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Synapse Jobs in Wisconsin (NOW HIRING)

Society Insurance

Data Architect

Fond Du Lac, WI · On-site

$100 - $130/hr

Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) * Deep understanding of data modeling, ETL/ELT patterns, and data integration. * Experience implementing ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, or similar. * Strong applied knowledge of machine learning and ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

Advanced SQL skills with experience working with Microsoft Fabric Lakehouse, Fabric Warehouse, Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured datasets

Cegeka Deutschland GmbH

WI · On-site

$90 - $120/hr

Je beschikt over diepgaande kennis van moderne dataplatformen en ecosystemen zoals Microsoft Azure Data & AI stack (Fabric, Synapse, Data Factory, Azure Databricks, ...), Snowflake en andere cloud ...

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All JobsSynapse JobsSynapse Jobs in Wisconsin

Synapse information

See Wisconsin salary details

$16K

$101.3K

$141.5K

How much do synapse jobs pay per year?

As of Aug 21, 2026, the average yearly pay for synapse in Wisconsin is $101,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,008.00 and $126,469.00 per year, depending on experience, location, and employer.

What is a synapse?

A Synapse job typically refers to a role related to Microsoft Azure Synapse Analytics, a cloud-based big data and analytics service. Professionals in this role work with data integration, analysis, and processing, often using SQL, Spark, and AI tools. Responsibilities may include data warehousing, pipeline creation, performance optimization, and security management. These roles are common in industries requiring large-scale data analytics and business intelligence.

What are the key skills and qualifications needed to thrive as a synapse software engineer, and why are they important?

To excel as a Synapse Software Engineer, you need strong programming skills, experience with cloud data platforms (especially Azure Synapse Analytics), and a background in computer science or a related field. Familiarity with SQL, data integration tools, Azure Data Factory, and certifications like Microsoft Certified: Azure Data Engineer Associate are often required. Problem-solving, attention to detail, and effective communication are vital soft skills for collaborating on complex data projects. These competencies ensure efficient data solutions, robust analytics pipelines, and successful outcomes in fast-evolving enterprise environments.

What are some common challenges faced by synapse engineers when integrating new neural models into existing systems?

Synapse engineers often encounter challenges with compatibility and scalability when integrating new neural models into established systems. Balancing the need for high performance with resource constraints, such as memory and processing power, is a frequent obstacle. Additionally, ensuring seamless communication between different components and maintaining system stability during updates requires careful testing and collaboration with cross-functional teams. Staying current with evolving machine learning frameworks also presents an ongoing learning curve.

What is the difference between Synapse vs Data Analyst?

AspectSynapseData Analyst
CredentialsTypically requires knowledge of Azure Synapse, data engineering, and cloud platformsOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentPrimarily cloud-based, involving data integration, warehousing, and big data processingUsually office-based, focusing on data interpretation, reporting, and visualization
Industry UsageUsed in data engineering, data warehousing, and big data projects within tech, finance, and healthcareCommon in business intelligence, marketing, finance, and consulting sectors

Synapse is a cloud-based data platform focusing on data integration and big data processing, while a Data Analyst primarily interprets data and creates reports. Both roles often collaborate but serve different functions within data management and analysis.

What are the most commonly searched types of Synapse jobs in Wisconsin?

The most popular types of Synapse jobs in Wisconsin are:

What are popular job titles related to Synapse jobs in Wisconsin?

For Synapse jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Synapse jobs in Wisconsin look for?

The top searched job categories for Synapse jobs in Wisconsin are:

What cities in Wisconsin are hiring for Synapse jobs?

Cities in Wisconsin with the most Synapse job openings:

Synapse jobs near you
Infographic showing various Synapse job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 4% Part Time, and 11% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $101,263 per year, or $48.7 per hour.

Data Automation Manager

Direct Supply, Inc.

