Data Engineer

🕒 March 18

🏄 California, Florida, +3 more states – Remote

🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $140k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Chord

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛍️ eCommerce

🤖 Artificial Intelligence

☁️ SaaS

eCommerce • Artificial Intelligence • SaaS

Chord is a data intelligence company that offers a comprehensive commerce data platform designed to empower brands with the tools to harness their data effectively. By providing a unified and AI-ready data infrastructure, Chord allows brands to make informed decisions, optimize their product strategies, and enhance marketing campaigns. The platform integrates data collection, interpretation, and harmonization to transform raw data into actionable insights. Through advanced analytics, AI-powered personalization, and seamless integrations, Chord supports commerce players in achieving sustainable growth in a competitive marketplace. The company specializes in modernizing order management, subscription handling, and dynamic pricing to streamline and enhance the digital commerce experience.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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.