Data Engineer

Position Title: Data Engineer
Location: Wauwatosa, WI (Hybrid)
Employment Type: Full-Time, Direct Hire
Sponsorship: Not Available
Work Environment: Onsite in Wauwatosa, WI, min 1 day a week, with required in-person components. Flexible remote days most of the week for candidates local to the greater Milwaukee area. Please note that this is not a remote position.
Compensation: Salary range based on skill and experience of $118,000-$130,000.
Client: Information Services Provider

Who We're Looking For:
A Data Engineer who will work every day to co-design and implement smart, scalable, real-world data solutions in a multi-cloud environment. Your skills in cloud technologies and modeling techniques for various kinds of data will drive our data strategy journey forward.

Primary Responsibilities:

• Discover and understand the data needs of the business teams and design high-performance, scalable solutions with minimal technical debt.


• Specialize in Azure data services, including SQL MI, Redis Cache, and PostgreSQL, along with other cloud-native services for data storage, processing, and analytics.


• Develop and deploy efficient, reliable data integration processes to enhance data flow across the organization.


• Implement strong and proactive security measures to protect sensitive data and ensure data governance.


• Analyze and optimize data architectures for tight performance and scalability.


• Master ongoing data quality throughout its lifecycle.


• Create strong relationships with product managers, developers, and other stakeholders to understand requirements and provide technical guidance.

Required Qualifications:

• Bachelor's degree in computer science or a related field preferred.


• Minimum of 5 years of hands-on experience with cloud providers, with a strong focus on Azure, AWS, or Google Cloud Platform.


• Proficiency in SQL, PostGres, ElasticSearch, Redis, and ETL processes.


• Expertise in building high-performance data pipelines and optimizing workflows for new features.


• Deep understanding of data warehousing, big data, and data lake concepts.


• Excellent coding skills in Python, Scala, and Java.


• Show clear passion and pride in your technical capabilities and the solutions you create.

Compensation and Benefits Details:
The final comp package will be determined during the interview process and is based on various factors, including, education, skill set, experience, and training. program.
Comprehensive benefits include medical, dental, and vision plans, flexible spending accounts, a 401k company match, PTO and sick leave, paid parental leave, paid volunteer time, enhanced disability coverage, and annual company-paid well-being benefits.
US-only national base pay ranges
$118,000-$130,000 USD