American Red Cross is a humanitarian organization dedicated to providing emergency assistance, disaster relief, and education in the United States. The organization offers various services, including blood donation, first aid and CPR training, disaster preparedness, and military family support. It aims to alleviate human suffering during emergencies and helps communities prepare for and respond to disasters.
Biomedical Services β’ Disaster Services β’ Service to Armed Forces β’ International Services β’ Preparedness, Health & Safety
February 14
π² North Carolina β Remote
π¦ Maryland β Remote
+2 more states
π΅ $140k - $150k / year
β° Full Time
π Senior
π° Data Engineer
American Red Cross is a humanitarian organization dedicated to providing emergency assistance, disaster relief, and education in the United States. The organization offers various services, including blood donation, first aid and CPR training, disaster preparedness, and military family support. It aims to alleviate human suffering during emergencies and helps communities prepare for and respond to disasters.
Biomedical Services β’ Disaster Services β’ Service to Armed Forces β’ International Services β’ Preparedness, Health & Safety
β’ The Enterprise Data & Analytics Team is building out a team of Data Engineers to support mission-transforming work through data at the American Red Cross. β’ As a Lead Data Engineer for the American Red Cross, you will be part of a Data Management team that is modernizing and transforming our data and reporting capabilities across multiple verticals by implementing a new modernized data architecture. β’ The Lead Data Engineer will help develop, maintain and support an enterprise data system and corresponding data and will be responsible for database design and implementation of agreed upon standards. β’ This position requires an innovative engineer who is passionate about data & data quality. β’ The ideal candidate will possess strong data warehousing experience and the ability to develop scalable data pipelines that make data management and analytics/reporting faster, more insightful, and more efficient. β’ The work location is 100% virtual from a home office with occasional in-person meetings as necessary.
β’ 4-year college degree or equivalent combination of education and experience. β’ 7+ years of relevant work experience in data engineering, business intelligence or related field. β’ Experience with a variety of database technologies and data warehouse schema design patterns (snowflake and star in particular). β’ Experience with cloud-based databases, specifically AWS technologies (e.g., Redshift, RDS, S3, EMR, EC2, Kinesis) β’ Proficient in Informatica (Power Center, IDMC, IDQ, MFT) required β’ Experience using SQL queries as well as writing and optimizing SQL queries in a business environment with large-scale, complex datasets. β’ Experience creating ETL and/or ELT jobs. β’ Experience with Agile software development methodologies. β’ Excellent problem solving and troubleshooting skills. β’ Process oriented with great documentation skills. β’ Proficient in object-oriented programming (Python in particular). β’ Experience with DevOps methodologies and tools (e.g., Git, Artifactory, etc.). β’ Experience with DBT is a plus β’ Experience developing in a Linux environment. β’ Experience developing integrations across multiple systems and APIs is a plus. β’ Experience with Big Data tools like Spark, Hadoop, Kafka, etc. is a plus.
β’ Medical, Dental, & Vision Plans β’ Health Spending Accounts & Flexible Spending Accounts β’ PTO + Holidays β’ 401K with up to 6% Match β’ Paid Family Leave β’ Employee Assistance Programs β’ Disability and Insurance: Short + Long Term β’ Service Awards and Recognition
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