Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
About the role
- Data Engineer leading development of cloud-native data platform to support vegetation management and advanced analytics at PG&E. Collaborate across teams to integrate data and optimize analytics workflows.
Responsibilities
- Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed.
- Collaborate with cross-functional teams—including data scientists, analysts, and business stakeholders—to understand data requirements and deliver high-quality, analytics-ready datasets.
- Support the deployment of machine learning models by enabling feature pipelines, model input/output data flows, and integration with platforms like SageMaker or Foundry.
- Resolves application programming analysis problems of moderate to complex scope within procedural guidelines. May seek assistance from the supervisor or more skilled programmers/analysts on unusual or especially complex issues that cross multiple functional/technology areas.
- Works on complex data and analytics-centric problems having a moderate impact that require in-depth analysis and judgment to obtain results or solutions.
- Plans work to meet assigned general objectives; progress is reviewed upon completion, and solutions may provide an opportunity for creative/non-standard approaches.
- Communicates (oral and written) recommendations.
- Mentors/guides less experienced colleagues.
Requirements
- BA/BS in Computer Science, Management Information Systems, related field of study, or equivalent experience.
- 5 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
- Familiarity with business intelligence tools such as Power BI, Tableau, or Foundry for data visualization and reporting.
- Knowledge of software engineering principles such as unit testing, CI/CD, and source control.
- Experience working with geospatial data and tools such as ArcGIS.
- Experience building data migration pipelines in Informatica
- Experience with machine learning algorithm deployment.
Benefits
- This job can also participate in PG&E’s discretionary incentive compensation programs
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