Data Engineer

About Chord

Commerce isn’t a generic AI problem. It’s deeply contextual: attribution rules, margin constraints, inventory realities, customer nuance, brand guardrails, and decision trade-offs are exactly where most “AI analytics” products break. Chord exists to solve that by giving AI a living operational understanding of how the business actually works — so agents can be trusted to operate, not just analyze. At the core of Chord is a Context Graph: a system of record not only for commerce data, but for decisions — capturing the rules, outcomes, and precedent that make automation safe and scalable.

That foundation powers Copilot today (plain-language questions → trusted reasoning), and compounds into agentic operations tomorrow (insights → recommended actions → execution with human approval). Backed by top investors and led by experienced operators, Chord is an AI company focused on solving real problems for commerce teams. We’re looking for thoughtful, detail-oriented, and impact-driven people who want to help shape the future of how commerce teams use data and AI.

Our company is proudly remote‑first, distributed across North America.

• Describe the role and team the candidate will be joining

• 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.

• 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 Data Ops tools, such as Docker, Git Hub Actions, and Terraform.
• Experience with AI or ML is a plus.

• 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.

• 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…