Lead Data Engineer

American Red Cross • Raleigh, NC

1d • Remote

About The Position

The Enterprise Data & Analytics Team is a full-stack Data Engineering team supporting mission-transforming work through data at the American Red Cross. We are seeking a Lead Data Engineer for one our highly dynamic product teams to help do this exciting work! As a Lead Data Engineer, you will be part of our 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 & 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 remote with in-person meetings as necessary. Preference for candidate to work an East coast schedule for coordination with off-shore resources and ability to come into a Red Cross office as necessary. This position also requires the ability to work a rotational weekend support schedule once every 8 weeks.

Requirements

• 4-year college degree in Computer Science, Engineering, Mathematics, or related technical field or equivalent combination of education and experience.
• 10 years of relevant work experience in data engineering, business intelligence or related field.
• Current hands-on experience is required with the following technologies:
• A variety of database technologies and data warehouse schema design patterns (snowflake and star in particular).
• 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, complex datasets.
• Python coding
• AI-assisted tools (e.g., GitHub Copilot, Duo) for code development, testing, and documentation across the SDLC.
• Creating ETL and/or ELT jobs.
• DevOps methodologies and tools (e.g., Git, Artifactory, etc.).
• Agile software development methodologies.
• Experience leading data engineering teams in an onshore/offshore model, including mentoring junior engineers through code reviews, pair programming, and establishing team best practices.
• Excellent problem solving and troubleshooting skills.
• Process oriented with great documentation skills.
• A sense of passion, energy, and eagerness to contribute to and support the mission of the Red Cross.
• Qualified candidates must be authorized to work in the United States. The American Red Cross does not sponsor employment visas.
• Combination of candidate’s education and general experience satisfies requirements so long as the total years equate to description’s minimum education and general experience years combined (Management experience cannot be substituted).

Nice To Haves

• DBT
• Developing integrations across multiple systems and APIs

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.

Benefits

• Medical, Dental Vision plans
• Health Spending Accounts & Flexible Spending Accounts
• PTO: Starting at 19 days a year; based on type of job and tenure
• Holidays: 11 paid holidays comprised of six core holidays and five floating holidays
• 401K with up to 6% match
• Paid Family Leave
• Employee Assistance
• Disability and Insurance: Short + Long Term
• Service Awards and recognition

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree