Remote Data Engineer: End-to-End Pipelines & Data Trust

EULER; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

EULER is seeking a Data Engineer to own the health of the company’s data end to end, from capture to structure, validation to protection. You’ll work across customer implementations to normalize disparate CRM vocabularies and define canonical data models.

You will set data standards, build robust pipelines, and enable analytics through well-documented datasets. The role requires strong SQL, production data experience, and English communication.

Qualifications

• Strong SQL with window functions, careful aggregation.
• Experience owning production data pipelines end to end.
• Some software engineering ability to write, test and review pipeline code.
• Scepticism and the habit of questioning numbers.
• Ability to work independently and set priorities for your domain.
• Clear written communication and professional working English.
• Availability during US East Coast working hours.

Responsibilities

• Data capture: Define what we instrument and why, and work with engineering and product to get it recorded well the first time.
• Data quality and integrity: Build the validation and reconciliation that let us stand behind every number we report.
• Privacy and compliance: Own our data protection and anonymization practices, and keep our commitments to customers clear, documented and defensible.
• Data modelling and structure: Design the canonical models and taxonomies that make data consistent across customers.
• Analytics enablement: Build the datasets and documentation behind our reporting, so teams and customers get numbers they can act on.
• Documentation: Make the data understandable to people who did not build it.

Skills

Strong SQL

Data pipeline ownership

Software engineering fundamentals

Written communication

English proficiency

US-East hours availability

Tools

dbt

PostgreSQL

DuckDB

Parquet

Job description

EULER is seeking a Data Engineer to own the health of the company’s data end to end, from capture to structure, validation to protection. You’ll work across customer implementations to normalize disparate CRM vocabularies and define canonical data models.

You will set data standards, build robust pipelines, and enable analytics through well-documented datasets. The role requires strong SQL, production data experience, and English communication.