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1099 Data Engineer Jobs in Wisconsin (NOW HIRING)

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Staff Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Role OverviewThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering ...

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

GCP Data Engineer - (Subcontract at an NRI) Through NRI Resource Management Services (RMS), we offer custom talent solutions to help our clients meet their evolving technology and business needs. We ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

OverviewThe Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that ...

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

The Data Engineer II delivers a range of modern technology solutions while implementing best practices for key stakeholders across the company. Main responsibilities of the Data Engineer II include ...

Data Engineer II

Menasha, WI

$117K - $140K/yr

The Data Engineer II delivers a range of modern technology solutions while implementing best practices for key stakeholders across the company. Main responsibilities of the Data Engineer II include ...

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

Main responsibilities of the Data Engineer II include the development, maintenance, and optimization of our data pipelines and infrastructure. You will collaborate with cross-functional teams to ...

WI · On-site

$90 - $120/hr

# Data Engineer - DatabricksDiegemApply for this job* Permanent* Experienced Professionals* Data & AI* ID 366634-en\_USChoosing Capgemini means choosing a company where you will be empowered to shape ...

Data Engineer I Job Summary: The Center for Health Disparities Research (CHDR), led by Director Dr. Amy Kind and Deputy Directors Drs. Nicole Rogus-Pulia and Andrea Gilmore-Bykovskyi, invites ...

WI · On-site

$80 - $120/hr

As a Cloud Data Engineer, you are a valuable addition to our team. You are the point of contact for colleagues with less experience and are ready to support the further development of one of our ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

Role OverviewThe Senior Data Engineer designs, builds, and maintains scalable data pipelines and data platforms that support analytics, reporting, and data-driven products. This role plays a key part ...

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

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1099 Data Engineer information

What is a 1099 data engineer?

A 1099 Data Engineer is an independent contractor who designs, builds, and manages data systems for organizations, typically working on a project or freelance basis rather than as a full-time employee. The '1099' refers to the IRS tax form used for reporting income earned by self-employed individuals or contractors in the United States. Unlike traditional employees, 1099 Data Engineers are responsible for their own taxes and benefits, and they often work with multiple clients. Their duties may include data integration, pipeline development, database management, and ensuring data reliability. This role is ideal for those seeking flexible work arrangements and a variety of projects.

What are the key skills and qualifications needed to thrive as a 1099 data engineer?

To thrive as a 1099 Data Engineer, you need strong expertise in data modeling, SQL, ETL development, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in these technologies are highly valued. Excellent problem-solving, communication, and time-management skills are crucial for independently managing projects and client relationships. These competencies ensure efficient data solutions, reliable project delivery, and successful collaboration in a contract-based environment.

What are some common challenges faced by 1099 data engineers working as independent contractors?

As a 1099 Data Engineer, one of the main challenges is managing multiple client projects simultaneously while maintaining clear communication and meeting deadlines. Independent contractors are also responsible for their own tools, data security, and staying current with evolving technologies without direct employer support. Additionally, building trust with clients and consistently demonstrating value is essential, since contract extensions and new opportunities often depend on proven performance. Networking and self-promotion are key to securing a steady flow of projects.

What is the difference between 1099 Data Engineer vs W-2 Data Engineer?

Aspect1099 Data EngineerW-2 Data Engineer
Employment StatusIndependent contractor, self-employedEmployee of the company
CredentialsTypically required to have relevant skills and certifications, but no employer-provided credentialsSame credentials as 1099, often with additional company-specific training
Work EnvironmentRemote or on-site, project-basedUsually on-site or hybrid, with company benefits
Tax & BenefitsResponsible for own taxes, no benefitsEmployer handles taxes, provides benefits

In summary, a 1099 Data Engineer works independently, managing their own taxes and benefits, while a W-2 Data Engineer is employed directly by a company with standard employee benefits. Both roles require similar skills and certifications, but differ mainly in employment status and associated responsibilities.

What are popular job titles related to 1099 Data Engineer jobs in Wisconsin?

For 1099 Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching 1099 Data Engineer jobs in Wisconsin look for?

The top searched job categories for 1099 Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for 1099 Data Engineer jobs?

Cities in Wisconsin with the most 1099 Data Engineer job openings:

Infographic showing various 1099 Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% In-person job distribution.

