Mango Analytics helps enterprises unlock value from AI and data through pharma-focused consulting and analytics. It delivers AI consulting, data engineering, digital transformation, and IT services to architect and deploy scalable AI systems. Core technologies include AI, machine learning, data analytics, Gen AI, GIS, cybersecurity, software development, and QA automation. Their offerings span pharma clinical and commercial development, prescriber analytics, market research, and self-serve analytics platforms. They serve global enterprises across life sciences, healthcare, and other sectors seeking practical, scalable analytics and responsible AI.
Mango Analytics helps enterprises unlock value from AI and data through pharma-focused consulting and analytics. It delivers AI consulting, data engineering, digital transformation, and IT services to architect and deploy scalable AI systems. Core technologies include AI, machine learning, data analytics, Gen AI, GIS, cybersecurity, software development, and QA automation. Their offerings span pharma clinical and commercial development, prescriber analytics, market research, and self-serve analytics platforms. They serve global enterprises across life sciences, healthcare, and other sectors seeking practical, scalable analytics and responsible AI.
Job Summary Data Engineer (Lewisville, TX / Detroit, MI, Onsite)
Design, implement, and optimize data storage solutions using Snowflake and SQL databases to support analytics and reporting.
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Collaborate with technical teams, analysts, and business stakeholders to gather requirements and deliver reliable, high-quality datasets.
Ensure data security, compliance, and governance by applying best practices, including RBAC and encryption.
Monitor and troubleshoot data workflows to maintain performance, reliability, and cost-efficiency in cloud environments.
Automate data integration and transformation processes using Python scripting.
Apply advanced SQL programming (PL/SQL, T-SQL) and maintain expertise in Python programming.
Architect and deliver enterprise data and analytics solutions, focusing on data warehousing, big data, and both relational and NoSQL databases.
Define and implement data security standards, including encryption, auditing, and monitoring.
Preferred: Experience with DevOps (CI/CD), infrastructure as code, REST API development (Java Spring Boot, Python), Agile methodologies, API integrations (RESTful, SOAP), and familiarity with data/analytics in the banking sector.
