Senior Data Engineer Full time · Austin Engineering

Scaffold; Austin, Northern (TX, KY); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity

On-site in Austin

Job summary

Scaffold in Austin, TX is seeking a Senior Data Engineer to design and build a world-class data architecture and pipeline. You’ll lead the data platform’s scale, accuracy, and performance in an early-stage, venture-backed product.

You’ll architect and maintain pipelines, model large datasets, and collaborate with product and engineering to drive integration flows. Proficiency in Python and SQL is required, with experience in modern tools like Airflow, dbt, Kafka, and Snowflake.

Qualifications

• 5+ years in data engineering or backend engineering.
• Strong Python expertise in production environments.
• Proficiency in SQL, data modeling, and modern data pipelines.
• Airflow, dbt, Kafka, Snowflake experience is a plus.
• Startup mindset with fast-paced, high-ownership environment.
• Strong written and verbal communication skills.

Responsibilities

• Architect, build, and maintain reliable data pipelines and infrastructure.
• Standardize, clean, and model large sets of real-world construction data.
• Develop tools to ensure data quality, accuracy, and performance at scale.
• Partner closely with product, engineering, and customers to design integration flows.
• Apply Python and SQL for ETL workflows.
• Leverage AI/ML methods to improve automation of data classification and mapping.
• Help define best practices for data governance and reliability.

Skills

Python

SQL

Data modeling

AI/ML workflows

Tools

Airflow

dbt

Kafka

Snowflake

Job description

# Senior Data EngineerFull timeAustinOn‐siteEngineeringApply for this roleWe are looking for a Data Engineer to design and build a world-class data architecture and pipeline. You’ll be the technical lead for ensuring our platform handles scale, accuracy, and performance. This role is highly impactful and ideal for someone who thrives in early-stage environments and wants to shape the data foundation of a fast-growing product.## What You’ll Do* Architect, build, and maintain reliable data pipelines and infrastructure.* Standardize, clean, and model large sets of messy real-world construction data.* Develop tools to ensure data quality, accuracy, and performance at scale.* Partner closely with product, engineering, and customers to design integration flows.* Apply Python (required) and SQL for advanced data engineering and ETL workflows.* Leverage AI/ML methods to improve automation of data classification and mapping.* Help define best practices for data governance and reliability.## What We’re Looking For* Experience: 5+ years in data engineering or backend engineering roles.* Technical Skills: Strong Python expertise required. Proficiency in SQL, data modeling, and modern data pipeline tools (e.g., Airflow, dbt, Kafka, Snowflake, etc.). Familiarity with AI/ML workflows a plus.* Startup Mindset: Comfort working in fast-paced, high-ownership environments.* Collaboration: Strong written and verbal communication skills, with an ability to translate technical details into clear solutions.## Why Join Scaffold?* Impact: Play a critical role in defining and building the future of Scaffold and the residential construction industry.* Growth Opportunity: Be an early leader in a venture-backed company.* Culture: Work alongside high-caliber teammates in a no-ego, high-energy environment.* Compensation: Competitive salary and meaningful equity in the company.