Data Engineer, Enterprise Architecture

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.

Position Overview: The Data Engineer should be an experienced hands-on professional responsible for our enterprise data assets. This role involves collaborating with various business organizations to develop timely and useful data pipelines and data lake storage, providing expertise and best practice designs for business groups reuse. Working with the Data Architect and business groups, the Lead Data Engineer will create pipelines, databases, and data lake storage for critical data to be used enterprise-wide by internal business groups and external vendors.

Responsibilities:

• Design, develop, and optimize data pipelines, ensuring high performance and scalability using Azure Cloud technologies.
• Create and maintain data storage solutions, including enterprise data lake house and SQL databases (SQL Server, Azure SQL Server, Azure Synapse).
• Support maintenance and governance of existing data resources and collaborate with cross-functional teams to implement scalable data solutions.
• Mentor and guide team members on best practices and provide technical leadership in executing data engineering projects.
• Utilize strong development skills in SQL and Python to design and implement effective data solutions.
• Build and maintain our data catalog to track enterprise data assets and ensure proper security from databases to data lake storage.
• Stay informed of new trends in data processing and storage to identify improvement opportunities.
• Define and document data requirements, create quality checks, and set alarms for monitoring data pipeline issues.
• Collaborate with stakeholders to translate business needs into technical specifications and leverage external partnerships for enhanced delivery capabilities.

Minimum Qualifications:

• 5+ years of experience in data engineering, including ETL processing, relational database tools, and data warehousing (SQL Server, SSIS, Synapse, & Databricks).
• Bachelor's Degree in Computer Science or related field.
• Proven hands-on experience with Azure Cloud technologies, specifically ADF, Synapse, and SQL Server.
• Expert in SQL and a data manipulation language, preferably Python.
• Demonstrated experience with data lake stores and the ability to mentor other team members in best practices.
• Understanding of data warehousing concepts and commercial ETL platforms.
• Excellent communication skills and strong organizational abilities to manage tasks and projects.
• Eligible to work in the United States without the need for employer visa sponsorship now or in the future.

Preferred Qualifications:

• Familiarity with Snowflake and exposure to relevant data technologies such as Azure Fabric.

Salary Range: $116,000 - $141,000

Benefits: Eligible for medical, dental, vision, 401(k), bonus, paid time off, etc.

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