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Senior Data Engineer

WorldlyUnited States - RemoteTechnology (Other)
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Salary
$135K – $165K
Job type
Full-time
Work mode
Remote
Posted
17 Sept 2026
Status
Open · checked 7d ago

About this role

Role Overview

Worldly is seeking a remote Senior Data Engineer based in the United States to build, operate, and scale the data systems that power internal analytics and customer-facing platforms. This full-time position is ideal for an experienced professional with a background in sustainability, data platforms, or analytics engineering who wants to contribute to global environmental supply chain intelligence.

Key Responsibilities

Own and manage the production data lake, utilizing a medallion architecture on Apache Iceberg, CDC ingestion streams, a Trino query layer, and an independent Postgres data warehouse.
Integrate graph databases with the warehouse, lake, and core databases while migrating legacy pipelines onto a unified, governed integration layer.
Build and maintain Dagster-orchestrated dbt pipelines featuring automated data quality tests, branch-based versioning, and scheduled builds.
Support generative AI workflows such as embeddings, similarity search, and LLM-based extraction to ensure data infrastructure remains AI-ready.
Handle pipeline health tasks, including monitoring latency SLAs, detecting schema drift, and managing GitOps and Terraform infrastructure backups.
Operate reporting layers with policy-based data access and standard metric definitions across dashboards.

Requirements

Minimum of five years of professional experience in data engineering, data platform engineering, or analytics engineering.
Advanced expertise in SQL and relational database management systems like Postgres and MongoDB.
Demonstrated production experience working with graph databases and integrating graph models with data warehouses and lakes.
Hands-on familiarity with open table formats, medallion lake architectures such as Apache Iceberg, and distributed SQL engines like Trino or Presto.
Working knowledge of streaming and change data capture pipelines utilizing tools like Kafka, Debezium, or Flink.
Strong Python programming abilities focused on operational tooling, automation, and pipeline development.
Experience using dbt alongside modern schedulers such as Dagster or Airflow.
Practical background with AWS infrastructure services like EKS, IAM, and S3 deployed via Terraform, Docker, and GitOps workflows like ArgoCD.
Experience handling production data operations, incident triage, root-cause analysis, and automated data quality controls.
Familiarity with data security standards, encryption, and PII protection.

Nice to Have

Experience utilizing BI tools that support per-user and policy-based data access, such as Superset with SSO impersonation.
Familiarity with policy-based access control frameworks like OPA and identity platforms including Keycloak.
Knowledge of multi-region data residency requirements for separate geographic handling.

Skills and Tools

Python
SQL
AWS
Docker
LLM and NLP
Kafka
Airflow
dbt
Terraform

Salary and Benefits

Annual base salary ranging from $135,000 to $165,000 in USD.
Performance-based annual bonus incentive of 10%.
Incentive stock option package.
Comprehensive medical, dental, and vision insurance with 90% of employee premiums and 60% of dependent premiums covered.
Company-sponsored 401(k) retirement plan featuring up to a 4% match for United States employees.
100% paid parental leave and unlimited paid time off alongside 12 paid company holidays.
Work-from-home stipends and office supply support.

About the Company

Worldly operates as a public benefit corporation providing comprehensive environmental, social, and governance impact intelligence to global brands, retailers, and manufacturers. Backed by mission-aligned investors and a dedicated global team spanning more than fifteen countries, the organization delivers transparent supply chain data to drive meaningful industry transformation.

How to Apply

Interested candidates should submit their application directly through the official Worldly careers page.

Skills and tech stack

PythonLLMNLPDockerAWSSQLKafkaAirflowGenerative AI

Questions candidates ask

What is the salary range for the Senior Data Engineer role?

The annual base salary ranges from $135,000 to $165,000 USD, supplemented by a 10% annual bonus incentive and stock options.

Is this position fully remote?

Yes, this is a remote position based in the United States, though occasional travel may be required for business needs, team collaboration, or company events.

What level of experience is required?

Candidates must have at least five years of professional experience in data engineering, analytics engineering, or data platform engineering.

What technical skills are most important for this job?

Key requirements include advanced SQL, Python programming, experience with Apache Iceberg medallion architectures, streaming or CDC pipelines, production graph databases, AWS, and dbt orchestrated by tools like Dagster.

What benefits does Worldly offer to employees?

US employees receive medical, dental, and vision coverage where Worldly pays 90% of employee premiums, a 401(k) with up to a 4% match, incentive stock options, 100% paid parental leave, unlimited PTO, and work-from-home stipends.

Ready to apply?

The application is on the official Worldly careers page.

Apply on company site