.
- Advanced SQL skills with demonstrated experience analyzing, validating, and transforming complex or messy datasets.
- Proficiency in Python for data transformation, validation, and scripting.
- Experience with dbt or similar ELT/ETL frameworks and modern data pipelines.
- Ability to lead customer-facing technical engagements and clearly communicate data requirements.
- Demonstrated ability to manage expectations and drive technical deliveries through completion.
- Experience with cloud-based data infrastructure and modern software development practices.
- Familiarity with Git, command-line environments, and collaborative codebases.
- Experience building internal tools, automating manual processes, or leveraging AI-assisted development tools to improve efficiency.
- Ability to work effectively in ambiguous and evolving customer data environments.
- Proactive and self-directed approach with the ability to identify priorities and drive work to completion without close supervision.
- Strong communication, problem-solving, and stakeholder management skills.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.
1.No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2.No Client Relationship: This company is not a client of SpringCube unless stated.
3.To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4.No Liability: SpringCube is not liable for inaccuracies.
