Milwaukee, WI

Data Jobs in Milwaukee, WI

3 jobs found

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23d ago

Data Engineer - Senior Associate

PRICE WATERHOUSE COOPERS Milwaukee, WI

Milwaukee, WI

23d ago

$77k - $202k/yr Full time Senior Analytics Apache Airflow

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Job Description

PwC is seeking a Senior Associate Data Engineer in Milwaukee with a hybrid work arrangement. The role centers on designing scalable data infrastructure and pipelines to enable efficient processing and analysis for clients, while also fostering client connections and taking on leadership responsibilities.

Responsibilities

Design and implement data infrastructure and systems that enable efficient data processing and analysis
Develop and maintain data pipelines, integration, and transformation solutions to support client needs
Utilize cloud services such as Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
Apply data architecture development and database management skills to optimize data solutions
Leverage Apache Airflow and Apache Hadoop for scalable data processing and workflow management
Build and manage data lakes and data warehouses to support large-scale data storage and retrieval
Confirm data quality and validation through rigorous testing and performance tuning
Collaborate with clients to understand data requirements and deliver actionable insights
Utilize Databricks Unified Data Analytics Platform for advanced data analytics and visualization
Implement data security best practices to protect sensitive information and maintain compliance
Apply dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
Support the development of data strategies to drive business growth and informed decision-making

Requirements

Bachelor's degree or higher
At least 2 years of experience in data engineering or related field

Technologies

Amazon Web Services (AWS)
Azure Data Factory
Apache Airflow
Apache Hadoop
Databricks Unified Data Analytics Platform

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

What Sets You Apart

Preference for study areas such as Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
Proficiency with data engineering platforms like Databricks
Experience with cloud platforms such as AWS and Microsoft Azure
Strength in data architecture development and data modeling
Experience implementing data pipelines and integration strategies
Familiarity with navigating complex data environments using Apache Hadoop and Airflow
Strong critical thinking to address data-related challenges

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1mo ago

Senior Data Analytics Engineer

New Resources Consulting Milwaukee, WI

Milwaukee, WI

1mo ago Closed

Full time Senior Analytics Azure

This position is no longer accepting applications (closed Jul 7, 2026).

Job Description

New Resources Consulting seeks a Senior Data Analytics Engineer to lead the design and delivery of enterprise data and analytics solutions. Based in Milwaukee, WI with a hybrid work arrangement, this role collaborates across business and technology teams to shape data requirements, build scalable architectures, and drive analytics initiatives from concept through implementation.

Responsibilities

Spearhead the end-to-end design, architecture, and delivery of enterprise data and analytics solutions aligned with strategic priorities and decision-making.
Collaborate with business stakeholders, technology leaders, and cross-functional teams to articulate data requirements and success metrics.
Develop and establish scalable data architectures that support evolving data and analytics needs.
Steward analytics initiatives from idea to production, ensuring outcomes meet business goals.

Requirements

Experience in data architecture, data modeling, and enterprise data design.
Advanced SQL and ETL/ELT development using tools such as SSIS, Informatica, dbt, or similar platforms.
Proficiency with BI and analytics platforms including Power BI, Tableau, or Looker.
Experience with cloud data platforms and modern data warehousing technologies such as Snowflake, Databricks, Azure, or AWS.

Technologies

SSIS
Informatica
dbt
Power BI
Tableau
Looker
Snowflake
Databricks
Azure
AWS

Benefits

Professional growth through education and thought leadership opportunities
Consultant Education Reimbursement program for most roles
Access to our technical and charitable communities
Recognition as a Best Places to Work, Top Workplaces, and Best and Brightest award winner

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1mo ago

Associate Data Engineer

Baker Tilly Advisory Group, LP Milwaukee, WI

Milwaukee, WI

1mo ago Closed

$86k - $163k/yr Full time Analytics Automation Azure Data Factory

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

The Associate Data Engineer collaborates with cross-functional teams to design, build, and optimize data platforms for mid-market and enterprise clients. Focusing on the Microsoft stack, the role leverages Azure, Synapse, and Microsoft Fabric to convert raw data into analytics-ready assets for dashboards, advanced analytics, and AI use cases.

Location

Milwaukee, WI (onsite)

Compensation

USD 85,910 - 162,890 per year

Responsibilities

Data engineering: Build scalable ETL/ELT pipelines using T-SQL, Python, Azure Data Factory or Fabric Data Pipelines, and Databricks; apply best practice patterns for performance, security, and cost control.
Modeling and storage: Design relational and lakehouse models; implement Fabric OneLake shortcuts, medallion-style layers, and dimensional/semantic models for Power BI.
Quality and governance: Create automated data quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub.
Client delivery: Gather requirements, demonstrate iterative deliverables, document technical designs, and translate complex concepts for non-technical audiences.
Continuous improvement: Explore new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators. Collaborate with clients and internal stakeholders to design scalable data engineering solutions.

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
2–3 years delivering production data solutions, preferably in a consulting or client-facing role.
Strong T-SQL for data transformation and performance tuning.
Python for data wrangling, orchestration, or notebook-based development.
Hands-on ETL/ELT with at least one Microsoft service (Azure Data Factory, Synapse Pipelines, or Fabric Data Pipelines).
Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake) preferred.
Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies preferred.
Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks preferred.
Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint) preferred.

Technologies

T-SQL
Python
Azure Data Factory
Fabric Data Pipelines
Databricks
Fabric OneLake
Power BI
Azure DevOps
GitHub
Microsoft Fabric
Azure Synapse
Azure
Notebooks
Delta Lake
Dynamics 365
Workday
Costpoint
Terraform
Bicep
YAML pipelines
Power BI DirectLake

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Data Jobs in Milwaukee, WI

Data Engineer - Senior Associate

Senior Data Analytics Engineer

Associate Data Engineer

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