Data engineer

Job Description

As a critical member of the Assurance service team, the Data Engineer will acquire and analyze utility-scale electric power plant process data to develop and deploy machine learning-based forecasting and anomaly detection systems.

Core Competencies

• Self-starting problem-solver, innovative, enterprising, data-driven

• Independent, resourceful, adaptable, and unafraid to fail and try again

• Action-oriented individual who thrives with minimal supervision

• Focused on value (why the client needs our product, value-add prospects, dollar focused, thinking outside the box)

• Willing to learn industry concepts/terminology and understand customer needs

Responsibilities:

• Build, operate, and maintain production deployments of machine learning offerings via established Azure resources

• Problem-solve and modify deployments per specifications

• Remain responsible for deployments and servicing of customer requests

• Clearly and concisely document deployments for each new customer

• Work with domain experts to discover and communicate value-add optimization prospects

Compensation: $120-130k.

Exact compensation may vary based on several factors, including skills, experience, and education.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 4-year STEM degree

• Minimum of 2 years professional experience in a similar role

• Demonstrated expertise in Python, SQL, and APIs

• Azure experience, including Azure Functions, SQL Server, Azure DevOps, and AzureML

• Working knowledge of industrial process time-series data and related quantitative analysis/modeling techniques including machine learning concepts