Milwaukee, WI • On-site

Full-time

Posted 8 days ago

Job description

Position Summary:
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them.
In the Data Automation Manager position, you'll transform manual sales, marketing, CRM, and customer data processes into scalable, automated workflows that improve accuracy, reduce operational effort, and unlock actionable insights. You'll design and implement AI-powered automation solutions using machine learning, intelligent APIs, and external data sources to enrich customer and prospect data, strengthen data governance, and improve the usability of information that supports demand generation, sales effectiveness, and business growth. This role requires a highly technical individual contributor with a strong AI-first mindset and a passion for solving complex data challenges with innovative, future-ready solutions.
Skills Needed:
  • Provides Customer Value - Delivers cutting-edge, tech-driven solutions paired with outrageous customer service with an eye to profitability. Seizes opportunities that reward both the customer and DS, fostering robust customer relationships.
  • Applies AI and Technology - Identifies opportunities to boost efficiency and add value using AI and tech. Embraces and applies digital innovations and tech solutions to build business. Eagerly learns and integrates new technologies where they matter most.
  • Optimizes Work Processes - Streamlines workflows by harnessing data, AI, and technology. Identifies opportunities for efficiency and incorporates new processes and technology. Defines new success measures.
  • Makes Quality Decisions - Makes swift and sound decisions that propel objectives forward. Hunts for crucial qualitative and quantitative data. Balances thorough analysis with wisdom, experience, and judgment for informed decision-making.
  • Delivers Results - Seizes new opportunities and tackles challenges head-on with urgency. Takes initiative and consistently hits goals. Zeroes in on key priorities for results. Drives progress through uncertainty and moves others to action.

What You'll Do and Impact:
  • Lead the design, development, and deployment of scalable data automation workflows that replace manual data quality, enrichment, and hygiene processes
  • Partner with cross-functional teams (Data Engineering, CRM, Analytics, Marketing, Sales Operations) to identify data challenges and define automation requirements
  • Collaborate with Data Engineering, Database, and Architecture teams to architect, develop, and deploy scalable automation, AI, and data quality solutions that support current business needs and future-state data capabilities
  • Design and implement AI-powered solutions leveraging automation tools, APIs, and machine learning to improve data accuracy, consistency, deduplication, and completeness
  • Build and maintain integrations with third-party data enrichment platforms (e.g., ZoomInfo, Clearbit) and AI-driven tools to continuously enhance enterprise data
  • Apply generative AI and intelligent APIs to enable advanced data matching, classification, enrichment, and correction
  • Establish monitoring, alerting, and feedback mechanisms to ensure automated data processes remain accurate, reliable, and scalable over time
  • Collaborate with Database and Architecture teams to ensure alignment with enterprise data standards, governance, and security practices
  • Define and track key performance metrics (e.g., data quality, efficiency gains, error reduction, ROI) to measure impact and drive continuous improvement
  • Develop and scale self-service automation tools, frameworks, and best practices to enable broader adoption across teams
  • Provide training, documentation, and ongoing support to Partners to maximize adoption and effectiveness of automated data solutions

Experience:
  • 5-8+ years of experience in data quality, data automation, data operations, or related technical roles
  • Strong hands-on experience with SQL and Python, or equivalent automation and scripting technologies
  • Proven experience designing, building, and supporting automated, AI-driven workflows that improve data quality, efficiency, and reliability
  • Experience building and maintaining integrations with APIs, web services, and external data sources
  • Experience defining data quality metrics and operationalizing monitoring, observability, or alerting processes
  • Proven ability to collaborate and influence cross-functional stakeholders across teams such as Analytics, Data Engineering, CRM, Marketing, and Sales Operations

Additional Items of Interest:
  • Experience applying machine learning, generative AI, or advanced automation techniques within data workflows, including entity resolution, data enrichment, anomaly detection, or data correction
  • Experience with modern data platforms such as Databricks, Snowflake, Azure Synapse, or similar cloud-based analytics environments
  • Experience with data orchestration, transformation, and integration tools such as Apache Airflow, dbt, Fivetran, Power Automate, or similar technologies
  • Experience working with third-party enrichment and data intelligence platforms such as ZoomInfo, Clearbit, Data Axle, or similar providers
  • Experience in healthcare, senior living, or other data-intensive B2B environments
  • Knowledge of workflow governance, auditing, compliance controls, and SLA-driven automation
  • Experience creating training materials, operational documentation, and supporting adoption of new processes and technologies
  • Certifications in data engineering, cloud platforms, automation technologies, artificial intelligence, or machine learning

Job to be performed in the location listed. Generous benefit package available.
© 2013 to 2026 Direct Supply, Inc. All rights reserved.

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