Senior Data Engineer, Azure Databricks (Hybrid Chicago)

Finoit Inc; Chicago (IL); Hybrid; USD 148,000 - 164,000; Full time

Job summary

Finoit Inc. in Chicago, IL is seeking a Senior Data Engineer with Azure Databricks expertise to design, build, and maintain scalable end-to-end data pipelines in a hybrid environment (3 days onsite, 2 days remote).

You will own data ingestion, validation, transformation, governance, and performance optimization, collaborating with cross-functional teams to deliver reliable analytics-ready datasets for enterprise use, in line with cloud-native best practices.

Qualifications

• 6+ years hands-on experience building end-to-end data pipelines.
• Bachelor's degree in CS, Engineering, or Data Science.
• Expert-level proficiency in data engineering and cloud data platforms.

Responsibilities

• Design, build, and maintain scalable end-to-end data pipelines.
• Develop ingestion, validation, transformation, and governance frameworks.
• Build reusable metadata-driven data pipeline solutions.
• Optimize data processing performance and troubleshoot complex issues.
• Collaborate with cross-functional teams to deliver reliable data solutions.
• Implement data quality, monitoring, and testing best practices.

Skills

Data pipelines design

Cloud data platforms

Data processing optimization

Collaboration across teams

Governance practices

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Azure Databricks

Azure Data Factory

Cloud-native data services

Job description

Finoit Inc. in Chicago, IL is seeking a Senior Data Engineer with Azure Databricks expertise to design, build, and maintain scalable end-to-end data pipelines in a hybrid environment (3 days onsite, 2 days remote).

You will own data ingestion, validation, transformation, governance, and performance optimization, collaborating with cross-functional teams to deliver reliable analytics-ready datasets for enterprise use, in line with cloud-native best practices.