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Wynd Labs logo
Wynd Labs

The first transparent node marketplace. Earn passive income by monetizing your view of the internet.

Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 11-50Since 2018H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

119 days ago

Salary

$100K - $140K / year

Seniority

Senior

Job Description

Data Engineer

Wynd Labs

• Designing, building, and optimizing scalable data pipelines to process and integrate data from various sources in real-time or batch modes. • Developing and managing ETL/ELT workflows to transform raw data into structured formats for analysis and reporting. • Integrating and configuring database infrastructure, ensuring performance, scalability, and data security. • Automating data workflows and infrastructure setup using tools like Apache Airflow, Terraform, or similar. • Collaborating with data scientists, analysts, and other stakeholders to ensure efficient data accessibility and usability. • Monitoring, troubleshooting, and improving the performance of data pipelines and infrastructure to ensure data quality and flow consistency. • Working with cloud infrastructure (AWS, GCP, Azure) to manage databases, storage, and compute resources efficiently. • Implementing best practices for data governance, data security, and disaster recovery in all infrastructure designs. • Staying current with the latest trends and technologies in data engineering, pipeline automation, and infrastructure as code.

Job 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.

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