Senior Data Engineer: End-to-End Pipelines Leader (Remote US)

Dataspace; Chicago, New York (IL, NY); Remote; USD 160,000 - 200,000; Full time

Benefits offered by this job

401k with 5% match

Unlimited PTO

Job summary

Dataspace is seeking an experienced data engineer for a growing insurer, owning pipelines from source to target and driving continuous improvement.

You'll work with a modern stack (dbt, Dagster, Databricks) and bring strong SQL, Python, and orchestration skills, plus Snowflake experience. The role is permanent, full-time, and remote-friendly within the US, with preference for candidates near NYC or Chicago.

Qualifications

• Proficiency in SQL, dbt, and Python required.
• Experience with data pipelines and orchestration tools (Dagster, Airflow, or Databricks).
• Snowflake data warehouse experience preferred.

Responsibilities

• Interpret business requirements, design pipelines, implement them, and seek opportunities for continuous improvement.
• Own pipelines from source to target end-to-end using modern data stack.

Skills

SQL

dbt

Python

Pipeline construction

Dagster

Airflow

Databricks

Tools

Snowflake

Job description

Dataspace is seeking an experienced data engineer for a growing insurer, owning pipelines from source to target and driving continuous improvement.

You'll work with a modern stack (dbt, Dagster, Databricks) and bring strong SQL, Python, and orchestration skills, plus Snowflake experience. The role is permanent, full-time, and remote-friendly within the US, with preference for candidates near NYC or Chicago.