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Azure Data Warehouse Developer Jobs in La Crosse, WI

Schedule prototype, custom, and engineered products with limited historical production data ... (CRM), warehouse management systems, barcode data collection, and production equipment where ...

GEA Group, founded in Germany in 1881, is a global leader in engineering solutions, serving ... Proficient in using Warehouse Management Systems (WMS) and basic data entry. * Equipment Operation:

Material Handler II

Galesville, WI · On-site

$20 - $22/hr

GEA Group, founded in Germany in 1881, is a global leader in engineering solutions, serving ... Proficient in using Warehouse Management Systems (WMS) and basic data entry. * Equipment Operation:

Materials Handler III/Coach

Winona, MN · On-site

$17.62 - $22.03/hr

... warehouse coworkers in specific areas of expertise • All employees are responsible for the ... leading the way in engineering design and delivering world-class manufacturing services for ...

Logistics Team Leader I

Winona, MN · On-site

$17.62 - $26.44/hr

... data from which answers can be readily obtained. • Learns to use professional concepts. • ... warehouse experience • Knowledgeable in processes to fully support a shift without additional ...

Showing results 41-48

Azure Data Warehouse Developer information

See La Crosse, WI salary details

$13

$53

$71

How much do azure data warehouse developer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for azure data warehouse developer in La Crosse, WI is $53.43, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $63.70 per hour, depending on experience, location, and employer.

What is the difference between Azure Data Warehouse Developer vs Data Engineer?

AspectAzure Data Warehouse DeveloperData Engineer
Primary FocusDesigning and developing data warehouse solutions on AzureBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsAzure SQL, SSIS, T-SQL, Azure Data FactorySQL, Python, ETL tools, cloud platforms
Work EnvironmentData warehousing projects within cloud environmentsBroader data infrastructure across multiple platforms

Azure Data Warehouse Developers specialize in creating data warehouse solutions on Azure, focusing on data storage and retrieval. Data Engineers have a broader role, building data pipelines and infrastructure across various platforms. While both roles require SQL and cloud knowledge, Azure Data Warehouse Developers focus more on data warehousing technologies, whereas Data Engineers handle end-to-end data processing and architecture.

Master Scheduler

XETEX LLC

Holmen, WI • On-site

Full-time

Re-posted 4 hours ago


Job description

Description

About XeteX

At XeteX, our mission, vision, and values drive our company purpose: "Helping Buildings Breathe Better." By designing and manufacturing high-performing energy recovery ventilation and air handling solutions for industrial and commercial buildings, XeteX produces a better world for all of us. 

XeteX was founded in 1984. In recent years, our Company has experienced unprecedented growth and has been recognized as an eight-time Inc. 5000 Honoree ranking as one of the fastest-growing private companies in America. Our headquarters are located in Coon Rapids, MN and our production facilities are based in Holmen, WI.

Xetex is teaming with innovation, expertise, and outstanding people. That is why we value our people as our greatest asset! Our employees lead through integrity, apply creativity and talent, invent innovative solutions to meet new demands, and offer effective services/products to be leaders in the industry. By adding your creativity, innovations, and contributions, you take pride in being a valued member of our growth and success.

Master Scheduler

The Master Scheduler develops and manages the mid- to long-term production schedule, balancing customer delivery commitments with plant capacity. This role leads cross-functional alignment between engineering, purchasing, logistics, sales, and production to ensure the master schedule is accurate, achievable, and communicated effectively. In addition to overseeing schedule adherence, the Master Scheduler analyzes performance metrics, drives process improvements, and mentors scheduling staff. Strategic planning, advanced problem solving, and strong communication are the three most critical aspects of this position.

Job Duties: 

  • Develop and maintain daily and weekly production schedules for a high-mix manufacturing environment with frequent schedule changes.
  • Prioritize production based on customer promise dates, revenue impact, engineering readiness, material availability, and manufacturing constraints.
  • Continuously rebalance schedules as customer demand, engineering changes, supplier deliveries, and production issues evolve.
  • Optimize production flow while minimizing work center congestion and excessive work-in-process.
  • Coordinate closely with Engineering to ensure released drawings, bills of material, routings, and manufacturing documentation are complete before production release.
  • Schedule prototype, custom, and engineered products with limited historical production data.
  • Manage engineering change orders (ECOs) with minimal disruption to production schedules.
  • Identify manufacturing bottlenecks using Theory of Constraints (TOC) principles.
  • Balance constrained work centers to include fabrication, welding, machining, paint, assembly, and testing.
  • Coordinate labor and machine capacity across multiple value streams.
  • Ensure work orders are released only when required materials, drawings, tooling, and quality documentation are available.
  • Collaborate with Purchasing to proactively resolve shortages and supplier delays.
  • Develop recovery plans for critical shortages without negatively impacting overall schedule performance.
  • Identify opportunities to automate manual planning activities through ERP workflows, scheduling tools, reporting, alerts, and integrations.
  • Support integration development from excel based planning to ERP system and Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM), Customer Relationship Management (CRM), warehouse management systems, barcode data collection, and production equipment where applicable.
  • Ensure planning processes support Lean Manufacturing principles by reducing manual transactions, eliminating duplicate data entry, improving schedule visibility, and enhancing decision-making through accurate, real-time information.
  • Train planners, production supervisors, and cross-functional users on ERP planning processes, scheduling best practices, and data integrity standards. Audit ERP transactions to ensure schedule integrity and accurate production reporting.
  • Develop dashboards that provide visibility into:
    • Schedule attainment
    • Capacity utilization
    • Material shortages
    • Production bottlenecks
    • Queue times
    • Work-in-process
    • On-time delivery
    • Past-due work orders
    • Planning exceptions
  • Reduce schedule volatility through improved planning disciplines.
  • Increase schedule adherence while maintaining flexibility for customer priorities.
  • Improve ERP planning accuracy through root-cause analysis of planning exceptions.
  • Drive Lean scheduling methodologies that reduce lead time and improve manufacturing flow.

Requirements

Associate degree in Business required; Bachelor's degree in Business preferred.

3-5 years of experience as a Production Coordinator or in a related manufacturing role (custom manufacturing experience is a plus).

APICS certification preferred.

Advanced ERP and Excel skills; proficient in interpreting Bills of Materials (BOMs) and routings.

Advanced Excel and Microsoft Office skills

Detail oriented 

Strong follow-up skills 

Ability to multi-task and problem solve

Good verbal and written communication skills


Equal Opportunity Employer

XeteX is an equal opportunity employer. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.