Data Engineer I

Develops simple, well-structured data pipelines and queries using standard frameworks and templates. Codes and tests ETL/ELT components for data ingestion, transformation, and loading across batch or streaming patterns. Executes data quality checks and reconciliation against source systems, and records results. Monitors pipeline schedules, SLAs, and logs, investigates routine failures, and notifies seniors for unresolved issues. Writes dataset lineage, table definitions, and change history in agreed repositories. Collaborates with data analysts, data scientists, and platform engineers to map sources, refine requirements, and validate outputs against acceptance criteria. Applies security, privacy, and governance controls, and updates configurations to comply with standards.

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Bachelor’s degree in computer science, data engineering, information systems, or a related field, or equivalent experience required. Less than 2 years of experience in data engineering, ETL/ELT development, data integration, or a related field required. Certification in cloud, data, or technology fundamentals preferred.

What Cencora offers

Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.