About [Employer hidden — sign up to reveal]

[Employer hidden — sign up to reveal] is a digital product consultancy. We help clients grow their business and delight customers through intuitive, thoughtfully designed technology. We solve problems in creative ways across strategy, design, and technology.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience).
• 6+ years of professional experience in data engineering.
• In-depth knowledge of Snowflake (warehouse design, RBAC, performance tuning, cost optimization).
• Experience migrating data pipelines to Snowflake from other platforms.
• Advanced proficiency with dbt for modular, tested data transformations.
• Hands-on experience with Dagster for pipeline orchestration and asset management.
• Proven experience designing data pipelines and analytics platforms on modern cloud data stacks.
• Advanced proficiency in Python (Pandas, Polars, PySpark, or similar).
• Strong SQL skills (analytical and transactional).
• Experience with relational/columnar databases (PostgreSQL, SQL Server, Snowflake).
• Deep understanding of data modeling, ETL/ELT, and data warehousing principles.
• Experience implementing data architecture patterns (medallion, data mesh, lakehouse).
• Familiarity with Infrastructure-as-Code (Terraform, Pulumi).
• Familiarity with event-driven architectures and orchestration integration.
• Strong version control (Git) and CI/CD (GitHub Actions).
• Experience building RESTful APIs; exposure to Docker is a plus.
• Familiarity with data quality tooling (dbt tests, Great Expectations, Monte Carlo) is desirable.

What You'll Do

• Design and implement end-to-end data pipelines and ETL/ELT processes.
• Architect scalable data platforms using medallion, data mesh, or lakehouse patterns.
• Develop data-processing logic using Python (Pandas, PySpark, Polars) and advanced SQL.
• Automate data workflows using orchestration tools like Airflow/MWAA and Step Functions.
• Implement Infrastructure-as-Code (Terraform/CloudFormation) and CI/CD for data workloads.

Benefits & Perks

[Employer hidden — sign up to reveal] offers comprehensive medical plans, company-paid life and disability insurance, 401(k) with up to 3.5% match, flexible PTO, remote-friendly work environment, and professional development funds.

Compensation

The base pay range for this role is $130,000 – $170,000 per year.

How to Apply

Ready to apply? Fill out the application form on this page. For questions, contact [Employer hidden — sign up to reveal]. [Employer hidden — sign up to reveal] is an equal opportunity employer.