Data Engineer

Data Engineer 📍 Hybrid – Austin, TX 📄 Long-Term Contract About the Role 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. Key Responsibilities • 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 Required Qualifications • 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 Preferred Qualifications • 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)