Data Engineer

San Diego Community Power • San Diego, CA

7d • Hybrid

About The Position

The San Diego Community Power (SDCP) is seeking a seasoned Data Engineer to join our growing team of analytics experts who will be responsible for designing, maintaining, expanding, and optimizing our data infrastructure for data collection, management, transformation, and access. A key priority of this role will be to assist in SDCP’s development of centralizing its data eco-system to allow for creation of pipelines that convert raw data into usable formats for data analysts and other data consumers to utilize. The Data Engineer will handle the core data aspects of software engineering and data science and utilize software engineering principles to develop algorithms that automate the data flow process. They will collaborate with data and system analysts to build machine learning and analytics infrastructure from testing to deployment.

Requirements

• Advance working knowledge of SQL, experience working with relational databases, query authoring (SQL) and working familiarity with various databases.
• Demonstrated experience in developing API and integrations to support analytics in cloud environment.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Good understanding of data architecture, data design, data warehousing and data modeling concepts.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.

Nice To Haves

• Experience in the energy sector and/or supporting the implementation of programs funded by California state agencies (e.g., California Public Utilities Commission, California Energy Commission, California Air Resources Board).
• Ability to strongly represent the organization in various professional engagement settings from local to national convenings (conferences, workshops, executive meetings, etc.).

Responsibilities

• Building and maintaining a centralized cloud-based data infrastructure for optimal extraction, transformation, and loading of data from a wide variety of sources.
• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Developing data tools and APIs for data analysis.
• Deploying and monitoring machine learning algorithms and statistical methods in production environments to solve organizational needs.
• Ensuring data accessibility and security and implementing company data policies regarding data privacy and confidentiality.
• Improving data systems reliability, speed, and performance.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer trends, operational efficiency, and other key business performance metrics.
• Collaborating with other internal teams, data analysts, and other stakeholders to understand and optimize how data can be leveraged to meet business needs.
• Assist in drafting data and analytics’ solicitations and in the selection of consultants.
• Assist with drafting staff reports and presentations for Board and Committee meetings.
• Performs other related duties and responsibilities as required.

Benefits

• Group health benefits, including medical, vision, and dental insurance, for eligible FT employees.
• $100,000 Life & AD&D policy
• Short-term disability (STD) and long-term disability (LTD) coverage that is 100% paid by SDCP.
• 457(b) plan for employee contributions
• SDCP contributes 10% of eligible compensation to the employee’s Money Purchase Plan.
• 11 holidays per year
• Paid winter holiday (between 12/24-12/31)
• 160 hours of accrued paid time off per year (increases with time in service)
• 96 hours per year of accrued paid sick leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior