Data Engineer

September 19

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Wynd Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🤖 Artificial Intelligence

Description

• We are seeking a Data Engineer with expertise in building and maintaining robust data pipelines and integrating scalable infrastructure. • You will join a small, talented team and play a critical role in designing and optimizing our data systems, ensuring seamless data flow and accessibility. • Your contributions will directly support our mission to position Grass as a key player in the evolution of data-driven innovation on the internet.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field. • Extensive experience with database systems such as Redshift, Snowflake, or similar cloud-based solutions. • Advanced proficiency in SQL and experience with optimizing complex queries for performance. • Hands-on experience with building and managing data pipelines using tools such as Apache Airflow, AWS Glue, or similar technologies. • Solid understanding of ETL (Extract, Transform, Load) processes and best practices for data integration. • Experience with infrastructure automation tools (e.g., Terraform, CloudFormation) for managing data ecosystems. • Knowledge of programming languages such as Python, Scala, or Java for pipeline orchestration and data manipulation. • Strong analytical and problem-solving skills, with an ability to troubleshoot and resolve data flow issues. • Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) technologies for data infrastructure deployment. • Collaborative team player with strong communication skills to work with cross-functional teams.

Benefits

• Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development. • Culture. We’re a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output. • Compensation. You’ll receive a competitive salary and equity package. • Resources and growth. We’re well-capitalized, with backing from leading venture funds like Polychain, Tribe, NLH, Hack, BH Digital, and more. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales.