Data Engineer

We are seeking an experienced Data Engineer to architect, develop, and optimize large-scale data solutions that empower leadership with accurate, high-quality data to drive business decisions. This role is ideal for a self-starter who thrives in a fast-paced, collaborative environment and enjoys solving complex technical and business challenges.

• Architect, develop, and test scalable, high-performance data solutions
• Design and implement efficient methods for consuming data from diverse and variable-quality sources
• Build and maintain data products that enable self-service analytics and predictability for consumers
• Develop reusable libraries and frameworks to enhance team productivity
• Optimize and maintain existing solutions to improve efficiency, data quality, and operational excellence
• Collaborate cross-functionally to adapt to evolving business and technical requirements

• 6+ years of software engineering experience with a strong focus on data and SQL
• Expertise in at least one of the following:
  Python, Java, or Scala
• Experience with data technologies such as Airflow, Spark, Trino, and Kafka
• Strong ability to analyze complex datasets and design efficient, high-quality solutions
• Solid understanding of SDLC best practices, version control systems, and CI/CD processes

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field
• Experience with cloud platforms such as AWS, GCP, or Azure for data infrastructure and storage
• Knowledge of Infrastructure as Code tools (e.g., Terraform)
• Experience with container orchestration tools (e.g., Kubernetes)