
Senior Analyst, Data Engineering
Dell Technologies · Posted Oct 6
Enterprise infrastructure, personal computers, servers, storage, and cloud technology solutions
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About the role
The Cognitive Data & Analytics (C-DnA) team within Dell Technologies' Service Parts Organization works at the intersection of data engineering, analytics, and cognitive/AI solutions, delivering data-driven insights across the service parts ecosystem. The team is globally distributed and focused on collaboration, ownership, and continuous improvement. This Senior Analyst role designs and optimizes data pipelines, ETL/ELT processes, and data models across SQL, Teradata, and cloud platforms, and builds data-driven applications, APIs, and reporting tools while supporting modernization, documentation, and production support.
What you will do
- Design, develop, and optimize scalable data pipelines, ETL/ELT processes, and data models across SQL, Teradata, and cloud platforms to support high-volume business operations and ensure data quality, integrity, and performance.
- Build and maintain data-driven applications, APIs, automation solutions, and reporting tools that streamline workflows, improve operational efficiency, and support production deployments and issue resolution.
- Partner with stakeholders to translate business requirements into technical solutions, perform data and system analysis, provide actionable recommendations, and communicate insights through clear documentation and reporting.
- Drive continuous improvement by adopting modern engineering practices, supporting modernization and migration initiatives, contributing to team knowledge sharing, operational excellence, governance, and production support.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, with 5–6 years of experience in data engineering, application development, data analysis, or similar technical roles.
- Strong expertise in SQL (SQL Server, Teradata), ETL/ELT development, data warehousing, dimensional modeling, data integration, and data quality analysis.
- Proficiency in Python and/or other programming languages (Java, C#, Scala) with experience building automation solutions, APIs, and data-driven applications.
- Hands-on experience with cloud platforms (preferably Azure), Git, CI/CD pipelines, bulk data processing, performance optimization, and modern engineering practices.
- Excellent analytical, problem-solving, documentation, and communication skills, with the ability to collaborate effectively across global teams and deliver reliable end-to-end solutions.
Preferred qualifications
- Experience in logistics, repair operations, or related operational domains, along with exposure to cloud technologies and certifications such as Azure Data Engineer Associate, Google Certified Data Engineer, or equivalent.
- Familiarity with Agile/Scrum methodologies, modern automation and analytical technologies, and a strong commitment to continuous learning, mentorship, knowledge sharing, and fostering a collaborative team culture.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Dell Technologies
Dell Technologies is a multinational technology company that develops, sells, repairs, and supports computers and related products and services. The company provides foundational infrastructure for enterprises, ranging from personal computers and servers to cutting-edge AI factories and cloud data solutions.
- Industry
- Hardware
- Company size
- 10001+ employees
- Founded
- 1984
- Location
- Round Rock, Texas, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Vice Chairman and Chief Operating Officer
David Kennedy
Chief Financial Officer
John Roese
Global Chief Technology Officer & Chief AI Officer
Jennifer Saavedra
Chief Human Resources Officer
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