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Data Engineer Jobs in New Berlin, WI (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 ...

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 ...

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 ...

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 ...

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data ...

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data ...

Sr Data Engineer

Menomonee Falls, WI · On-site

$106K - $144K/yr

As a Senior Data Engineer , you will deliver innovative data products that enable Milwaukee Tool to make fast, data-driven decisions. Working closely with business partners and the Data Platform team ...

Sr Data Engineer

Menomonee Falls, WI

$106K - $144K/yr

As a Senior Data Engineer , you will deliver innovative data products that enable Milwaukee Tool to make fast, datadriven decisions. Working closely with business partners and the Data Platform team ...

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Big Data Engineer, Senior EMPLOYER: Fiserv Solutions, LLC LOCATION: Milwaukee, WI (and various unanticipated locations throughout the US subject to authorization from management) DUTIES: Design ...

Senior Data Engineer

Milwaukee, WI · On-site

$104K - $141K/yr

We are looking for a Senior Data Engineer who is passionate about building trusted, scalable data products with modern cloud technologies. As part of the Data & Analytics team, you will design and ...

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Senior AI Data Engineer

Wauwatosa, WI · On-site

$121K - $151K/yr

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

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Showing results 1-20

Data Engineer information

See New Berlin, WI salary details

$43.7K

$127.3K

$174.2K

How much do data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data engineer in New Berlin, WI is $127,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $134,900.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in New Berlin, WI?

The most popular types of Data Engineer jobs in New Berlin, WI are:

What are popular job titles related to Data Engineer jobs in New Berlin, WI?

For Data Engineer jobs in New Berlin, WI, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in New Berlin, WI look for?

The top searched job categories for Data Engineer jobs in New Berlin, WI are:

What cities near New Berlin, WI are hiring for Data Engineer jobs?

Cities near New Berlin, WI with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in New Berlin, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $127,307 per year, or $61.2 per hour.

$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

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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