Senior Data Engineer – Remote, AWS/GCP, Snowflake

Jobot; Chicago (IL); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

401k match

Bonus

PTO

Healthcare coverage

Remote work most of the time

Job summary

Jobot is seeking a Senior Data Engineer in the Chicago area to design and optimize data pipelines using Python, SQL, and modern data tools. You will work with Kubernetes, Snowflake, and cloud platforms to enable scalable analytics and reporting.

The role requires 8+ years of experience in data engineering, with strong skills in dimensional modeling and orchestration tools like Airflow or Dagster. Some onsite presence in Chicago is required, with substantial remote work options.

Qualifications

• 8+ years of Data Engineering experience.
• Strong Python and SQL.
• Distributed data systems and Kubernetes experience.
• AWS and/or GCP experience.
• Snowflake preferred.
• Dimensional Modeling (Kimball, Data Vault, or Medallion Architecture) required.
• dbt and workflow orchestration tools (Airflow/Dagster) familiarity.

Responsibilities

• Design and build scalable data pipelines and data models.
• Collaborate with analytics and product teams to define data requirements.
• Maintain data quality, governance, and performance monitoring.

Skills

Python

SQL

Kubernetes

AWS

GCP

Snowflake

Dimensional modeling

Tools

dbt

Airflow

Dagster

Job description

Jobot is seeking a Senior Data Engineer in the Chicago area to design and optimize data pipelines using Python, SQL, and modern data tools. You will work with Kubernetes, Snowflake, and cloud platforms to enable scalable analytics and reporting.

The role requires 8+ years of experience in data engineering, with strong skills in dimensional modeling and orchestration tools like Airflow or Dagster. Some onsite presence in Chicago is required, with substantial remote work options.