Data Engineer

October 31

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Logo of Endpoint Clinical

Endpoint Clinical

IVR/IWR for clinical trials • IRT • Randomization • Clinical Supply Chain Management • ePRO

501 - 1000

💰 $1.7M Debt Financing on 2010-03

Description

• Endpoint is an interactive response technology (IRT®) systems and solutions provider that supports the life sciences industry. • The Data Engineer plays a critical role in designing, implementing, and maintaining data infrastructure for business intelligence, analytics, and data science initiatives. • Requires expertise in Databricks, SQL, Python, Spark, focusing on ELT/ETL processes.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related technical field is preferred. • 4-6 years of technical experience with a strong focus on Big Data technologies in any of these areas: software engineering, integrations, data warehousing, data analysis, business intelligence, preferably at a technology or biotech/pharma company • Proficiency in Databricks for data engineering tasks. • Advanced knowledge of SQL for complex queries, data manipulation, and performance tuning. • Strong programming skills in Python for scripting and automation. • Experience with Big Data tools (e.g., Spark, Hadoop) and data processing frameworks. • Familiarity with BI tools (e.g., Tableau, Power BI) and experience in developing dashboards and reports. • Experience with cloud platforms & tools like Azure ADF or Databricks. • Familiarity with data modeling and data architecture design. • Understanding of machine learning concepts and their application in data engineering.

Benefits

• All job offers will be based on a candidate’s location, skills and prior relevant experience, • Regular, full-time or part-time employees working 30 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(K), Paid time off (PTO) or Flexible time off (FTO), and Company bonus where applicable.

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