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Contract Databricks Data Engineer Jobs in Milwaukee, WI

Data Architect

Mequon, WI · On-site

$120 - $180/hr

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related ... Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI ...

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

You'll work with a high-performance engineering team and report directly to the Practice Manager ... ADLS, Databricks, Fabric, Synapse, and related tooling * Define and document reference ...

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

New

Showing results 41-60

Contract Databricks Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

How much do contract databricks data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for contract databricks data engineer in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Milwaukee, WI?

The most popular types of Databricks Data Engineer jobs in Milwaukee, WI are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Milwaukee, WI?

For Contract Databricks Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Contract Databricks Data Engineer jobs?

Cities near Milwaukee, WI with the most Contract Databricks Data Engineer job openings:

$120 - $180/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

## Data ArchitectApplylocations: Charter Manufacturing Company, Inc - Mequon, WItime type: Full timeposted on: Posted Yesterdayjob requisition id: R07889## Charter Manufacturing is a fourth-generation family-owned business where our will to grow drives us to do it better. Join the team and become part of our family!Applicants must be authorized to work for ANY employer in the U.S. Charter Manufacturing is unable to sponsor for employment visas at this time.This position is hybrid, 3 days a week in office in Mequon, WI.# # Data Architect## Position Purpose / MissionHelp shape the future of data across a digitally evolving manufacturing enterprise.As our Enterprise Data Architect, you will define and drive the data strategy that powers business intelligence, operational excellence, advanced analytics, automation, and emerging AI capabilities. This highly visible role sits at the intersection of business and technology, partnering closely with leaders across Digital, Operations, Supply Chain, and Finance to create scalable, trusted, and accessible data solutions.You will architect modern data platforms and integration strategies that connect manufacturing systems, ERP platforms, cloud technologies, and analytical applications into a cohesive enterprise ecosystem. Through your leadership, the organization will gain the trusted data foundation needed to accelerate innovation, improve decision-making, and unlock the value of AI and data-driven transformation.This is an exciting opportunity for a strategic thinker who enjoys solving complex challenges, influencing enterprise technology direction, and building the data capabilities that will shape the future of the business.## ## ## Why This Role Matters* Influence enterprise-wide data strategy and architecture decisions.* Drive modernization initiatives across cloud, analytics, and AI-enabled platforms.* Partner directly with business leaders to solve meaningful operational challenges.* Design scalable solutions that impact manufacturing, supply chain, finance, and customer-facing processes.* Establish the foundation for advanced analytics, automation, machine learning, and AI adoption.* Mentor and guide technical teams while promoting modern architecture best practices.## ## ## What You'll Bring### Required Qualifications* Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline; equivalent experience will also be considered.* 6+ years of experience in Data Architecture, Data Engineering, Data Integration, Analytics Architecture, or enterprise-scale data platform design.* Proven success designing enterprise data ecosystems that support both operational and analytical workloads.* Strong understanding of modern data modeling techniques, including normalized, dimensional, canonical, and domain-driven approaches.* Experience establishing governance practices that improve data quality, lineage, security, and trust.* Hands-on knowledge of cloud data technologies, data warehouses, data lakes, APIs, and integration frameworks.* Demonstrated ability to translate complex business requirements into scalable technical solutions.* Exceptional communication skills with the ability to influence stakeholders across both technical and non-technical audiences.### Preferred Qualifications* Experience within manufacturing, supply chain, industrial technology, or ERP-centric environments.* Oracle EBS experience preferred.* Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI, Alteryx, Kafka, CDC, and event-driven architectures.* Exposure to AI/ML platforms, predictive analytics, Industrial IoT, and enterprise data governance programs.* Experience leading data modernization or digital transformation initiatives at scale.## ## ## Key Responsibilities### Enterprise Data Strategy & Architecture* Design and evolve enterprise data architecture that supports business growth, analytics, automation, and AI initiatives.* Establish scalable patterns for data ingestion, integration, storage, transformation, and consumption across hybrid cloud and on-premises environments.* Define architectural standards for APIs, ETL/ELT, streaming, CDC, event-driven solutions, and reusable data products.### Data Governance & Platform Excellence* Champion enterprise standards for data quality, lineage, metadata management, security, and compliance.* Develop trusted, governed data assets that improve consistency, reliability, and accessibility across the organization.* Guide the adoption of modern architecture principles and best practices across data teams.### Analytics, AI & Innovation* Enable advanced manufacturing and operational analytics, including predictive maintenance, supply chain visibility, operational intelligence, and AI-ready data solutions.* Partner with analytics, engineering, and business teams to accelerate self-service reporting, data science, and machine learning initiatives.* Help define the future-state architecture that supports emerging AI and automation capabilities.### Leadership & Collaboration* Facilitate architecture reviews and strategic planning sessions that align business objectives with technology solutions.* Collaborate with cross-functional teams to solve complex technical challenges and drive enterprise consistency.* Mentor technical professionals, share best practices, and foster a culture of innovation and continuous improvement.* Communicate architectural vision and recommendations effectively to executives, business leaders, and technical stakeholders.### ### ### What Makes This Opportunity UniqueThis role offers a rare opportunity to influence enterprise strategy while remaining hands-on with modern data technologies. You'll help build the foundation for next-generation analytics and AI capabilities, partner with leaders across the organization, and play a critical role in the company's ongoing digital transformation journey.The ideal candidate is energized by creating order from complexity, connecting technology to business outcomes, and building data ecosystems that drive meaningful impact.We offer comprehensive health, dental, and vision benefits, along with a 401(k) plan that includes employer matching and profit sharing. Additionally, we offer company-paid life insurance, disability coverage, and paid time off (PTO). #J-18808-Ljbffr