Design and build enterprise-scale Snowflake environments, develop and optimize data pipelines with Python, dbt, and Airflow, lead client technical strategy, implement Snowflake security/compliance, and mentor junior engineers while collaborating with Snowflake, AWS, and Anthropic partners.
The Mission
Key Responsibilities
Essential Requirements
Why Join?
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.
Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Senior Data Engineer on PwC's Managed Data, Analytics & Insights team to design, build and manage advanced data ecosystems. Responsibilities include designing data solutions and scalable pipelines, solving complex problems, mentoring junior staff, maintaining high delivery standards, and building client relationships while aligning solutions to business context.
Top Skills:
DatabricksKafka
.png)
Fintech • Insurance • Machine Learning • Analytics • Financial Services • Automation
Build and maintain reliable data pipelines, Airflow DAGs, and Snowflake-based Data Vault/warehouse models. Implement CI/CD, automated testing, observability, and production support while partnering with stakeholders and developing insurance domain expertise.
Top Skills:
Apache AirflowBigQueryCi/CdClaude CodeCursorData Observability ToolingData Vault 2.0PythonRbacRedshiftSnowflakeSnowflake CortexSQL
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.
Top Skills:
Apache AirflowApache HadoopAWSAzure Data FactoryDagsData LakeData WarehouseDatabricksDimensional ModelingAzure
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