$130K/yr

Full-time

Posted 4 days ago


Job description

Allspring is seeking a Data Engineer II to join Allspring Engineering and Technology Platform Data team (Responsible for Distribution, Marketing, Product & Corporate Data) team. The role requires strong hands-on data engineering skills, business engagement capabilities, and the ability to deliver solutions independently. The ideal candidate will bring asset and/or wealth management experience, strong technical expertise, and a passion for building reliable, scalable data products; and support L2/L3 production incidents through on-call rotations and end-to-end issue resolution.

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days per week.  

Location(s): Charlotte, NC, or Milwaukee, WI


  • Partner directly with stakeholders across Distribution, Sales, Marketing, Corporate, and Finance to gather and clarify business requirements, translate them into technical designs, and implement effective data solutions.
  • Work as a hands-on member of the Distribution Data team, collaborating with senior data engineers, architects, analysts, and business partners to deliver high-quality data products.
  • Design, develop, test, deploy, and support efficient data ingestion, transformation, and integration pipelines using industry-standard tools and technologies.
  • Develop and optimize database solutions, data models, SQL queries, stored procedures, and data processing workflows across Snowflake, Oracle and AWS environments.
  • Build maintainable Informatica Data Management Cloud(IDMC), Snowflake, AWS Aurora, Oracle, Python, Autosys based data engineering solutions, including automation, validation, orchestration, and data quality controls.
  • Use GitHub Copilot or similar coding agents responsibly to accelerate development, testing, documentation, and code review while maintaining engineering quality and security standards.
  • Monitor production data pipelines and resolve data issues, performance bottlenecks, and operational incidents in a timely manner.
  • Partner with Business Intelligence teams to deliver high-quality, trusted data across Salesforce CRMA, Tableau, and Kyvos, enabling effective reporting and analytics.
  • Collaborate with the broader Platform and Data Operations team to continuously enhance the Data Management toolkit, leveraging technologies such as IDMC, Snowflake, AWS Aurora, Iceberg, Autosys, and Datadog.
  • Advance AI adoption across the team to improve operational efficiency and support strategic outcomes.

Required Qualifications

  • Bachelor’s degree or higher in MIS, Computer Science, Engineering, or another technology related field.
  • 5+ years of hands-on data engineering experience, ideally within financial services or asset and/or wealth management, with strong knowledge of industry products and preferably the Distribution domain.
  • 5+ years of Proficient/advanced SQL experience in Oracle, AWS Aurora or similar relational databases.
  • 5+ years of strong experience in architecting, designing, and delivering solutions using IDMC (Informatica Data Management Cloud) or equivalent platforms
  • 3+ years of experience of building data products in Snowflake.
  • 3+ years of AWS Cloud or any other cloud platform experience
  • Ability to use GitHub Copilot or similar coding agents effectively and responsibly as part of the software development lifecycle.
  • Experience with AUM, flows, holdings, positions, securities master, client reporting, CRM, or distribution data domains.
  • Understanding of financial instruments, investment vehicles, and sales/distribution reporting.
  • Experience integrating with REST APIs, SaaS platforms, event-driven architectures, and external vendor data sources.
  • Understanding of data lineage, metadata management, data cataloging, and governance practices
  • Proven experience with Agile development and SDLC using CI/CD devops principles.
  • Ability to independently manage assigned work from requirements gathering through implementation, testing, deployment, and production support.
  • Ability to communicate effectively with business and technical audiences in person and through electronic formats.
  • Ability to work effectively in a collaborative business environment with changing priorities and varying interruptions.
  • Remain in stationary positions for prolonged periods of time.
  • Operate computer programs and software.
  • Ability to communicate effectively with audiences in-person and in electronic formats.
  • Day-to-day contact with others (co-workers and/or public).
  • Ability to work in a collaborative business environment in close quarters with peers and varying interruptions.

Preferred Qualifications

  • 3+ years of working with Autosys or similar Orchestration frameworks.
  • 3+ years pr working with s3 or similar Object storage technologies.
  • Experience working with Salesforce CRM & Salesforce Data Cloud
  • Experience of working with reporting and analytics engines like Tableau, Kyvos and Salesforce CRMA.
  • Experience of working with Salesconnect, Salesvision or similar data aggregators.
  • Strong Business knowledge of Distribution domain in asset management industry in US and global markets.

Please note: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in The United States without sponsorship now or in the future.


Base Pay Range: $95,000 - $115,000

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)

#LI-JD1

#LI-Hybrid


We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status