Software Engineer, Data Platform
WFA Digital Insight
In the competitive landscape of remote tech roles, the demand for data engineering expertise has surged, with recent reports indicating a growth rate of over 40% for talent in this field. GlossGenius stands out by integrating fintech solutions tailored for small businesses, making this role particularly pivotal for driving innovative data solutions that impact thousands of entrepreneurs. Candidates with strong skills in data architecture and modeling will find it essential to not only demonstrate technical prowess but also an understanding of business-driven data strategies. Prepare to showcase how your experience can help foster this thriving ecosystem.
Job Description
About the Role
As a Software Engineer for the Data Platform at GlossGenius, you'll focus on enhancing the data infrastructure vital for the company's AI initiatives. This role combines technical expertise with strategic leadership, ensuring the technology meets the needs of over 100,000 business owners.
Responsibilities
- Design and implement core data models and pipelines for analytics and machine learning.
- Develop modern data lake orchestration patterns, such as medallion architectures.
- Architect and maintain a scalable, cost-effective lakehouse foundation using Snowflake, Clickhouse, and orchestration tools.
- Establish best practices for data quality, governance, and performance.
- Mentor fellow engineers, enhancing their skills and promoting operational excellence.
- Shape the long-term vision for GlossGenius' data ecosystem.
Requirements
- 5+ years of experience in data engineering.
- Strong background in data architecture, modeling, and distributed systems.
- Deep expertise in tools and technologies relevant to data engineering, including Snowflake and Clickhouse.
Nice to Have
- Experience with machine learning and analytics frameworks.
- Familiarity with data governance practices.
Benefits
- Flexible remote work opportunities.
- Opportunity for professional growth and mentorship.
How to Stand Out
- Highlight your experience with Snowflake and Clickhouse to align with the technical needs of the role.
- Prepare examples of how you've created scalable data solutions in previous positions.
- Demonstrate your ability to mentor others by showcasing past experiences in team environments.
- Research GlossGenius' products and align your skills with their business goals to stand out in interviews.
- Be ready to discuss your approach to data governance and ensuring data quality.
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