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Data Engineer Jobs in Waupaca, WI (NOW HIRING)

US Venture, Inc.

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

POSITION SUMMARY The Senior Data Engineer is the technical leader for IGEN's Data Foundation - architecting, building, and operating the Snowflake data platform, Azure-native ingestion infrastructure ...

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable data solutions * Establish and enforce data governance, security, and compliance ...

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Collaborate with data engineers, analysts, and business teams to translate business requirements into scalable technical solutions. * Establish and maintain data governance, security, and compliance ...

Acrisure

Software Engineer, Data (L1)

Stevens Point, WI · On-site

$111K - $133K/yr

Software Engineer, Data (L1) Austin, TX (Onsite 4 days per week) Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. About ...

TEKsystems

Cloud Platforms Engineer

Oshkosh, WI

$35 - $50/hr

Client The Cloud Platforms Engineer is responsible for designing, deploying, securing, and ... Implement secure identity, access, data protection, and responsible AI controls. Automation & IaC

New

Oshkosh Corporation

Reliability Engineer

Oshkosh, WI

$64K - $103K/yr

This role focuses on applying data analysis to support Reliability and Maintainability (R&M ... Collaborate with engineering and maintenance development teams to translate data insights into ...

US Venture, Inc.

Senior BI Analyst - IGEN

Appleton, WI · On-site

Partners with the Senior Data Engineer and Data Engineers on data product requirements - including source data needs, transformation logic, refresh cadence, and SLA definition - ensuring the data ...

Vertex Elite LLC

AWS Architect: Neenah, WI

Neenah, WI · On-site

$65.50 - $85.75/hr

Collaborate with data engineers, analysts, and business stakeholders to translate business needs into scalable data solutions. Establish data governance, security, and compliance frameworks following ...

AWI Engineering

Controls Engineer

Appleton, WI · On-site

$81K - $105K/yr

Communicate proficiently with clients and engineering team on critical project data, schedules, scope, cost, etc. * Assist with field audits, commissioning and system installation as required

AWI Engineering

Controls Engineer

Appleton, WI

$81K - $105K/yr

Communicate proficiently with clients and engineering team on critical project data, schedules, scope, cost, etc. * Assist with field audits, commissioning and system installation as required

CCI Systems, Inc.

Data Center Technicians

Appleton, WI · On-site

We are seeking Data Center Technicians who are responsible for installing, splicing, testing, and ... Coordinate with project managers, engineers, and other field crews. * Produce accurate and complete ...

New

CCI Systems, Inc.

Data Center Technicians

Oshkosh, WI · On-site

We are seeking Data Center Technicians who are responsible for installing, splicing, testing, and ... Coordinate with project managers, engineers, and other field crews. * Produce accurate and complete ...

New

Kelly Services

Quality Engineer

Oshkosh, WI

$40 - $55/hr

Perform data analysis and communicate findings to manufacturing, engineering, quality, suppliers, and management. * Provide hands-on quality support to production teams when manufacturing or quality ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Waupaca, WI

Data Engineer information

See Waupaca, WI salary details

$42.6K

$124.1K

$169.8K

How much do data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data engineer in Waupaca, WI is $124,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 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.
More about Data Engineer jobs

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Waupaca, WI as of August 2026, with employment types broken down into 84% Full Time, 8% Temporary, and 8% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $124,059 per year, or $59.6 per hour.

Senior Data Engineer - IGEN

US Venture, Inc.

