Data Engineer, Enterprise Analytics and A.I.

Invenergy drives innovation in energy. Powered by decades of entrepreneurial experience and unparalleled execution, we solve the energy challenges facing our customers and communities. We provide power generation and storage solutions at scale around the world to create a cleaner energy future. We develop. We build. We own. We operate. We are Invenergy.

This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.

Job Description

Position Overview

As a Data Engineer on Invenergy’s Enterprise Analytics & AI team, you will play a key role in designing, building, and optimizing the data infrastructure that powers enterprise-wide analytics and AI solutions. This role is essential to enabling efficient, reliable, and secure access to data for business users, data scientists, and application developers. As a member of the team, you will collaborate with internal stakeholders and technology teams to implement modern data architecture, streamline data workflows, and support the deployment of scalable machine learning models.

Core Responsibilities

• Work with domain experts across the organization to develop data pipelines and ETL processes to ingest, transform, and curate data from various structured and unstructured sources to support the efforts of the Enterprise Business Analysts and Data Scientists.
• Build and optimize data architecture and processes to support advanced analytics and AI use cases.
• Build automated workflows to reduce manual work and improve efficiency
• Collaborate with data scientists and business analysts to ensure the availability, quality, and usability of data for modeling and reporting.
• Establish and enforce data governance, security, and privacy standards in collaboration with IT and compliance teams.
• Evaluate and adopt emerging technologies to enhance Invenergy’s enterprise data platform and analytics capabilities.
• Effectively communicate technical data concepts to non-technical audiences.
• Navigate a variety of stakeholders and competing priorities. Right-size solutions based on the need and priority of the task.

Required Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 4+ years of experience in data engineering, software engineering, or related roles with demonstrated success in production-level data systems; or an advanced degree with 2+ years of directly relevant experience.
• Proficiency in SQL and working with relational databases (e.g., PostgreSQL, SQL Server).
• Experience with Python or another high-level programming language for scalable data processing and applying software engineering principles.
• Experience with Microsoft Power Platform and Integration tools.
• Experience with ingesting data through third party APIs.
• Experience with cloud data platforms, preferably Azure and Paas Instances.
• Familiarity with Databricks environment.
• Strong understanding of modern data architecture and tools.
• Experience with version control, CI/CD, and infrastructure automation tools.
• Solid knowledge of data security, quality, and lifecycle management practices.
• Eligible to work in the United States without the need for employer visa sponsorship now or in the future.

Preferred Skills

• Experience supporting AI/ML workflows, including feature engineering, data labeling, and model serving infrastructure.
• Proficiency with data cataloging and metadata management tools.
• Exposure to data mesh, data fabric, or event-driven architectures.
• Experience working in agile development environments and collaborating with cross-functional teams.
• Knowledge of compliance frameworks related to data management.
• Familiarity with the energy sector.
• Experience on enterprise-wide data team.

Base Pay

$90,000.00 - $115,000.00 USD Annual
Bonus: 10% - 25%

The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.
 
In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.
 
Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, profit sharing, paid time off, etc.

Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.