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Data Engineer
Job Location:
Job Location:
Newark, DE - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
21 October 2026 (10 hours ago)
Posted:
Application Deadline:
18 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Position Summary:
The Data Engineer will be responsible for supporting and enhancing existing ETL processes for the on- prem data lake (PostgreSQL) while leading the evolution and migration of these processes to Microsoft Fabric. This role will focus heavily on developing and maintaining SQL-based transformation logic to ensure high quality trusted and analytics ready data.
Working closely with the Data Management team the Data Engineer will help identify remediate and prevent data quality issues by encoding validation rules and controls directly into data pipelines. The role will also contribute to the evaluation and implementation of tools and frameworks supporting data governance architecture and data quality as the platform continues to evolve.
Duties & Responsibilities:
- Support and enhance existing ETL pipelines for an onpremises data lake environment primarily backed by PostgreSQL.
- Refactor and migrate data ingestion transformation and orchestration processes to Microsoft Fabric using modern cloud-native patterns.
- Design develop and maintain complex SQL-based transformation logic including views functions and analytical datasets.
- Build and optimize data models to support analytics and reporting use cases including Power BI semantic models.
- Perform aggregations and transformations across multiple data models (e.g. normalized dimensional lakehouse) to enable reliable insights.
- Partner closely with data analytics and reporting teams to understand consumption needs and ensure data is structured for performance usability and scalability.
- Implement and enforce data quality rules validation checks and automated error detection within ETL and transformation workflows.
- Support master and reference data processes including defining data quality criteria uniqueness rules and remediation approaches.
- Collaborate with domain owners and data stewards to analyze root causes of data quality issues and drive corrective actions.
- Monitor cross-domain data provisioning to ensure data is sourced from approved and governed systems.
- Contribute to the evaluation and implementation of data governance architecture and quality tools in partnership with Global Technology teams.
- Document data pipelines transformation logic and architectural decisions to support maintainability and knowledge sharing.
Preferred Qualifications:
The successful candidate brings a structured detail-oriented approach and a hands-on mindset toward advancing the organizations data platform modernization.
- Bachelors degree required.
- Minimum of 3 years of experience in a data engineering or analytics engineering role.
- Strong hands-on experience with SQL including complex transformations performance tuning and data modeling.
- Experience supporting ETL pipelines in an onprem or hybrid data lake environment; exposure to PostgreSQL strongly preferred.
- Experience migrating or modernizing data platforms to Azure and/or Microsoft Fabric (Lakehouse Pipelines or related services).
- Solid understanding of modern data lake and warehousing architectures.
- Working knowledge of data engineering tools and languages such as SQL Python Spark or similar technologies.
- Experience with at least one relational database platform (PostgreSQL SQL Server MySQL).
- Familiarity with data governance data quality or MDM concepts and tooling.
- Experience working in an agile collaborative cross-functional environment.
- Strong written and verbal communication skills; able to translate business requirements into technical solutions.
- Highly analytical detail-oriented problem solver with a proactive selfstarter mentality.
- Comfortable working in evolving environments and translating conceptual requirements into pragmatic scalable solutions.
All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status.
Required Experience:
IC
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