Opportunity Information:
Data Pipeline Development and Management:
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Build and maintain robust ETL/ELT pipelines to ingest data from diverse systems (ERP, CRM, supply chain, sales, external APIs, etc.).
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Create and manage synthetic and derived features to support AI and analytics use cases.
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Ensure data quality, consistency, and lineage across all pipeline stages.
Systems Integration and Modernization:
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Connect legacy systems and databases with modern cloud-based platforms (e.g., Snowflake, Databricks, AWS).
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Engineer real-time and batch data flows, including support for streaming data where appropriate (e.g., Kafka, Kinesis).
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Partner with IT to improve access to core systems and modernize data interfaces.
Data Governance and Reliability:
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Implement monitoring, validation, and observability frameworks for data flows.
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Ensure compliance with data privacy, retention, and security policies.
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Maintain documentation for data sources, transformations, and pipeline dependencies.
Collaboration and Enablement:
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Work closely with data scientists and analysts to translate business and model requirements into engineered datasets.
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Create reusable data assets and modular pipelines to support experimentation and production deployment.
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Contribute to team standards for code quality, version control, and DevOps practices.
Location Type: On-Site Pay Range: USD $125,000.00 - USD $160,000.00 /Yr. Reasonable Accommodation Notice:
Worldpac is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, or veteran status.
Worldpac is committed to providing reasonable accommodationsto qualified individuals with disabilities. If you require accommodations to perform the essential functions of the job, please contact recruitment@worldpac.com for assistance.
