Analytics Software Engineer

Job Description

If you have a desire to grow with a dynamic company making a major contribution to renewable energy, have great advancement opportunities as we expand our solutions worldwide, and thrive in a fast paced, exciting environment, then this opportunity with WindESCo is for you.

WindESCo is a rapidly growing company helping to create a better planet by increasing the green energy output from existing wind farms. We do this by combining the power of subject matter expertise, automation, machine learning and IIoT. Our solutions are currently optimizing wind plants in 12 countries across 4 continents. We have an immediate opening for an Analytics Software Engineer in our Software Engineering team with the option to work remotely or at our headquarters in Burlington, MA. We are looking for candidates that think big, can thrive in our team-oriented culture and want to help change the world.

Permanent US work authorization is required (US citizen, green card, or equivalent). To learn more about WindESCo, please visit windesco.com or view our corporate video.Analytics Software Engineer

We are looking for an Analytics Software Engineer to expand and enhance our software systems that detect and recommend fixes for issues that prevent turbines from producing to their full potential. At WindESCo you will be expected to innovate, demonstrate superiority of potential innovations through rigorous testing and validation, and execute by turning those innovative concepts into production systems.

Intellectual curiosity to explore, understand, and improve our product is key to success at WindESCo. Critical for this role is a mindset focused on making continuous incremental improvements toward the goal of improved efficiency, reliability, and scalability. You should be results-driven and excel at breaking problems down into pieces and executing each of them while being mindful of the overall objective.Job responsibilities

Create software that detects actionable turbine issues from SCADA data, models their impact on performance and reliability, and provides evidence to help with their resolution.

Help maintain and continuously improve/simplify the WindESCo analytics system and its API.

Write production quality code with high standards for quality, understandability, and maintainability.

Use Git version control to effectively collaborate with other team members via GitHub.

Review and help other team members improve their contributions to the codebases.

Stay current on state-of-the-art data analytics tools and how they might improve WindESCo products.Minimum qualifications

Advanced degree in STEM and at least 3 years experience developing analytics software in Python.

Working knowledge of wind energy and wind turbine fundamentals.

Experience with scientific computing in Python including NumPy, SciPy, Pandas, Jupyter Notebook.

Knowledge of data science and machine learning tools and best practices.

Knowledge of data visualization tools and techniques.

Experience in collaborative software development using version control (Git or equivalent), automated testing, CI/CD.

Experience with software documentation, training, and support.

Eligible to work in the US.Preferred qualifications

The ideal candidate will have one or more of the following:

Extensive knowledge of wind plant data, wind turbine design, or operations of a wind plant.

Experience building/running systems with AWS cloud infrastructure.

Experience working with big data tools such as Spark, Dask, and Ray.

Experience with containerized applications and orchestration, e.g., Docker, Kubernetes.

Contributions to open source software projects.

Cursory knowledge of UX design principles.

Basic knowledge of the Vue.js front end framework.Benefits

WindESCo provides competitive compensation plans. In addition, employees receive excellent health and dental insurance, 401k, and paid time off.

WindESCo has established a progressive workplace that is collaborative and team focused. If you believe you would be an excellent fit and would like to join the WindESCo team, please submit your application.

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