Data Engineer

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About the Company

30+ years of expertise

strategic insight, advanced analytics, and innovative technology

proprietary

third-party

Mission

🔍 Role Overview

front-end and back-end infrastructure

🧩 Key Responsibilities

• Ensure reliability, stability, and performance of the enterprise data platform
• Demonstrate solid understanding of platform components: data warehouse, monitoring, languages, ETL design, schema design
• Build & enhance data integrations, pipelines, and analytics tools
• Document code, deployments, best practices, and system improvements
• Design & build ETL/ELT systems such as APIs, automated transfer pipelines, and code management solutions
• Serve as a point of contact for data engineering projects and collaborate with consulting, platform, and tech teams
• Participate in brainstorming, designing, and implementing solutions for complex data challenges
• Develop best practice frameworks for data management and advanced analytics pipelines
• Produce high-quality project deliverables, documentation, and presentations
• Handle additional responsibilities as assigned
  

🛠 Technical Requirements

Core Requirements

• 5+ years of experience in data engineering using Python, with strong expertise in pandas or PySpark
• Extensive, hands-on experience with Databricks, including:
• Installing packages
• Cluster configuration
• Job management
• User roles & permissions
• Unity Catalog
• Databricks APIs & AI tools
• Troubleshooting config issues
• Experience with relational databases: PostgreSQL, Oracle, MySQL, Redshift, Snowflake
• Strong grounding in software development fundamentals (Agile, Git, DevOps, testing, documentation)
  

Preferred Skills

• Experience configuring Azure AD/SAML/Okta/OAuth
• Knowledge of AWS or Azure security best practices
• Familiarity with ETL tools: Azure Data Factory, Informatica, SnapLogic, Boomi
• Experience with Docker, Kubernetes, AWS ECS
• At least 6 months of experience in web development using:
• Flask, Django
• JavaScript, AJAX
• HTML/CSS
• Data engineering certifications (Databricks, Google Cloud, Azure, AWS)
• Experience in the Life Sciences industry
• Proficiency in MS Excel, PowerPoint, Word
  

✔ Ideal Candidate

• Strong data engineering fundamentals
• Comfortable working independently and supporting cross-functional teams
• Excellent communication and documentation skills
• Strong problem-solving capabilities
• Ability to thrive in a consulting-oriented, client-focused environment