45 applicants

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Company

Original Job Post

San Diego Community Power · 1 week ago

Data Engineer

San Diego, CA

Full-time

Hybrid

Senior Level

$110K/yr - $136K/yr

5+ years exp

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Responsibilities

Building and maintaining a centralized cloud-based data infrastructure for optimal extraction, transformation, and loading of data from various sources.

Developing data tools and APIs for analysis.

Deploying and monitoring machine learning algorithms in production environments.

Ensuring data accessibility, security, and compliance with data policies.

Improving data systems reliability, speed, and performance.

Building analytics tools for actionable insights.

Collaborating with internal teams and stakeholders to leverage data for business needs.

Assisting in drafting data and analytics solicitations.

Drafting staff reports and presentations for meetings.

Performing other related duties as required.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLRelational DatabasesQuery AuthoringAPI DevelopmentCloud EnvironmentBig DataData PipelinesData ArchitectureData WarehousingData ModelingMessage QueuingStream ProcessingData StoresData DesignMetadata ManagementDependency ManagementWorkload ManagementProblem-SolvingAnalytic SkillsProject ManagementOrganizational SkillsCross-Functional CollaborationEnergy SectorProgram ImplementationProfessional EngagementData EngineerComputer ScienceStatisticsInformaticsInformation Systems

Required

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.

Preferred

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.).

Minimum of five (5) years of professional experience in a Data Engineer role, preferably in the energy industry with a graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

Experience with big data tools: Hadoop, Spark, PowerBI, Kafka, etc.

Experience with AWS, Azure and Google Cloud services.

Experience with relational SQL and NoSQL databases.

Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

Experience with open-source technologies: Python, Pytorch, Flask, Tensorflow or Keras

Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Experience with object-oriented/object function scripting languages: Java, C++ etc.

Experience with batch, micro-batching and real-time data ingestion methodologies.

Experience with GitHub or similar code repositories