Senior Data Engineer (Azure Databricks)

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

Senior Data Engineer (Azure Databricks)

Location: Chicago, IL (Hybrid 3 days onsite, 2 days remote)
Job Type: Full-Time / Direct Hire
Salary: $148,000 - $164,000 (DOE)

We are seeking a highly skilled Senior Data Engineer to join a growing data engineering team. The ideal candidate will have strong experience designing, building, and maintaining scalable end-to-end data pipelines in modern cloud environments, with expertise in Azure Databricks.

Responsibilities

• Design, develop, and maintain scalable end-to-end data pipelines.
• Build data ingestion, validation, transformation, and governance frameworks.
• Develop reusable, metadata-driven data pipeline solutions.
• Optimize data processing performance and troubleshoot complex data issues.
• Design and implement scalable data architecture to support business needs.
• Collaborate with cross-functional teams to deliver reliable data solutions.
• Implement data quality, monitoring, and testing best practices.
• Work with cloud-native data platforms and services to support enterprise analytics.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• 6+ years of hands‑on experience building and owning end‑to‑end data pipelines.
• Expert‑level proficiency in …
• …

Preferred Qualifications

• Strong experience with Azure Databricks (required/preferred platform).
• Experience with Azure Data Factory and other Azure cloud data services.
• Familiarity with enterprise data engineering best practices and cloud-native architectures.

Work Arrangement

• Hybrid schedule: 3 days onsite per week in Chicago, IL.
• Local candidates are strongly preferred.