Lead Data Engineer

American Red Cross

Lead Data Engineer helping the American Red Cross elevate its data and reporting capabilities. Focus on scalable solutions and team mentoring while developing enterprise data pipelines.

Posted 7/21/2026full-timeNorth Carolina • 🇺🇸 United StatesSenior💰 $140,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering and business intelligence, with a strong focus on data integration, cloud-based databases, and SQL optimization. Proven ability to lead teams, mentor peers, and implement scalable solutions aligned with data governance standards.

Highest-signal resume keywords

Data EngineeringSQL Query OptimizationAWS TechnologiesETL/ELT Job CreationDevOps Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Integration SolutionsSQLPythonData Warehouse Schema DesignData Quality Framework

Soft Skills

MentoringCollaborationTroubleshooting

Tools & Technologies

GitGitHub CopilotDuoArtifactory

Industry Keywords

Business IntelligenceData GovernanceAgile MethodologiesAutomated Deployments

Tech Stack

Tools & technologies

AWSCloudETLPythonSDLCSQL

About the role

Key responsibilities & impact

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

What you’ll need

Education*: 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 with a variety of database technologies and data warehouse schema design patterns.
Current hands-on experience with cloud-based databases, specifically AWS technologies.
Advanced experience using SQL queries as well as writing and optimizing SQL queries in a business environment with large-scale, complex datasets.
Proficiency in Python coding.
Experience with AI-assisted tools (e.g., GitHub Copilot, Duo) for code development, testing, and documentation across the SDLC.
Experience creating ETL and/or ELT jobs.
Familiarity with DevOps methodologies and tools (e.g., Git, Artifactory, etc.).
Familiarity with Agile software development methodologies.

Benefits

Comp & perks

Medical, Dental, & Vision Plans
Health Spending Accounts & Flexible Spending Accounts
PTO + Holidays
401K with up to 6% Match
Paid Family Leave
Employee Assistance Programs
Disability and Insurance: Short + Long Term
Service Awards and Recognition