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