Senior Data Engineer

Are you ready to lead data modernization initiatives that leverage cutting-edge technologies to drive business growth across North America?

About the Role

This position involves designing, developing, and delivering impactful BI, ETL, and data warehouse solutions. It plays a crucial role in the organization's data modernization strategy by utilizing Microsoft Azure, Databricks, and AI automation to enhance data accuracy and operational efficiency.

Key Responsibilities

• Design and deliver impactful BI and data warehouse solutions supporting business growth.
• Drive data modernization initiatives by leveraging Azure, Databricks, and AI automation to improve data accuracy and operational efficiency.
• Build scalable data engineering pipelines to enhance enterprise analytics and reporting.
• Collaborate with cross-functional teams to develop, test, and implement data warehouse applications.
• Maintain high-quality solutions through code reviews, coding standards, and ETL testing.
• Provide technical guidance to a team of Data Engineers, promoting best practices and ensuring strong performance.

Minimum Requirements

• Bachelor's degree in Information Technology or a related field.
• 8 years of experience in data engineering.
• 5 years of experience developing enterprise ETL/data integration solutions using Informatica PowerCenter, SSIS, Databricks, or similar technologies.
• Strong hands-on experience with data integration and ETL, primarily using Informatica.
• Advanced SQL skills, including writing complex queries and database performance tuning.
• Strong troubleshooting skills to identify and resolve data issues.
• Experience with data warehousing, BI solutions, and enterprise reporting.
• Exposure to Python, PySpark, and Databricks is preferred.

Preferred Qualifications

• Deep Informatica PowerCenter and enterprise ETL/data integration experience.
• Strong SQL development and performance tuning capabilities.
• Experience building and supporting enterprise data pipelines and warehouse solutions.
• A solid understanding of BI and reporting environments.
• Exposure to Azure, Databricks, Python, and PySpark.

Work Environment

• Work Location: Onsite in Waukegan, IL, five days per week.
• Interview Process: Initial interview will be conducted remotely.
• Employment Preference: Full-time direct hire preferred; contract-to-hire is also an option.
• Visa Considerations: Candidates requiring sponsorship may be considered, provided they will not require employer sponsorship by the time of conversion (approximately 12 months for contract-to-hire).

At Talent Wave Associates, we connect outstanding talent with exceptional opportunities. We're proud to be an Equal Opportunity Employer and are committed to fostering an inclusive, people-first recruiting experience. Ready to ride the wave of opportunity? Apply today!

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our applicant tracking system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
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