Senior Data Engineer

Job Title: Senior Data Engineer Location: Austin, TX (Hybrid) Duration: Long Term Employment Type: Contract (W2 / C2C) Job Overview We are seeking an experienced Senior Data Engineer to architect, build, and maintain large-scale data solutions that empower business leaders with accurate, timely, and actionable insights. The ideal candidate is a self-starter who thrives in a fast-paced environment, adapts quickly to changing requirements, and collaborates effectively with cross-functional teams. Key Responsibilities • Architect, develop, and test scalable, high-performance data solutions • Design and implement efficient data ingestion pipelines from diverse and variable-quality data sources • Create data products that enable self-service analytics and predictability for consumers • Build reusable libraries and frameworks to improve team productivity • Optimize and maintain data solutions to improve efficiency, data quality, and operational excellence • Collaborate with engineering, analytics, and business stakeholders Required Qualifications • 6+ years of software engineering experience with a strong focus on data and SQL • Proficiency in Python, Java, or Scala • Experience with Airflow, Spark, Trino, and Kafka • Strong analytical skills with the ability to design efficient, high-quality data solutions • Solid understanding of SDLC best practices, version control, and CI/CD Preferred Qualifications • Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field • Experience with cloud platforms such as AWS, GCP, or Azure • Familiarity with Infrastructure as Code tools (e.g., Terraform) • Knowledge of containerization and orchestration tools such as Kubernetes