Full - Stack Data Engineer designing and optimizing complex data solutions for automotive content. Collaborating with teams to enhance user experience across MOTOR's product lines.
About the role
- Senior Data Engineer with PG&E’s Data Analytics and Insights team. Design and develop data pipelines and analytic products to advance sustainability goals.
Responsibilities
- Work closely with Subject Matter Experts (SMEs) to design and develop data model, data pipelines and front-end applications
- Implement data transformations to derive new datasets or create ontology objects necessary for business applications
- Design and optimize data workflows within Palantir Foundry
- Monitor and debug critical issues such as data staleness or data quality
- Perform impact analysis for ontology or schema changes
- Improve on performance of data pipelines (latency, resource usage)
- Implement data visualizations using Foundry Tools
- Maintain applications as usage grows and requirements change.
- Available for 7x24 operational support.
Requirements
- Bachelors Degree in Computer Science or job-related discipline or equivalent experience
- 5 years experience with data engineering/ETL ecosystems
- Knowledge with commercial visualization tools such as Tableau or Power BI
- Familiarity with common relational database models and proprietary instantiations, such as SAP, Salesforce etc.
- Strong foundation in data modeling, schema design and data quality best practices
- Experience working with cloud technologies (AWS, Azure, or GCP) for data storage, compute, and Integration
- Knowledge of version control / collaboration workflows and best practices
- Familiarity with agile and iterative working methodology
- Excellent communication skills and ability to work cross-functionally with technical and non-technical partners
- Knowledge of Snowflake for data warehousing, including query optimization and cost management
- Familiarity with ETL tools like Informatica (IDMC) for integration workflows
- Knowledge of best practices and applications in UX design
- Data literacy – data analysis and statistical basics to ensure correctness in data aggregation and visualization.
Benefits
- Eligible to participate in PG&E’s discretionary incentive compensation programs
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Principal Data Engineer designing and evolving enterprise data platform. Collaborating with analytics teams to enable AI and data products at American Tower.
BI Data Engineer II supporting scalable Lakehouse data pipelines at Boston Beer Company. Collaborating with stakeholders to drive data ingestion and maintain enterprise data quality.
Senior Data Engineer at A Kube Inc responsible for building and maintaining data pipelines for product performance. Collaborating with product, engineering, and analytics teams to ensure data quality and efficiency.
Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
Data Engineer implementing data pipelines on Snowflake platform with a focus on innovation and collaboration for Zurich's data projects.
Data Engineer engineering DUAL Personal Lines’ strategic data platforms for global insurance group. Providing technical expertise in data engineering and collaborating with internal teams for solution delivery.
Data Engineer role focused on creating and monitoring data pipelines in an innovative energy company. Collaborate with IT and departments to ensure quality data availability in a hybrid work environment.
SQL Migration Data Engineer at Auxo Solutions focusing on Azure SQL/Fabric Lakehouse migrations and building data pipelines. Collaborating on technical designs and data governance for modernization initiatives.
Data Engineer developing cloud solutions and software tools on Microsoft Azure big data platform. Collaborating with various teams for data analysis and visualization in healthcare.