Data Engineer
About The Position
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. This role is responsible for building, optimizing and supporting Beghouâs AI forward data platform. This role requires hands on development in Databricks, Python/Pyspark and cloud environments (AWS or Azure), while adhering to software engineering, CI/CD and security best practices.
Requirements
- Bachelorâs or advanced degree in Engineering, Data Science, Statistics, Computer Science, or related quantitative field.
- 1-3 year of data engineering experience using Python, including pandas and/or PySpark.
- Strong experience with relational databases such as PostgreSQL, Oracle, MySQL, Redshift, or Snowflake.
- Experience with Git-based workflows and CI/CD practices.
- Experience with identity and access management tools (AzureAD/SAML/Okta/OAuth) and cloud security best practices (AWS or Azure).
- Experience with ETL tools (Azure Data Factory, Informatica, SnapLogic, Boomi), preferred.
- Experience with containerization tools (Docker, Kubernetes, AWS ECS), preferred.
- At least 6 months of web application development experience with Flask, Django, JavaScript, Ajax, or CSS/HTML, preferred.
- Experience working with AI tools in development workflows preferred.
- Recognized data engineering certifications preferred (e.g., Databricks Data Engineer, Google Cloud Professional Data Engineer, Azure/Fabric Data Engineer, AWS Certified Data Engineer).
- Life Sciences industry experience, preferred.
Nice To Haves
- Experience with ETL tools (Azure Data Factory, Informatica, SnapLogic, Boomi), preferred.
- Experience with containerization tools (Docker, Kubernetes, AWS ECS), preferred.
- At least 6 months of web application development experience with Flask, Django, JavaScript, Ajax, or CSS/HTML, preferred.
- Experience working with AI tools in development workflows preferred.
- Recognized data engineering certifications preferred (e.g., Databricks Data Engineer, Google Cloud Professional Data Engineer, Azure/Fabric Data Engineer, AWS Certified Data Engineer).
- Life Sciences industry experience, preferred.
Responsibilities
- Works extensively in Databricks, including installing packages, configuring clusters, managing jobs, overseeing user/permission administration, managing Unity Catalog, using Databricks APIs and AI tools, and resolving configuration issues.
- Follows software development best practices including Agile workflows, version control (Git/DevOps), code reviews, testing, and documentation.
- Administers and configure identity/access systems such as AzureAD, SAML, Okta, OAuth, and apply AWS or Azure security best practices.
- Utilizes WYSIWYG ETL tools such as Azure Data Factory, Informatica, SnapLogic, or Boomi.
- Deploys and manages container orchestration environments using Docker, Kubernetes, or AWS ECS.
- Supports web application development using frameworks such as Flask, Django, and front-end technologies like JavaScript, Ajax, CSS/HTML.
- Uses Microsoft Office tools (Excel, PowerPoint, Word) for documentation, reporting, and presentations.
Benefits
- comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account
- generous PTO, company holidays, and paid parental & bonding leave
- 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses
- monthly phone stipend and access to an employee discount program
- mentorship, training, and tuition reimbursement
- charitable donation match
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
