
Lead Data Engineer
American Red Cross
full-time
Posted on:
Location Type: Remote
Location: Florida • Illinois • United States
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Salary
💰 $140,000 - $150,000 per year
Job Level
About the role
- 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.
Requirements
- 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, complex datasets.
- Experience with a variety of database technologies and data warehouse schema design patterns (snowflake and star in particular).
- Proficient in object-oriented programming (current hands on coding experience in Python is required).
- Excellent data analysis and problem-solving skills.
- Experience with DevOps methodologies and tools (e.g., Git, Artifactory, etc.).
- Proficient in use of AI (Gitlab Duo, Gemini, or similar) for coding efficiency.
- Experience in daily Engineering operations, support, and issue resolution.
- Experience with Agile software development methodologies.
- Self-motivated with the ability to work independently and as part of a team
- Strong professionalism, interpersonal, written/verbal communication, and problem-solving skills.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data integrationdata analysisSQLPythondata warehouse schema designcloud-based databasesdata governanceautomated testingDevOps methodologiesAI coding tools
Soft Skills
problem-solvingmentoringcommunicationcollaborationself-motivatedinterpersonal skillsprofessionalismteamworkcode reviewspair programming