Data Engineer

Applied Curiosity - Drive Insights and Decision Making; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Total autonomy over problem-solving

Work with award-winning data professionals

High-visibility projects

Job summary

Applied Curiosity, located in Austin, Texas, is seeking an experienced Data Engineer who thrives in a data-driven culture. You'll architect and build Snowflake environments, develop data pipelines, and lead client strategy discussions.

With responsibilities including mentoring junior engineers and managing full-cycle projects, this position calls for someone adept at complex problem-solving and effective communication. Join us to make a significant impact!

Qualifications

• 8+ years of experience in Data Engineering.
• 4–5+ years of expertise with Snowflake.
• Proven track record of managing full-cycle projects.
• Ability to communicate complex technical solutions to non-technical stakeholders.

Responsibilities

• Design enterprise-scale Snowflake environments.
• Build and optimize data flows using Python, dbt, and Airflow.
• Translate business needs into technical blueprints.
• Implement security and compliance frameworks within Snowflake.
• Mentor junior engineers and collaborate with partners.

Skills

Data Engineering

Snowflake

Python

dbt

Airflow

Client Communications

Job description

The Mission

Working on problems worth solving. At Applied Curiosity, we build responsible and informed decision cultures at our clients. Everyone lives and breathes data an AI, so you’ll be surrounded by an inquisitive, technical, and outcome focused group. If this is your jam, we are your people. We are a Snowflake, AWS, and Anthropic partner, and we’re looking for data engineering folks that love diagramming the big picture and then executing spectacularly so that the vision comes to life.

Key Responsibilities

• Architect & Build: Design enterprise-scale Snowflake environments (multi-account, cost-optimized).
• Develop Pipelines: Build and optimize data flows using Python, dbt, and Airflow.
• Client Strategy: Translate business needs into technical blueprints and lead client communications.
• Governance: Implement security and compliance frameworks within Snowflake.
• Leadership: Mentor junior engineers and collaborate with our Snowflake, AWS and Anthropic partners.

Essential Requirements

• Experience: 8+ years in Data Engineering.
• Specialization: 4–5+ years of deep, hands‑on expertise with Snowflake.
• Ownership: A proven track record of managing full-cycle projects (Discovery → Architecture → Production).
• Communication: Ability to explain complex technical solutions to non-technical stakeholders.

Why Join?

• Work with award-winning data pros.
• Total autonomy over problem-solving.
• High-visibility projects with massive organizations.

If you’re a Snowflake expert who loves solving hard problems, working with both Claude Code and IRL co-workers, we’re ready for you to join the team and start making an impact.