Principal Data Engineer - Battery Storage

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💎 Seniority level: Principal, 8 years

📍 Location: United States, Canada

🔍 Industry: Energy Storage

🏢 Company: Plus Power👥 101-250💰 $98,000,000 Debt Financing about 1 year agoRenewable Energy Battery Energy

🗣️ Languages: English

⏳ Experience: 8 years

🪄 Skills: AWSLeadershipPostgreSQLPythonSQLAgileApache AirflowJiraAlgorithmsData engineeringData StructuresRDBMSREST APIPandasCommunication SkillsCI/CDProblem SolvingTerraformTeamworkData visualizationData modelingData analyticsData managementConfluence

Requirements:

8 years of professional experience in SQL and Python programming, along with experience in data engineering tools such as Pandas, Polars, PyArrow, and similar tabular data interfaces
Proven experience designing and implementing scalable distributed systems for critical applications, with a strong emphasis on data integrity and transactional resilience
Demonstrated leadership abilities in technical initiatives, from conception to execution, including effective time management and stakeholder engagement
Excellent written and verbal communication skills, with the ability to collaborate effectively with diverse teams, including distributed teams
Hands-on experience designing, maintaining, and developing applications using relational database systems (RDBMS), preferably PostgreSQL or its variants such as TimescaleDB
Experience designing and supporting business intelligence layers that cater to a wide range of end-users
Experience working in an agile environment. Familiarity with tools such as JIRA and Confluence

Responsibilities:

Collaborate with other technical leaders and business stakeholders at Plus Power to architect and implement critical system components and features
Learn the Data Landscape of Plus Power - SCADA Site Sensor Data, Operational Performance Data, Data from ISO/RTOs, Fundamental Research and Weather Data, other Commodities, etc. and understand their relationships, utility to the business, and potential across internal contexts and teams
Collaboratively build a high quality, expressive Data Model that maps our institutional knowledge onto the raw data we collect, giving it comprehensible and actionable meaning
Drive architectural design and decision making, partnering with client leadership for knowledge sharing and prioritization
Be an implementation champion - hands-on build of critical components or broad-pattern templates - establish reusable solutions to common patterns, guide junior engineers in their application, and evangelize their usage among our more technical clients
Establish, implement, and evangelize best practices in data governance, long-term data asset evolution, and platform usage resource tracking

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