Data Engineer

Remote Full TimeUnited States (Remote)Wynd Labs

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.

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

  • Competitive salary
  • Benefits
  • Equity package

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