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By joining the American Red Cross  you will touch millions of lives every year and experience the greatness of the human spirit at its best.  Are you ready to be part of  the world's largest humanitarian network?

Join us—Where your Career is a Force for Good!

Job Description:

WHY CHOOSE US?
Joining The American Red Cross is like nothing else – it’s as much something you feel as something you do. You become a vital part of the world’s largest humanitarian network. Joining a team of welcoming individuals who are exceptional, yet unassuming. Diverse, yet uncompromising in unity. You grow your career within a movement that matters, where success is measured in people helped, communities made whole, and individuals equipped to never stop changing lives and situations for the better.
 
When you choose to be a force for good, you’ll have mentors who empower your growth along a purposeful career path. You align your life’s work with an ongoing mission that’s bigger than all of us. As you care for others, you’re cared for with competitive compensation and benefits. You join a community that respects who you are away from work as much as what you do while at work.


WHAT YOU NEED TO KNOW ABOUT THE JOB:
The Enterprise Data & Analytics Team is a full-stack Data Engineering team supporting mission-transforming work through data at the American Red Cross. As a result, we are hiring a Lead Data Engineer for one of our highly dynamic product teams to help do this exciting work!

As a Lead Data Engineer for the American Red Cross, you will be part of our Enterprise Data Analytics team that is modernizing and transforming our data and reporting capabilities across multiple verticals by implementing a new modernized data architecture and technical stack.

The Lead Data Engineer will help develop, test, maintain and support an enterprise data warehouse system and corresponding data and will be responsible for database design and implementation of agreed upon standards. This position requires an innovative engineer who is passionate about data, data quality and automation. The ideal candidate will possess strong data warehousing experience and the ability to develop and deploy scalable data pipelines that make data management and analytics/reporting faster, more insightful, and more efficient.

The work location is 100% virtual from a home office with occasional in-person meetings as necessary. Preference for candidate to work an East coast schedule for coordination with off-shore resources.

WHERE YOUR CAREER IS A FORCE FOR GOOD (Key Responsibilities):
•    Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility, and foster data-driven decision making across the organization.
•    Build and implement scalable solutions that align to our data governance standards and architectural roadmap for data integrations, data storage, reporting, and analytic solutions.
•    Design, develop, and test data integration solutions.  Write, automate and document unit/integration/functional tests.
•    Manage automated deployments using Git pipelines, ensuring code changes are efficiently version-controlled and deployed.
•    Collaborate with multiple teams to streamline deployment workflows, monitor and troubleshoot pipelines for reliability and performance.
•    Perform data analysis required to troubleshoot data-related issues by building a data quality framework and assist in the resolution of data issues.
•    Serve as tech lead by mentoring less experienced members of the team through code reviews, pair programming and similar hands-on interactions.

Scope: Individual contributor that works under limited supervision. Apply subject matter knowledge. Capacity to understand specific needs or requirements to apply skills/knowledge.

Qualified candidates must be authorized to work in the United States.  The American Red Cross does not sponsor employment visas.

WHAT YOU NEED TO SUCCEED (required/minimum qualifications):
•    Education*: 4-year college degree or equivalent combination of education and experience.  Prefer academic backgrounds in Computer Science, Engineering, Mathematics, or related technical field.
•    10 years of relevant work experience in data engineering, business intelligence or related field.
•    Experience with cloud-based databases, specifically AWS technologies (e.g., Redshift (preferred), RDS, S3, EC2, EKS, Zero ETL)
•    Advanced experience using SQL queries as well as writing and optimizing SQL queries in a business environment with large-scale, c