Top Data Engineer Jobs in Milwaukee, WI

As a Senior Associate, you will design data solutions, manage ecosystems, mentor junior members, and maintain high standards while building client relationships. The role requires analyzing complex problems and delivering quality work.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

As a Data Engineer, you'll design and manage ETL workflows using Informatica, ensuring high data quality, writing optimized SQL queries, and collaborating with teams for production deployments.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

Build and operate reliable batch and streaming data pipelines from OT and enterprise systems into the UNS and analytics platforms. Integrate lab and shop-floor equipment and enterprise apps, implement CI/CD and IaC, enforce security and compliance (GxP/21 CFR Part 11), establish observability and runbooks, and collaborate with data science and stakeholders to define data contracts and reusable integration patterns.

As a Data Engineer, you'll design and implement data pipelines on Google Cloud, manage cloud infrastructure, ensure data quality, and enable analytics for marketing insights.

The Data Engineer will design and maintain data pipelines, optimize SQL queries, implement data workflows, and ensure data quality. The role demands collaborative problem-solving and technical communication skills to support analytics and business intelligence efforts.

The role involves writing and deploying scripts for data collection, transforming data sets, diagnosing bugs, and collaborating with other engineers using agile principles.

Design, build, and optimize ETL pipelines and data workflows. Collaborate with teams to translate requirements into data solutions, ensuring data quality and efficiency.

The Senior Data Engineer develops and maintains data pipelines, evaluates business requirements, integrates data, ensures quality, and collaborates with teams to fulfill data infrastructure needs.

As a Data Engineer II, you will develop and operationalize data pipelines, manage data ingestion and transformation, and ensure data quality for analytics. You will also collaborate with DevSecOps for CI/CD and enhance data solutions.

Develops and operationalizes data pipelines, engages with DevSecOps, and ensures data quality for analytics at Centene.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Data Engineer will design and maintain data pipelines, develop data lakehouse solutions, ensuring data quality and collaborating with analysts to resolve data issues.

Intern will gain hands-on experience in data engineering by working with technologies like Databricks, SQL, and Azure. Responsibilities include technical proficiency development and participation in AI projects.

The Principal Data Engineer will lead the Data Resolution team, focusing on complex data challenges using Spark, system architecture, and mentorship, to optimize graph data pipelines.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

The Senior Data Engineer II will design and maintain scalable data pipelines, collaborate with teams on machine learning workflows, and ensure data accessibility across systems.