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Sr Azure Data Engineer Jobs in Wisconsin (NOW HIRING)

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$114K - $138K/yr

As a Sr. Data Engineer, you will design, build, and support scalable data solutions that enable ... Experience working in cloud environments such as Azure or AWS, including data storage, compute ...

Urus

Senior Data Engineer

Watertown, WI

$101K - $137K/yr

The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This ...

Farm Systems

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This ...

AgSource

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This ...

AgSource

Senior Data Engineer

Watertown, WI · On-site +1

$101K - $137K/yr

The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This ...

1 point system

Senior Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Cloud data platforms (Azure preferred; AWS/GCP acceptable) * Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent * Object storage-based data lakes * Parquet format * Lakehouse concepts (Iceberg ...

Stellix

Senior Data Engineer III

Foxboro, WI · On-site

$130K - $160K/yr

The Position We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics ... Azure, GCP) and modern data warehouse technologies (Snowflake, Databricks, Redshift, BigQuery)

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate ... Exposure working with major cloud platforms (GCP, AWS, or Azure) * Familiarity and experience with ...

Ontech Talent

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

TOGAF, ITIL, CBIP, PMP, and/or Microsoft Data Engineering / Development / Architecture certifications. * Familiarity with Azure API Management, Infor ION API Gateway, MuleSoft, Boomi, Apigee, Kong ...

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

This is MLG's first-ever Analytics Engineer hire, supporting the modernization of reporting ... Experience with Azure Data Factory, Azure Functions, Microsoft Fabric, Microsoft Purview, or ...

Pwc

Data Strategy-Manager

Milwaukee, WI

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

OverviewThe Junior Data Engineer supports the design, development, and maintenance of data ... Azure, or GCP)Familiarity with ETL tools or orchestration frameworks (Airflow, dbt, Fivetran, etc ...

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Sr Azure Data Engineer information

What is a Sr Azure Data Engineer?

A Sr Azure Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft Azure's cloud platform. They focus on creating scalable data pipelines, integrating data from various sources, and ensuring data quality and security. Senior Azure Data Engineers often work with technologies like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, and they collaborate with data scientists and business analysts to support data-driven decision-making. Their expertise helps organizations leverage cloud-based data architectures for improved performance and scalability.

What are the key skills and qualifications needed to thrive as a Sr Azure Data Engineer?

To excel as a Sr Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud data architectures, and a strong command of SQL and programming languages, typically complemented by a degree in computer science or a related field. Proficiency with Azure services such as Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this role. These skills ensure the efficient design, implementation, and maintenance of scalable data solutions that meet business needs.

What are some typical challenges Sr Azure Data Engineers face when managing large-scale cloud data solutions?

Sr Azure Data Engineers often encounter challenges such as optimizing data pipelines for performance and cost efficiency, ensuring data security and compliance in cloud environments, and integrating diverse data sources across on-premises and cloud systems. Additionally, they may need to troubleshoot complex data flow issues and stay updated with rapidly evolving Azure services. Collaborating closely with data scientists, architects, and business stakeholders is also essential to deliver scalable, business-focused solutions.

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Sr Azure Data Engineer jobs near you
Infographic showing various Sr Azure Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Dynamic Lifecycle Innovations

Onalaska, WI • On-site

$85K - $120K/yr

Full-time

Medical, Retirement, PTO

Posted 19 days ago

Dynamic Lifecycle Innovations rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 91 rated recycling and waste

Job description

Senior Data Engineer
At Dynamic Lifecycle Innovations, we give electronics their next best life while protecting our planet and our customers' interests. As a Certified Great Place to Work® since 2017, we've built a team culture that's rewarding, engaging, and FUN! But don't just take our word for it-see what our Team Members have to say.
How We Hire: The Head, Heart, and Briefcase
At Dynamic Lifecycle Innovations, we believe great performance comes from alignment across three areas:
  • Head - your natural behavioral drives and cognitive agility (measured by our Predictive Index assessment)
  • ♥Heart - your values, passions, and what drives you to make a meaningful impact
  • Briefcase - your experiences, skills, and results from past roles

Every step of our process is designed to understand you in all three areas. It's how we ensure the best mutual fit, not just for what you can do, but for how you'll thrive here long-term.
You'll start with the Predictive Index (PI) assessment (takes <20 minutes total), then move through structured interviews, work samples, and culture-focused interviews. We respect your time and promise clear, timely communication throughout.
Work Location: Onalaska, WI (Hybrid options)
Compensation & Benefits
Total Compensation: $85,000 - $120,000 annually
Benefits Include:
  • Comprehensive health benefits starting the first of the month following hire
  • 401(k) with company match
  • Profit sharing
  • Generous paid time off and paid holidays

