Design, build, and maintain data pipelines to support business needs
Implement data storage and processing systems that scale to handle large data sets
Collaborate with cross-functional teams to ensure data quality and support data analysis
Required Qualifications
Bachelor's/MS degree in computer science (preferred)
5+ years of experience in data engineering or a related field
2+ years working with clinical data in the healthcare domain
Strong understanding of data lake, data warehousing, data modeling, and SQL
Professional experience with Python and big data technologies such as Databricks and Spark
Average salary estimate
$135000
/ YEARLY (est.)
min
max
$120000K
$150000K
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