Data Engineer

Job Description Summary:

As a Data Engineer, you will play a crucial role in supporting our data engineering team. Your primary responsibility will be to help design, develop, and maintain data pipelines and ETL (Extract, Transform, Load) processes. You will work to ensure efficient data flow, data quality, and system reliability.

This position is required to be onsite at the Bend, OR office.

Job Description:

* This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned

Position Responsibilities and Duties:

Data Pipeline Development

• Collaborate with the senior data engineer to design and implement data pipelines that extract, transform, and load data from various sources into our data warehouse.
• Optimize data pipelines for performance, scalability, and reliability.
• Monitor and troubleshoot pipeline issues, ensuring data consistency and accuracy.
• Document ETL/ELT processes and data lineage.

Database Management

• Assist in data model design and schema creation.
• Perform routine database maintenance tasks such as backups, indexing, and query optimization.

Data Quality Assurance

• Validate data quality by implementing data validation checks and monitoring data anomalies.
• Administer change management policies and procedures and conduct tabletop exercises to assess ETL process effectiveness.
• Work closely with data analysts and business stakeholders to understand data requirements and ensure accurate data delivery.

Collaboration and Communication

• Communicate effectively with cross-functional teams, including data scientists, analysts, and software engineers.
• Assist in documenting technical specifications, data catalogs, and process workflows.
• Collaborate with the Software Development and Business Applications teams to implement changes based on new requirements, ensuring robust design is maintained.

Continuous Learning and Skill Development

• Stay up to date with industry trends, best practices, and emerging technologies related to data engineering.
• Participate in training sessions and workshops to enhance your technical skills.

Minimum Skills or Experience Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, or equivalent technical degree
• 3+ years within a professional business data engineering role
• Knowledge of business intelligence/reporting technology
• Experience with SQL and relational databases (e.g., PostgreSQL, MySQL)
• Experience with cloud solution technologies such as Azure or AWS
• Knowledge of dimensional modeling and schema design
• Familiarity building data warehouses and data marts
• Exposure to version control systems (e.g., Git)
• Experience working with diverse corporate functions and understanding diverse data needs
• Excellent verbal and written communication skills
• Proficient use of Microsoft office tools including Word, Excel, Outlook, SharePoint, Power BI
• Experience using task management tools like but not limited to; Jira, Confluence, MS Teams, or others
• Strong problem-solving skills and attention to detail
• Eagerness to learn and grow in a dynamic data engineering environment
• Entrepreneurial spirit

SOLV Energy Is an Equal Opportunity Employer

At SOLV Energy we celebrate the power of our differences. We are committed to building diverse, equitable, and inclusive workplaces that improve our communities. SOLV Energy prohibits discrimination and harassment of any kind against an employee or applicant based on race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, national origin, or ethnicity, mental or physical disability, veteran status, parental status, or any other characteristic protected by law.

Benefits:
Employees (and their families) are eligible for medical, dental, vision, basic life and disability insurance. Employees can enroll in our company’s 401(k) plan and are provided vacation, sick and holiday pay.

Compensation Range:

$103,430.00 – $129,288.00

Pay Rate Type:

Salary