Lead Data Engineer
$145k - $160kAmerican Red Cross
Please use Google Chrome or Mozilla Firefox when accessing Candidate Home.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 building out a team of well-rounded, full-stack Data Engineers to support mission-transforming work through data at the American Red Cross. As a result, we are hiring for a Lead Data Engineer for one 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 & 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. This position also requires the ability to work a rotational weekend support schedule once every 8 weeks. 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, 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.
- 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 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 (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.
- Proficient in object-oriented programming ( Coding experience in Python is a required) .
- Experience with DBT is preferred.
- 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.
- Experience with DevOps methodologies and tools (e.g., Git, Artifactory, etc.).
- Experience developing integrations across multiple systems and APIs is a plus.
- 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).
BENEFITS FOR YOU:
As a mission-based organization, we believe our team needs great support to do great work. Our comprehensive package includes:- 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
- LI-EH1 Apply now! Joining our team will provide you with the opportunity to make your career a force for good! The American Red Cross is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
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