Staff Data Engineer

Jobot; Chicago (IL); Remote; USD 170,000 - 205,000; Full time

Benefits offered by this job

Annual performance bonus

Medical, dental, vision coverage

401k with 4% match

Unlimited PTO

Remote flexibility

Competitive compensation packages

Job summary

Jobot is hiring a highly skilled Principal Data Engineer to join our Data & Analytics team in a fully remote, US-wide position. You’ll design, build, and scale data pipelines and architectures to power enterprise analytics and data products.

The ideal candidate has deep experience with ELT development, dimensional modeling, and modern cloud data platforms, with ownership across the data lifecycle—from ingestion to curated data marts.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 5+ years of experience building ELT pipelines in a Data Warehouse environment.
• Strong experience with dimensional data modeling (Kimball, Data Vault, Medallion).
• Hands‑on expertise with dbt, Airflow or Dagster.
• Strong experience with Snowflake or similar cloud data warehouses, distributed data systems, Kubernetes environments.
• Deep understanding of Append‑only data modeling & point‑in‑time data structures, column‑oriented / analytical SQL modeling.
• Strong proficiency in Python, SQL.
• Experience implementing Test‑driven development (TDD) for data pipelines, Git‑based workflows and CI/CD best practices.

Responsibilities

• Design, build, and scale modern data pipelines and architectures to support analytics and data products.
• Own data lifecycle from ingestion through curated data marts, focusing on performance and data quality.
• Contribute to data mesh or data platform architecture discussions and implementation.

Job description

Fintech firm hiring remote Principal Data Engineer / Generous pay + benefits

Salary: $170,000 - $205,000 per year

About us

We are seeking a highly skilled Principal Data Engineer to join our Data & Analytics team. This individual will play a critical role in designing, building, and scaling modern data pipelines and architectures to support enterprise analytics, reporting, and data products.

The ideal candidate has deep expertise in ELT development, dimensional modeling, and modern cloud data platforms, with a strong focus on performance, scalability, and data quality. This is a highly technical, hands‑on role with significant ownership across the data lifecycle—from ingestion through curated data marts.

Why join us?

• Annual performance bonus
• Medical, dental, vision coverage
• 401k with 4% match
• Unlimited PTO
• Remote flexibility
• Competitive compensation packages

Job Details

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5+ years of experience building ELT pipelines in a Data Warehouse environment
• Strong experience with dimensional data modeling (Kimball, Data Vault, Medallion)
• Hands‑on expertise with dbt, Airflow or Dagster
• Strong experience with Snowflake or similar cloud data warehouses, Distributed data systems, Kubernetes environments
• Deep understanding of Append‑only data modeling & point‑in‑time data structures, Column‑oriented / analytical SQL modeling
• Strong proficiency in Python, SQL
• Experience implementing Test‑driven development (TDD) for data pipelines, Git‑based workflows and CI/CD best practices

Preferred

• Experience working within modern data mesh or data platform architecture
• Exposure to real‑time or streaming pipelines
• Experience supporting large‑scale analytics or BI environments

Eligibility and Diversity Statement

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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