Hybrid Azure Data Engineer: Synapse, Databricks & PySpark

ITMC Systems, Inc; Jackson (MI); Hybrid; USD 110,000 - 150,000; Full time

Job summary

ITMC Systems, Inc. is seeking a Data Engineer to design and maintain end-to-end data pipelines using Azure Data Factory, Synapse, and Databricks in a Hybrid Jackson, MI environment.

The role focuses on PySpark/Python development for delta loads, complex SQL procedures, and API data ingestion, with GitHub CI/CD deployments and Power BI integration. Collaboration across analytics teams is required.

Qualifications

• Advanced Python and PySpark programming skills with API ingestion and delta loads.
• High proficiency in writing complex SQL stored procedures and dynamic SQL.
• Hands-on experience with GitHub/DevOps and CI/CD deployment pipelines.
• Familiarity with Power BI and data visualization concepts.
• Hybrid work availability: 3 days onsite per week in Jackson, MI.

Responsibilities

• Design, construct, and maintain end-to-end data integration pipelines using Azure data services.
• Build complex pipeline orchestrations with control flows, lookups, data flows, and functions.
• Write, test, and debug high-performance PySpark and Python code for data processing.
• Ingest data from external REST APIs and relational databases (Oracle, MySQL, SQL Server).
• Manage automated code deployments across Dev → QA → Prod with CI/CD.

Skills

Python

PySpark

API ingestion

Delta loads

T-SQL / dynamic SQL

GitHub/DevOps

CI/CD pipelines

Power BI

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Databricks

Power BI

SQL Server / Oracle / MySQL

GitHub

Job description

ITMC Systems, Inc. is seeking a Data Engineer to design and maintain end-to-end data pipelines using Azure Data Factory, Synapse, and Databricks in a Hybrid Jackson, MI environment.

The role focuses on PySpark/Python development for delta loads, complex SQL procedures, and API data ingestion, with GitHub CI/CD deployments and Power BI integration. Collaboration across analytics teams is required.