Data Engineer

Beghou Consulting•Rockville, MD

8d•$85,000 - $105,000•Hybrid

About The Position

Beghou is seeking a Data Engineer passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you will design, build, optimize, and support the company's next-generation AI-forward data platform. This platform will enable scalable, secure, and high-performance data solutions that power advanced analytics and machine learning. The ideal candidate thrives in a collaborative environment and enjoys solving complex technical challenges.

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

Nice To Haves

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.

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.