Endpoint Clinical · 12 hours ago
Data Engineer
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Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and other big data technologies.
Optimize data workflows to handle large volumes of data efficiently.
Build and manage data warehouses and data lakes to store structured and unstructured data.
Utilize SQL, Python, Spark for data extraction, transformation, and loading (ETL) processes.
Work closely with data analysts and data scientists to understand their data needs and ensure the availability of clean, reliable data.
Integrate data from various sources, ensuring consistency and accuracy across the data ecosystem.
Implement data quality checks to ensure data accuracy, completeness, and consistency.
Develop and enforce data governance policies and procedures to maintain high data quality standards.
Develop and support BI tools and dashboards, providing business insights and data-driven decision-making support.
Work with stakeholders to understand reporting requirements and deliver actionable insights.
Automate repetitive data processing tasks to improve efficiency and reduce manual work.
Continuously monitor and improve data pipeline performance, addressing bottlenecks and optimizing resources.
Document data processes, workflows, and architecture for future reference and knowledge sharing.
Ensure compliance with data security and privacy regulations, such as GDPR, HIPAA, etc.
Qualification
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Required
Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related technical field
8+ 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
Keen attention to detail and bias for action
Excellent organizational skills and proven ability to multi-task
Ability to influence without authority and lead successful teams
Strong interpersonal skills with the ability to work effectively with a wide variety of professionals
Ability to lead back-end data initiatives – identify data sources, write scripts, transfer and transform data, and automate processes
Ability to understand source data, its strengths, weaknesses, semantics, and formats
Excellent knowledge of logical and physical data modeling concepts (relational and dimensional)
Benefits
Medical
Dental
Vision
Life
STD/LTD
401(K)
Paid time off (PTO) or Flexible time off (FTO)
Company bonus where applicable
Company
Endpoint Clinical
Endpoint Clinical designs, engineers, and tests interactive response technology platforms that enables data access through phones.
H1B Sponsorship
Endpoint Clinical has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (16)
2020 (11)
Funding
Current Stage
Late StageTotal Funding
$1.7M2010-03-01Debt Financing· $1.7M
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