Senior Data Engineering Manager - Remote
About the Role
Upstart is hiring a full-time Senior Data Engineering Manager to join our innovative team. This remote position allows you to work from anywhere in the United States, providing you with the flexibility to balance your work and personal life. As a Senior Data Engineering Manager, you will play a crucial role in shaping our data strategy and leading a team of talented engineers.
What You'll Do
- Lead and manage a team of data engineers to build and optimize data pipelines and architectures.
- Oversee the design and implementation of scalable data solutions that support business objectives.
- Collaborate with cross-functional teams to understand data needs and deliver high-quality solutions.
- Ensure data integrity and security while promoting best practices in data management.
- Drive the adoption of modern data engineering tools and technologies.
Requirements
- 5+ years of experience in data engineering, with a focus on data architecture and pipeline development.
- Proven experience in managing and mentoring data engineering teams.
- Strong knowledge of SQL and experience with big data technologies such as Hadoop, Spark, or similar.
- Experience with cloud platforms like AWS, Google Cloud, or Azure.
- Excellent communication skills and the ability to work collaboratively in a remote environment.
Nice to Have
- Experience in the FinTech industry or related sectors.
- Familiarity with machine learning concepts and tools.
- Knowledge of data governance and compliance standards.
What We Offer
- Competitive salary ranging from $195,000 to $270,000 annually.
- Flexible remote work environment with a focus on work-life balance.
- Comprehensive health benefits and wellness programs.
- Opportunities for professional growth and development.
- Collaborative and inclusive company culture.
This Senior Data Engineering Manager role at Upstart offers a competitive salary and the opportunity to lead a remote team in a dynamic FinTech environment.
Who Will Succeed Here
Expert in data engineering technologies such as Hadoop and Spark, with hands-on experience in building scalable data pipelines on cloud platforms like AWS and Google Cloud.
Self-motivated and disciplined to succeed in a fully remote work environment, demonstrating strong time management skills and the ability to lead a distributed team effectively.
Proven track record of strategic decision-making in data architecture and governance, with a mindset geared towards continuous improvement and innovation in data processes.
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