Your Purpose
As our Senior Data Engineer, you'll serve as the primary technical owner of our Azure Databricks lakehouse and the integrations that keep data moving across our enterprise. You'll build reliable bronze, silver, and gold data layers, create trusted data products for Power BI, analytics, automation, and AI, and develop secure application integrations using MuleSoft and other technologies.
Your work will turn complex data into dependable, reusable assets, helping teams make better decisions while establishing the engineering standards, architecture, and governance that allow our data platform to scale.
What You'll Do
  • Own and operate the Azure Databricks lakehouse, helping shape its architecture, standards, governance, reliability, and future roadmap.
  • Design, build, deploy, and support scalable ingestion pipelines from enterprise applications, APIs, relational databases, flat files, SaaS platforms, and external sources.
  • Develop and maintain bronze, silver, and gold data layers using Delta Lake, SQL, Python, and PySpark, including dimensional models and business-ready datasets.
  • Optimize Databricks workloads for performance, scalability, maintainability, reliability, and cost.
  • Design and support APIs, application interfaces, automated workflows, and file-based integrations using MuleSoft and other integration technologies.
  • Implement data quality controls, reconciliation, lineage, monitoring, logging, alerting, and recovery practices; lead root-cause analysis when issues occur.
  • Partner with business stakeholders, BI developers, application owners, architects, vendors, and consultants to translate needs into durable technical solutions and documentation.

What You Bring (Briefcase)
  • Bachelor's degree in computer science, information technology, software engineering, or a related field. Additional relevant experience will be considered in lieu of formal education.
  • Five or more years of progressive, hands-on experience designing, developing, deploying, and supporting enterprise data pipelines, analytical data models, and application integrations.
  • Production experience with cloud-based ingestion, transformation, dimensional modeling, data quality, monitoring, troubleshooting, and curated data delivery for reporting or analytics.
  • Advanced SQL skills and proficiency with Python and PySpark for production-grade pipelines and transformations.
  • Experience applying Git-based source control, CI/CD, automated deployment, and environment configuration practices to data engineering workloads.
  • Preferred: Hands-on experience with Azure Databricks, Delta Lake, Unity Catalog, Databricks Workflows, Auto Loader, Lakeflow Declarative Pipelines, or comparable modern data-platform tooling.
  • Preferred: Experience with MuleSoft Anypoint Platform or another enterprise integration/iPaaS platform, plus Power BI datasets or semantic models.
  • Preferred: Experience integrating ERP, CRM, finance, logistics, WMS, manufacturing, or other operational systems into an enterprise data platform.

Skills & Abilities (Head)
  • Deep understanding of lakehouse and medallion architecture, including bronze, silver, and gold data layers.
  • Strong command of batch, streaming, incremental, change-data-capture, API-based, and file-based ingestion patterns.
  • Ability to design dimensional models and curated data products that support reporting, self-service analytics, machine learning, and AI.
  • Strong diagnostic thinking-you can trace discrepancies across source systems, transformation logic, integrations, and reporting layers to find the real cause.
  • Sound judgment in balancing speed with long-term maintainability, scalability, security, governance, reliability, and cost.
  • Clear communication and documentation skills, with the ability to translate business requirements into technical designs and collaborate across technical and non-technical teams.
  • Working knowledge of secure cloud-data practices, including access control, secrets management, encryption, service principals, and environment separation.

♥ Who You Are (Heart)
You're a hands-on builder who enjoys creating order from complexity and taking meaningful ownership of the platforms behind the scenes.
You are curious enough to explore better approaches, disciplined enough to build for production, and persistent enough to stay with a difficult data issue until it is truly resolved.
You collaborate with humility, communicate clearly, share what you know, and care deeply about earning trust in both the data and the relationships surrounding it.
Most of all, you're energized by the chance to build something that scales-and to see your work improve decisions across an entire business.
♥ Why You'll Love Working Here
Purpose with Impact: Help give electronics their "next best life" while protecting the planet Award-Winning Culture: Certified Great Place to Work® since 2017
Innovation Encouraged: Your ideas are welcomed and valued Growth Opportunities: Learn, grow, and lead at an enterprise level♥ Values-Driven Organization: We live our values-not just talk about them
Equal Employment Opportunity
Dynamic Lifecycle Innovations is an equal opportunity employer and is committed to providing fair employment opportunities for all based on merit. For positions subject to state contract requirements, we adhere to state affirmative action obligations and take proactive steps to ensure equal opportunity in our hiring practices. We do not discriminate or make any employment decisions on the basis of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other characteristic protected by law.

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