Data Engineer

About the role

Beghou is seeking a Data Engineer to join our team. This role is part of a broader effort to enhance our AI-forward data platform, which supports advanced analytics and machine learning across life sciences companies.

Responsibilities

• Design, develop, optimize, and support our next-generation 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
• Evaluate and incorporate AI-assisted development tools into engineering 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
• Strong experience with relational databases such as PostgreSQL, Oracle, MySQL, Amazon Redshift, or Snowflake
• Hands-on experience with Databricks and modern cloud platforms (AWS and/or Azure)
• 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

Benefits

We offer a competitive compensation package and a full complement of benefits, including:

• Health & Wellness: Comprehensive medical, dental, and vision insurance, life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account
• Work-Life Balance: Generous PTO, company holidays, and paid parental & bonding leave, along with a flexible hybrid work policy
• Financial Wellness: 401(k) and employer match, tax-free commuter, health, and childcare accounts, performance bonuses, and a monthly phone stipend
• Growth & Giving Back: Mentorship, training, and tuition reimbursement, as well as a charitable donation match
• Culture & Values: A collaborative, innovative, and inclusive workplace culture

Pay

A reasonable estimate of the current range is $85,000 to $105,000. We are currently unable to consider candidates who require or will require sponsorship for work authorization in the future.