Data Engineer at Beghou Consulting | New Jersey | Rezi

Data Engineer at Beghou Consulting

Data Engineer

Beghou Consulting · New Jersey

Today

Data Engineer

Beghou Consulting · New Jersey

10 hours ago
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About the Role

We are looking for a Data Engineer who is passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you'll design, build, optimize, and support our next-generation AI-forward data platform, enabling scalable, secure, and high-performance data solutions that power advanced analytics and machine learning. If you thrive in a collaborative environment and enjoy solving complex technical challenges.

Responsibilities

  • Design, develop, optimize, and support Beghou's AI-forward data platform.
  • 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.

Requirements

  • 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.
  • 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.
  • Must be legally authorized to work in the United States.
  • Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization.

Skills

  • Python
  • PySpark
  • Databricks
  • AWS
  • Azure
  • PostgreSQL
  • Oracle
  • MySQL
  • Amazon Redshift
  • Snowflake
  • Git
  • CI/CD
  • Azure AD
  • Okta
  • OAuth
  • SAML
  • Azure Data Factory
  • Informatica
  • SnapLogic
  • Boomi
  • Docker
  • Kubernetes
  • AWS ECS
  • Flask
  • Django
  • JavaScript
  • HTML/CSS
  • Ajax

Location

  • Evanston, Illinois

Work Type

  • Hybrid

Experience Level

  • 3+ years of professional data engineering experience

Education Level

  • Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field.

Salary/Compensations

  • $85,000 to $105,000

Benefits

  • Comprehensive medical, dental, and vision insurance
  • Life & AD&D coverage
  • Disability insurance
  • Lifestyle Wellness Account
  • Generous PTO
  • Company holidays
  • Paid parental & bonding leave
  • 401(k) and employer match
  • Tax-free commuter, health, and childcare accounts
  • Performance bonuses
  • Monthly phone stipend
  • Employee discount program
  • Mentorship
  • Training
  • Tuition reimbursement
  • Charitable donation match

About the Company

  • Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology.
  • From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios.
  • Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more.
  • Headquartered in Evanston, Illinois, we have 10 global offices.
  • Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.
  • At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge.
  • Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!

Equal Opportunity

  • We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view.
  • We seek candidates who will add to our culture and support the company’s vision of a diverse, equitable, inclusive, and collaborative workplace.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status.
  • We are proud to be an equal-opportunity employer.
  • If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply.
  • You may be just the right candidate for this or other roles.