Job description

About SkySpecs: At SkySpecs, our mission is to simplify renewable asset management so less can do more for the planet. SkySpecs is helping to make this possible by automating the operations and maintenance of wind farms using advanced robotics paired with our custom-built asset performance management software, Horizon. SkySpecs launched the world’s first completely autonomous blade inspection product in 2016 with a custom-designed drone system. Since then, SkySpecs has inspected over 90% of the US wind turbines and expanded globally, becoming the world leader in understanding the health of turbine blades. Identifying issues with turbine blades is only the first step. In 2019, SkySpecs launched Horizon, a platform for SkySpecs to offer a multi-layered solution for customers that includes: data collection, wind turbine blade engineering expertise, and a place for all stakeholders to collaborate to manage and analyze massive amounts of data, spot trends, and create plans for high-cost repair campaigns. In 2021, SkySpecs acquired two companies specializing in wind turbine drivetrain monitoring and financial management, further expanding our asset management portfolio. Ultimately, this will help reduce the cost and risk of operations for the industry. What will you be getting into? Be part of a team of Product Managers, Software Developers, Leads, and Engineers building and operating a cutting-edge analytics and decision management platform for the renewable energy industry. As a Data Infrastructure & Integration Engineer, you will: • Configure, deploy, and maintain tools and infrastructure that enable the flow of CMS, SCADA, and other data into our cloud-based platforms, including Horizon CMS • Detect, track, and resolve data connectivity issues across the entire fleet of customer data system integrations • Help maintain underlying AWS infrastructure for data connectivity • Collaborate with service delivery teams to ensure high-quality, reliable data is available for their analysis and reporting • Respond to data connectivity trouble tickets and work the issues to completion • Work with the connectivity team to create and improve processes needed for increased scalability and efficiency Requirements of the job: • Bachelor's degree or equivalent • 3+ years of work experience in a technical engineering, operations, or analyst role • Strong Unix/Linux command line skills • A basic understanding of data protocols, networking concepts, and IT security practices • Fluency in English and excellent communication skills • Ability to work outside normal business hours, when needed, to support the global team Bonus Points: • Experience in the wind power industry, especially drivetrain condition monitoring • Proficiency with AWS tools and services like S3, EC2, VPC, and CloudWatch • Experience with data analysis tools and scripting, e.g. using Python, SQL • Capability and willingness to use AI tools, such as advanced LLMs, to increase productivity • Degree in Engineering, or applicable technical degree from an accredited university Perks of the Job: • Time Off: Generous leave policy—among the best in the industry. • Global Team: Work with teammates across 5 countries and diverse backgrounds. • Impact: Contribute to building the backbone of clean energy digital infrastructure.

Requirements

Must-haves

Bachelor's degree or equivalent
3+ years of work experience in a technical engineering, operations, or analyst role
Strong Unix/Linux command line skills
A basic understanding of data protocols, networking concepts, and IT security practices
Fluency in English and excellent communication skills
Ability to work outside normal business hours, when needed, to support the global team
Time Off: Generous leave policy—among the best in the industry.
Global Team: Work with teammates across 5 countries and diverse backgrounds.
Impact: Contribute to building the backbone of clean energy digital infrastructure.

Nice-to-haves

Experience in the wind power industry, especially drivetrain condition monitoring
Proficiency with AWS tools and services like S3, EC2, VPC, and CloudWatch
Experience with data analysis tools and scripting, e.g. using Python, SQL
Capability and willingness to use AI tools, such as advanced LLMs, to increase productivity
Degree in Engineering, or applicable technical degree from an accredited university

Application prep

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