Senior Data Engineer: Data Platform & Analytics

iFlow Inc.; Normal (IL); On-site; USD 140,000 - 180,000; Full time

Job summary

iFlow Inc. is hiring a Senior Data Engineer to design, build, and operate scalable data pipelines and datasets that power analytics across programs and sites.

You will work with Databricks, Fivetran, and dbt to ensure data quality, governance, and reliable insights in a fast-paced environment.

Collaborate with analytics engineers and product teams to translate requirements into robust data products and governance standards.

Qualifications

• 6+ years of experience in Data/Analytics/Software Eng working with production data systems.
• Strong SQL and Python for building scalable data pipelines.
• Hands-on experience building ELT pipelines using modern cloud platforms (Databricks preferred).
• Deep experience with dbt, model development, testing, and CI/CD integration.
• Experience with managed ingestion tools such as Fivetran, Airbyte, or similar.
• Experience designing and operating production-grade data pipelines with monitoring.

Responsibilities

• Design, build, and operate data ingestion pipelines into Databricks using Fivetran/AWS/Databricks and ELT patterns.
• Develop and maintain dbt models for operational, quality, and ramp metrics.
• Set up data quality checks, audits, and monitoring for freshness and completeness.
• Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance and cost.
• Collaborate with analytics engineers and product teams to turn models into data products.
• Contribute to the semantic layer and catalog for reliable data discovery and use by GenAI tools.
• Drive improvements in upstream systems and schemas to reduce data issues at the source.

Skills

SQL

Python

Databricks

dbt

Fivetran

Airbyte

Data pipelines

CI/CD

Collaboration

Education

Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related field

Tools

Databricks

Fivetran

dbt

AWS

Airbyte

Job description

iFlow Inc. is hiring a Senior Data Engineer to design, build, and operate scalable data pipelines and datasets that power analytics across programs and sites.

You will work with Databricks, Fivetran, and dbt to ensure data quality, governance, and reliable insights in a fast-paced environment.

Collaborate with analytics engineers and product teams to translate requirements into robust data products and governance standards.