Data Engineer

Chord Commerce, Inc; New York (NY); Remote; USD 139,000 - 198,000; Full time

Job summary

Join Chord as a Data Engineer to build cutting-edge data infrastructure that empowers e-commerce brands. You will work in a remote-first environment with a growing team, ensuring data quality and accessibility while having the opportunity to innovate in a fast-paced setting. This is a unique chance to contribute to a mission-driven team focused on making commerce accessible.

Benefits

100% employee Medical Benefits coverage

Flexible PTO

Annual work-from-home stipend

Generous Parental Leave

Qualifications

• Demonstrated ability to build and manage data infrastructure at scale.
• Experience with building custom ingestion pipelines.
• Proficient in data quality frameworks and monitoring.

Responsibilities

• Build and maintain scalable data infrastructure and pipelines.
• Ensure data pipelines are optimized for performance and accuracy.
• Collaborate with cross-functional partners to develop data solutions.

Skills

SQL

Python

Bash scripting

DataOps tools

Workflow orchestration

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

AWS

Dagster

Terraform

Job description

Chord offers advanced data and ecommerce infrastructure for modern brands that want to have cutting-edge technology and unified data without a large engineering team. We like to think of our product as the tech engine for high-velocity growth.Backed by top investors, Chord is a SaaS company led by industry veterans, and we’re seeking smart, focused, creative talent to help us realize our vision.

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

The Opportunity

We’re looking for a Data Engineer to elevate Chord as the leader in customer data platforms . You’ll join a growing team that is building a platform to empower modern and omnichannel brands with smart technology, unique customer experiences, and insightful data.

In this role, you will build foundational infrastructure that fuels best-in-class insights and a reporting toolkit intended to empower our customers with solid insights to drive their business. As our next Data Engineer, you will be a key member of the Data team, reporting to the Chief Data Officer.

As 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.

To be successful in this role, you’ll need:

• Demonstrated ability to build, manage, and optimize core data infrastructure at scale in a multi-tenant environment.
• To be excited by the opportunity to optimize, automate, and innovate across data pipelines and infrastructure to improve scalability, efficiency, and reliability.
• Proficiency in SQL and strong programming skills in Python, with experience in Bash scripting for automation and workflow management.
• Experience with cloud-based Snowflake and AWS ecosystems and products, especially ECS, Lambda, S3, and IAM.
• Experience building and maintaining custom ingestion pipelines (dlt).
• 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.
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You'll love this role if you are:

• 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.

Working at Chord, you can expect:

• An investment in your physical and mental well-being; we offer 100% employee Medical Benefits coverage and a percentage towards 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 remotely.
• Generous Parental Leave with a customizable transition back to work program.
• 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. For US-based employment: the expected salary range for this position is $139,500 - $198,000/year USD. For Canada-based employment: $ 191,331.26 - $271,566.94 /year CAD based on current exchange rates. We set standard ranges for all roles based on function, level, and geographic location, benchmarked against similar-stage growth companies in our market. This salary range represents the full salary range for the position. The starting base pay offered may vary depending on factors including experience, expertise, market demands, and internal parity.

About your application and the interview process

Chord is an equal opportunity employer, and we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you’re unsure about your qualifications for this position, we still encourage you to apply.

Our interview process for the role begins with an exploratory conversation with a member of the hiring team. After that, we’ll invite you to Zoom sessions with a range of stakeholders from across our organization. We aim to get to know you and allow you to learn more about our team and product while being respectful of your time.