Note: Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus or commissions.
CPower is the leading, national distributed energy resources monetization and Virtual Power Plant provider, creating the Customer-Powered Grid® that will enable a flexible, clean and dependable energy future. With ~7.0 GW of capacity at 29,000+ sites across the U.S., we unlock the full value of DERs to strengthen the grid when and where reliable, dispatchable resources are needed most. CPower is based in Baltimore, MD., and is owned by LS Power, a development, investment and operating company focused on the power and energy infrastructure sector.We are looking for a Data Engineer who will bring a strong background in software development and data engineering and passion for building scalable data solutions.
This role is an instrumental part of our cross-functional team which designs, develops, and implements ETL processes, data pipelines, and data models to support our data initiatives.
This is a position for candidates located in the DMV (DC, Maryland, Virginia) area with a preference for those able to report to our Baltimore office at least a few times a month.
Essential Duties and Responsibilities
- Develop and maintain a robust infrastructure and software architecture for data processing.
- Design, develop and implement scalable data pipelines and ETL processes to support data ingestion, integration, and transformation, including workload and data management.
- Implement and optimize data models to ensure efficient data curation, storage, and retrieval.
- Ensure data quality and integrity by implementing robust testing and validation procedures.
- Monitor and troubleshoot data pipelines and infrastructure to proactively identify and resolve issues and to ensure high availability and performance.
- Collaborate with data scientists, analysts, and product managers to understand data requirements and transform raw data into data products that drive valuable insights.
- Work with stakeholders including technical, product, business, and executive teams to assist with data related technical issues.
- Integrate models and data science solutions into the data layer and associated technologies.
- Stay up to date on emerging data engineering technologies and best practices to continuously improve our data solutions.
Requirements
- Bachelor’s degree in Data Science, Data Engineering, Computer Science, or a related field.
- 5+ years of professional experience in software development and data engineering.
- Strong proficiency in programming languages such as C#, Python, R, or KustaQuery Language.
- Experience with Azure cloud-based data infrastructure and services, with a preference for Azure experience.
- Experience with data modeling, data pipelines, data warehousing solutions and ETL tools such as Azure Data Factory, Airflow, etc.
- Experience with data visualization tools such as Power BI or Tableau.
- Experience with CI/CD pipelines and version control systems such as Azure DevOps.
- Proficiency in SQL and experience with relational databases (preferred experience with SQL Server and Oracle).
- Strong problem-solving skills, keen attention to detail and the ability to work in a fast-paced, dynamic environment.
- Excellent communication and collaboration skills with the ability to convey complex technical concepts to non-technical stakeholders.
- Team player with ability to work effectively in a collaborative team environment.
- All applicants must be able to provide documentation that they are legally eligible to work in the United States for an extended period, and will not now, or in the future, require sponsorship for employment visa status to work legally for our Company in the United States.
Preferred Qualifications
- Experience with machine learning and data science tools and techniques.
- Knowledge of data governance and data security best practices.
- Experience with real-time data processing and stream processing technologies.
- Experience with big data technologies such as Databricks, Snowflake, Hadoop, Apache Spark, etc.
- Certifications in data engineering, data analytics or data science from reputable organizations.
- Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
Benefits
Unique opportunity to work at a successful, growing company with a strong entrepreneurial spirit. We focus heavily on developing our employees and linking successes to our core values. CPower offers a great benefits package that includes medical, dental, vision, 401K, vacation, up to $10,000 per calendar year in tuition reimbursement, etc. CPower’s leadership prides itself on maintaining a rewarding culture, and always striving to offer a great team-member experience.CPower is committed to hiring and retaining a diverse workforce.
We are proud to be an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. We believe that diversity and inclusion among our team members is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.
125000.00 To 140000.00 (USD) Annually
