Milwaukee, WI

Data Jobs in Milwaukee, WI

2 jobs found

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Today

Senior Data Analytics Engineer

New Resources Consulting Milwaukee, WI

Milwaukee, WI

Today

Full time Senior Analytics Azure

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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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4d ago

Associate Data Engineer

Baker Tilly Advisory Group, LP Milwaukee, WI

Milwaukee, WI

4d ago

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

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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

Senior Data Analytics Engineer

Associate Data Engineer

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