Lead Data Engineer

2 weeks ago

Wilmington, Delaware, United States American Red Cross Full time
Transforming Data for a Greater Good

The American Red Cross is seeking a highly skilled Lead Data Engineer to join our Enterprise Data Analytics team. As a key member of our team, you will play a critical role in modernizing and transforming our data and reporting capabilities across multiple verticals.

Key Responsibilities:
  • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering 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.
Requirements:
  • 7+ years of relevant work experience in data engineering, business intelligence, or a related field.
  • Experience with a variety of database technologies and data warehouse schema design patterns (snowflake and star in particular).
  • Experience with cloud-based databases, specifically AWS technologies (e.g., Redshift, RDS, S3, EC2, EKS, Zero ETL).
  • Experience using SQL queries as well as writing and optimizing SQL queries in a business environment with large-scale, complex datasets.
  • Experience creating ETL and/or ELT jobs.
  • Experience with Agile software development methodologies.
  • Excellent problem-solving and troubleshooting skills.
  • Process-oriented with great documentation skills.
  • Proficient in object-oriented programming (Python is a must).
  • Experience with DevOps methodologies and tools (e.g., Git, Artifactory, etc.).
  • Experience developing in a Linux environment.
  • Experience developing integrations across multiple systems and APIs is a plus.
  • Experience with Big Data tools like Spark, Hadoop, Kafka, etc. is a plus.
What We Offer:
  • A competitive annual salary range of $140K - $150K.
  • A comprehensive benefits package, including medical, dental, and vision plans, health spending accounts, flexible spending accounts, PTO, holidays, 401K with up to 5% match, paid family leave, and employee assistance programs.
  • A supportive and inclusive work environment that values diversity and promotes a culture of belonging.
How to Apply:

If you are a motivated and experienced data professional looking to make a meaningful impact, please submit your application. We look forward to reviewing your qualifications and discussing this opportunity further.

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