Data Analytics Engineer

Senior Data & Analytics Engineer (Hybrid – Milwaukee Area)

About Codeworks

Codeworks, an LRS Company, has over 25 years of experience serving Fortune 1000 companies in Wisconsin as well as our clients’ national locations. Our recruiting team excels at evaluating, advising, and connecting IT professionals with new opportunities that will satisfy their expectations regarding income and opportunity for growth.

At Codeworks, we're committed to diversity, equity, and inclusion in our workforce and beyond. We believe in equal opportunities and value the unique perspectives that every individual brings to our team. Join us in creating an inclusive, innovative, and collaborative workplace where your talents can thrive.

Overview

Codeworks is partnering with a leading Milwaukee-area organization to identify a Senior Data & Analytics Engineer. This is a high-impact, hybrid role where you will work at the intersection of data engineering and business engagement—owning solutions from concept through delivery.

This position is ideal for a senior-level professional who thrives in a 50/50 blend of hands-on engineering and stakeholder collaboration, and who is comfortable leading data initiatives in complex enterprise environments.

Work Environment

• Hybrid schedule – required onsite 3 days per week in downtown Milwaukee, WI
• Highly collaborative, stakeholder-facing environment
• Opportunity to grow into a lead data role

Please note: This position is open to W-2 employees only. C2C (Corp-to-Corp) arrangements are not permitted for this role.

Key Responsibilities

• Lead stakeholder engagement, business discovery, and requirements gathering
• Design and build scalable, end-to-end data and analytics solutions
• Develop and maintain data pipelines and curated datasets within a modern cloud data platform
• Translate business needs into well-architected data models and solutions
• Partner cross-functionally with business and technical teams to prioritize and deliver roadmap initiatives
• Ensure strong data governance, quality, lineage, and metadata practices
• Support downstream analytics and reporting needs (e.g., BI tools such as Power BI)
• Contribute to best practices in data architecture, modeling, and engineering standards

Required Qualifications

• 7+ years of experience delivering enterprise data and analytics solutions
• Proven experience leading stakeholder engagement and influencing business partners
• Strong background in data warehousing, data modeling, and analytics engineering
• Experience designing cloud-based data platforms and solutions
• Advanced SQL development and optimization skills
• Solid understanding of data governance, data quality, and metadata management
• Experience working in Agile environments and leading cross-functional initiatives

Preferred Technical Skills

• Snowflake
• dbt (highly preferred)
• Power BI (or similar BI tools)
• Dimensional modeling, relational modeling (3NF)
• Data warehousing methodologies (Kimball, Data Vault)
• Git-based version control
• CI/CD pipelines and automated testing
• Data observability and monitoring tools

Work Environment

• Hybrid schedule (Milwaukee area) – 2–3 days onsite per week
• Highly collaborative, stakeholder-facing environment
• Opportunity to grow into a lead data role

Compensation & Benefits

Codeworks discloses that the anticipated hourly pay range for this position is between $50.00 and $75.00./hr for the contract portion before converting to full-time employee. This range is subject to change based on job-related factors, including client requirements where applicable. All full-time Codeworks employees are eligible to enroll in the company’s medical, dental, vision, and life insurance plans.

Codeworks, an LRS Company, is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status or protected veteran status.

In some cases, LRS Consulting uses generative artificial intelligence (“AI”) in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.