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Senior Data Engineer

Job in Franklin Lakes, Bergen County, New Jersey, 07417, USA
Listing for: Becton Dickinson
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Job Summary

We are seeking a highly skilled and experienced Senior Data Engineer to join our team at Becton, Dickinson and Company. In this role, you will be instrumental in designing, building, and maintaining robust and scalable data infrastructure and pipelines, leveraging cutting‑edge Azure technologies to support our data‑driven initiatives. You will ensure data quality, compliance, and efficient data flow across our systems.

Responsibilities
  • Design, develop, and optimize scalable data pipelines and ETL processes using Microsoft Azure Databricks and other Azure services.
  • Implement and manage data infrastructure within the Azure cloud environment, including Data Lake solutions.
  • Utilize Databricks Platform and Databricks Unity Catalog for data governance, metadata management, and data sharing.
  • Develop and maintain Structured Query Language (SQL) scripts for data extraction, transformation, and loading.
  • Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver appropriate data solutions.
  • Ensure data solutions adhere to compliance standards, particularly SOX (Sarbanes‑Oxley Act) regulations.
  • Implement and manage Dev Ops practices and tools, including Azure Dev Ops and Azure Dev Ops Server, for continuous integration and continuous delivery (CI/CD) of data solutions.
  • Contribute to the implementation of Dev Sec Ops  practices to ensure the security of data infrastructure and pipelines.
  • Work with Big Data technologies to process and analyze large datasets efficiently.
  • Participate in code reviews, design discussions, and technical documentation.
  • Troubleshoot and resolve data‑related issues, ensuring data accuracy and availability.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on Big Data and cloud‑based data solutions.
  • Expertise in Microsoft Azure Databricks, including Databricks Platform and Databricks Unity Catalog.
  • Strong proficiency in Structured Query Language (SQL) for complex data manipulation.
  • Extensive experience with Azure Dev Ops and Azure Dev Ops Server for CI/CD and version control.
  • Demonstrated knowledge of Data Infrastructure design and implementation, including Data Lake architectures.
  • Familiarity with compliance standards such as SOX.
  • Experience with Dev Sec Ops  principles and practices.
  • Solid understanding of Windows Azure Cloud services and architecture.
  • Excellent problem‑solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Employment Conditions

We require a minimum of four days of in‑office presence per week to support collaboration and operations. Employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID‑19. Requests for accommodation will be considered pursuant to applicable law.

Location

Primary

Work Location:

USA, NJ – Franklin Lakes.

Benefits

Competitive compensation and benefits package.

Equal Employment Opportunity

Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.

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Position Requirements
10+ Years work experience
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