Data Engineer

Mitchell Martin Inc.; Hanover Township (IL); On-site; USD 68,000 - 81,000; Full time

Job summary

Mitchell Martin Inc. is seeking a Data Engineer in Hanover, IL for an onsite contract role (W2). You will design, build, and maintain scalable data pipelines and data stores while collaborating with stakeholders to meet data requirements and optimize workflows.

The ideal candidate will have strong Python and SQL skills and experience with cloud platforms, data governance, and data quality frameworks to drive data-driven decisions across the organization.

Qualifications

• Experience designing large-scale data platforms.
• Expertise in data warehousing and dimensional modeling.
• Advanced Python and SQL skills.
• Experience with cloud platforms and data processing tools.
• Experience with data governance and data quality frameworks.

Responsibilities

• Design, develop, and maintain scalable data pipelines for batch and real-time processing.
• Build and manage enterprise data lakes and data warehouses.
• Collaborate with stakeholders to understand and implement data requirements.
• Optimize data processing workflows for performance and scalability.
• Mentor junior engineers and conduct code reviews.

Skills

Python

SQL

Data modeling

Data warehousing

Cloud platforms

ETL/ELT

Data governance

Tools

Spark

Relational Databases

NoSQL Databases

ETL Tools

Job description

Data Engineer - Hanover, IL - Contract, W2 - $49-59 Per HR

Join our team as a Data Engineer based in Hanover. This onsite contract role involves designing and maintaining data pipelines, collaborating with stakeholders, and optimizing data workflows. Expertise in data engineering and cloud technologies is essential.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for batch and real-time processing.
• Build and manage enterprise data lakes and data warehouses.
• Collaborate with stakeholders to understand and implement data requirements.
• Optimize data processing workflows for performance and scalability.
• Mentor junior engineers and conduct code reviews.

Qualifications

• Strong experience in designing large-scale data platforms.
• Expertise in data warehousing and dimensional modeling.
• Advanced proficiency in Python and SQL.
• Experience with data governance and data quality frameworks.
• Experience with cloud platforms and data processing tools.

Core Technologies

Python | SQL | Spark | Relational Databases | NoSQL Databases | Cloud Platforms | ETL/ELT Tools