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# Data Engineer

- **Company:** BEGHOU CONSULTING
- **Location:** Princeton, NJ, United States
- **Experience:** Experienced
- **Salary:** $85,000.0 - $105,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Ajax (Programming Language), Amazon Web Services, Automation of Tests, Microsoft Azure, Cascading Style Sheets (CSS), Cloud Computing Security, Cloud Engineering, Computer Programming, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Relational Databases, Web Development, Django Web Framework, Identity and Access Management, Python (Programming Language), PostgreSQL, MySQL, OAuth, Oracle (Applications), Azure Active Directory, Cloud Services, Security Assertion Markup Language (SAML), Secure Coding, Software Engineering, Data Processing, Google Cloud, Okta, Azure Data Factory, Informatica Powercenter, Flask (Web Framework), Snowflake, Boomi, Informatica Cloud, AWS ECS, Git, Pandas, Containerization, Pyspark, Kubernetes, Information Technology, Software Version Control, Data Pipelines, Docker, Amazon Redshift, Databricks
- **Published:** July 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e9f912a249dfd587

## About the Role

* Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field.
 * 3+ years of professional data engineering experience.
 * Strong programming experience with Python, including pandas and/or PySpark.
 * Hands-on experience with Databricks and modern cloud platforms (AWS and/or Azure).
 * Strong experience with relational databases such as PostgreSQL, Oracle, MySQL, Amazon Redshift, or Snowflake.
 * Experience using Git-based source control and modern CI/CD practices.
 * Experience with identity and access management technologies such as Azure AD, Okta, OAuth, or SAML.
 * Knowledge of cloud security best practices.

Preferred Qualifications

 * Experience with ETL platforms such as Azure Data Factory, Informatica, SnapLogic, or Boomi.
 * Experience with containerization technologies including Docker, Kubernetes, or AWS ECS.
 * Experience developing web applications using Flask, Django, JavaScript, HTML/CSS, or Ajax.
 * Experience incorporating AI-assisted development tools into engineering workflows.
 * Industry certifications such as:
 * Databricks Certified Data Engineer
 * AWS Certified Data Engineer
 * Microsoft Azure/Fabric Data Engineer
 * Google Cloud Professional Data Engineer
 * Experience in the life sciences, healthcare, or pharmaceutical industry.

## Description

* Build scalable data pipelines and ETL/ELT workflows using Databricks, Python, and PySpark.
 * Develop cloud-native data solutions on AWS and/or Azure.
 * Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices.
 * Optimize data processing performance, reliability, and scalability.
 * Collaborate with data scientists, software engineers, and business stakeholders to deliver high-quality data products.
 * Apply cloud security and identity management best practices across the platform.
 * Evaluate and incorporate AI tools into development workflows to improve engineering productivity and solution quality.
 * Contribute to continuous improvement of engineering standards, architecture, and platform capabilities.


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