Staff Data Engineer-Austin, TX preferred (Remote considered)

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Staff Data Engineer

Location: Austin, TX preferred (Remote considered)

Seeking a Staff Data Engineer to lead the design and development of scalable data platforms that power analytics, reporting, and machine learning initiatives. This is a hands-on technical leadership role focused on building reliable data pipelines, designing robust data models, and mentoring other engineers while partnering closely with Product, Analytics, and Engineering teams.

Must-Have Qualifications

• Strong experience building scalable ETL/ELT pipelines using Python and SQL
• Expertise with dbt, data modeling, and modern data warehouse best practices
• Experience designing and optimizing large-scale data architectures
• Proven ability to work with complex datasets and deliver high-quality, reliable data solutions
• Experience collaborating with cross-functional teams including Product, Analytics, and Engineering
• Strong system design and data architecture experience
• Ability to mentor engineers and provide technical leadership as an individual contributor
• Excellent communication and stakeholder management skills

Preferred Qualifications

• Experience supporting analytics and machine learning platforms
• Background working in cloud-based data environments
• Experience with modern BI and data visualization tools

Key Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines using Python, SQL, and dbt.
• Develop and maintain robust data models that support analytics, reporting, and machine learning.
• Partner with Product, Analytics, and Engineering teams to translate business requirements into scalable data solutions.
• Improve data quality, governance, reliability, and performance across the data platform.
• Lead architectural decisions and establish data engineering best practices.
• Mentor team members through technical guidance, design reviews, and knowledge sharing.
• Drive continuous improvements in data infrastructure, automation, and engineering processes.
• Troubleshoot complex data issues and optimize data workflows for performance and scalability.

What You’ll Bring

• Passion for building scalable, high-quality data platforms.
• Strong analytical and problem-solving skills.
• Ability to influence technical direction without direct management responsibilities.
• Experience thriving in fast-paced, collaborative engineering environments.

Interested candidates may submit their resume online or call at 310-906-4780 for further information regarding the position.

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