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Data Engineer

Jobot
Chicago, IL, United States
14 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$150,000.0 - $210,000.0
Working hours
Regular working hours
Job source
find.jobs

Tech stack

Amazon Web Services Bioinformatics Information Engineering Data Vault Modeling Data Warehousing Distributed Data Store Python (Programming Language) Standard Sql Snowflake Kubernetes

Requirements

  • 8+ years of Data Engineering experience
  • Strong Python and SQL
  • Distributed data and Kubernetes experience
  • AWS and/or GCP
  • Snowflake preferred
  • Experience working with Dimensional Data Modeling, such as Kimball, Data Vault, or Medallion Architecture required.
  • dbt and dagster/airflow chops
  • Must be willing to work onsite in Chicago when needed

Benefits & conditions

Salary: $150,000 - $210,000 per year, * Competitive base salary between $150k and $210k!

  • 401k match!
  • Bonus!
  • Competitive PTO!
  • Strong healthcare coverage!
  • Work from home / work remote most of the time!

About the company

We are a growing insurance tech company that is on the lookout for a talented Senior Data Engineer in the NYC area!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all
Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

How building an industry DBMS differs from building a research one thumbnail
30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

Understanding Kubernetes in a visual way thumbnail
29:05
World Congress 2026 Europe • about 2 months ago

Understanding Kubernetes in a visual way

Aurélie Vache

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means thumbnail
12:42
World Congress 2026 Europe • about 2 months ago

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means

Celeste Horgan

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