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Role Description

As a Data Engineer, you will:

• Build and maintain scalable, best-in-class data infrastructure and pipelines that serve as core components of a multi-tenant data platform.
• Ensure our data pipelines and data warehouse are optimized for accuracy, performance, and accessibility.
• Manage architecture frameworks and participate in the development of data, experimentation, and analytics solutions in collaboration with cross-functional partners in the Product and Engineering organizations.
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Test and clearly document data assets and warehouse implementations to enable others to understand the implementation and definition of data methodologies easily.
• Design data integrations and a data quality framework.
• Work closely with Product and Engineering teams to develop a strategy for long-term data platform architecture.

Qualifications

• Demonstrated ability to build, manage, and optimize core data infrastructure at scale in a multi-tenant environment.
• A propensity to independently identify opportunities for optimization and drive forward high-impact projects with minimal guidance.
• Proficiency in SQL and strong programming skills in Python, with experience in Bash scripting for automation and workflow management.
• Deep knowledge and experience with Snowflake and advanced features like Snowpipes, storage integrations, stages, streams, tasks.
• Experience with the AWS ecosystem and securely deploying and managing applications using serverless tools like ECS and Lambda.
• Experience building and maintaining custom ingestion pipelines using tools like dlt or requests.
• Ingest data from third-party APIs and custom ingestion pipelines with Dagster and Snowflake (Snowpipe, streams, and tasks).
• Proficiency with workflow orchestration tools (Dagster or similar tooling like Airflow or Prefect) and data transformation tools (dbt).
• Experience with DataOps tools, such as Docker, GitHub Actions, and Terraform.
• Experience with AI or ML is a plus.

Requirements

• Excited to build foundational data infrastructure that powers many e-commerce brands.
• Energized by the opportunity to abstract repeated data problems into platform-level solutions.
• Passionate about working cross-functionally across engineering, product, and data teams.
• Motivated by working in a fast-paced and iterative environment.
• Excited by the opportunity to be an early, critical member of a rapidly growing organization.
• Personally aligned with our mission to make commerce accessible.

Benefits

• An investment in your physical and mental well-being; we offer 100% employee Medical Benefits coverage, with 69% dependent coverage.
• Flexible PTO; we encourage you to take the time you need to be your best self at work.
• An onboarding package and annual work from home stipend to ensure you have everything you need to be successful while working remote.
• Generous Parental Leave with customizable transition back to work program.
• The benefits of working from home, with opportunities to spend quality time with the team at Chord in-person events throughout the year.
• To make an impact! We’re an early-stage company, which means there is space to champion ideas, and create and lead initiatives at any level in the Organization.
• This is a full-time, salaried position that includes Equity.