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Data Engineer with Expertise in Data Management and Collaboration
4 weeks ago
We are seeking an experienced Data Engineer to join our pioneering team at Gable.ai, a Seattle-based startup revolutionizing the data industry. As a Staff Software Engineer, you will own the design and delivery of full-stack product features, leveraging your expertise in data management and collaboration.
About Us
Gable.ai is on a mission to reshape data management by fostering collaboration and innovation. Our cutting-edge technology empowers developers to build and manage data assets, bridging the gap between data producers and consumers to upscale data quality. Join us in transforming the landscape of the data industry.
Responsibilities
- Owning the lifecycle of building novel solutions to complex problems, from development to deployment
- Working directly with customers to define problems and implement production-grade software
- Scoping out and building best-possible data solutions to green-field problems at scale
- Collaborating with cross-functional teams to drive company success
Requirements
- Minimum 8 years of experience writing production-grade software, ideally at a B2B SaaS company
- Proficiency in modern object-oriented languages such as Python, Go, and Java
- Experience with a variety of backend technologies, including Infrastructure as Code (Terraform/Pulumi), relational databases, NoSQL databases, and modern API frameworks
- Ability to stay up-to-date with the latest developments in software development and the data space
- Strong ownership and self-sufficiency in fast-paced environments
Tech Stack
- TypeScript
- Python
- Node
- Postgres
- AWS
- Snowflake
- Rust
What We Offer
- Competitive compensation package ($140,000 - $180,000 per year)
- Dynamic, fast-paced, and supportive work environment
- Opportunity to make a significant impact in the data industry
- Collaboration with a talented and passionate team of engineers and industry experts
Join Gable.ai's Pioneering Team
If you are passionate about the intersection of software engineering and data, we would love to hear from you. As an equal-opportunity employer, we encourage applications from candidates of all backgrounds and experiences.