Appleton, WI • On-site

$103K - $140K/yr

Full-time

Re-posted 29 days ago

U.S. Venture rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

91st of 426 rated retail wholesalers

Job description

POSITION SUMMARY
The Senior Data Engineer is the technical leader for IGEN's Data Foundation - architecting, building, and operating the Snowflake data platform, Azure-native ingestion infrastructure, and governed data products that the broader organization depends on for trusted decision-making and AI-powered capability. Owns the architectural integrity of the platform - ingestion patterns, transformation frameworks, schema governance, lineage, and pipeline SLAs - and partners directly with the Director, Data & Analytics on platform strategy. Operates with AI-assisted development capabilities as a standard part of the discipline, builds within the broader Microsoft and Azure ecosystem, and mentors Data Engineers as the function scales. Works inside the AI governance framework developed in partnership with U.S. Venture Legal, InfoSec, Privacy, and Compliance, ensuring the data foundation supports IGEN's SOC 2 Type 2 obligations and the responsible deployment of AI capabilities across the platform.
IGEN, a division of U.S. Venture, is a leading tax compliance software company trusted by industry leaders. Our tax compliance platform, powered by a data engine, gives you the complete toolkit for reducing redundancy and risk while managing tax compliance implications across the organization.
This position is open to onsite (Appleton, WI), hybrid, or remote work options.
JOB RESPONSIBILITIES
  • Leads the design and implementation of enterprise-grade data pipelines on Snowflake and Azure - owning ingestion, transformation, and serving layers for governed data products that support leadership reporting, client experience analytics, product usage analytics, and the regulatory intelligence pipeline.
  • Architects ingestion and integration patterns across IGEN's source systems - including operational databases, SaaS platforms, regulatory data sources, and product telemetry - applying CDC, batch, and streaming patterns where appropriate.
  • Establishes and maintains transformation frameworks using dbt as the modeling standard, defines layering and naming conventions, and ensures all pipelines are version-controlled, tested, and observable.
  • Owns pipeline SLAs across the platform - defining and tracking freshness, completeness, and error-rate targets for every data product, with documented runbooks and on-call rotation for production-critical pipelines.
  • Drives schema governance and data modeling discipline - including conceptual, logical, and physical data models, naming conventions, and the management of breaking changes across consuming Power BI dashboards and downstream AI capabilities.
  • Implements and maintains data lineage, catalog, and metadata management - ensuring every governed KPI has a traceable source, definition, owner, and certification status.
  • Partners with the Director, Data & Analytics on the Center of Excellence operating model - including intake processes, prioritization, stakeholder reviews, and the technical roadmap for the data platform.
  • Uses AI development assistants - GitHub Copilot, Microsoft Copilot, Claude, and emerging agent-based tooling - as a standard part of daily engineering practice. Applies sound judgment in reviewing, validating, and securing AI-generated transformation logic and pipeline code.
  • Designs and operates the regulatory intelligence pipeline - ingesting jurisdictional updates from federal, state, and local sources and structuring them for downstream AI-assisted change-impact analysis against ComplyIQ, Tax Determination, and Reconciliation modules.
  • Implements data security, privacy, and compliance controls aligned with SOC 2 Type 2 obligations and the AI governance framework - including data classification, access controls, encryption at rest and in transit, PII handling, and audit trail requirements. Partners with U.S. Venture InfoSec, Privacy, and Compliance as required.
  • Drives engineering best practices across the data function - including CI/CD for data, version control, automated testing of transformation logic, observability, and incident response.
  • Mentors Data Engineers - through code review, architectural pairing, and knowledge sharing - and contributes to the growth of the team's technical capability as IGEN scales the function.
  • Optimizes cost and performance across the Snowflake platform - including warehouse sizing, query optimization, storage management, and chargeback visibility for consuming functions.
  • Continuously develops professionally - particularly in AI-assisted development, agentic data workflows, and emerging Microsoft and Azure data platform capabilities. Stays current as the boundary between human and agent work continues to evolve.
  • Lives the company values of High Performance, Caring Relationships, Strategic Foresight, and Entrepreneurial Spirit. Champions continuous improvement and quality.
  • Supports corporate efforts for safety, government compliance, and all other company policies and procedures.
  • Live our values of High Performance, Caring Relationships, Strategic Foresight, and Entrepreneurial Spirit
  • Find A Better Way by championing continuous improvement and quality control efforts to identify opportunities to innovate and improve efficiency, accuracy, and standardization
  • Continuously learn and develop self professionally
  • Support corporate efforts for safety, government compliance, and all other company policies & procedures
  • Perform other related duties as required and assigned

QUALIFICATIONS
Required:
  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related discipline; or equivalent demonstrated experience.
  • 4-7 years of professional data engineering experience, with demonstrated technical leadership on enterprise-grade data platforms.
  • Advanced proficiency in SQL - including complex query authoring, performance tuning, and schema design at scale.
  • Hands-on proficiency with modern data transformation tooling - dbt (preferred), Dataform, or equivalent transformation framework - including modular model design, testing, documentation, and CI/CD integration.
  • Hands-on proficiency with workflow orchestration tooling - Airflow, Azure Data Factory, Dagster, or equivalent - including DAG design, dependency management, and operational monitoring.
  • Production experience with Snowflake - including warehouse design, role-based access control, performance optimization, and cost management.
  • Strong working experience on Microsoft Azure data services - including Azure Data Factory, Azure SQL, Storage, Key Vault, and integration with Azure security and identity services.
  • Demonstrated experience designing and operating production data pipelines - including ingestion patterns, transformation frameworks, and observability.
  • Hands-on experience using AI development assistants (GitHub Copilot, Microsoft Copilot, Claude, or equivalent) as part of daily development practice.
  • Strong working knowledge of data modeling - conceptual, logical, and physical - including dimensional modeling and modern data product patterns.
  • Working knowledge of data governance, lineage, and cataloging practices - including data classification, definition stewardship, and metadata management.
  • Working knowledge of CI/CD for data - version control, automated testing, environment promotion, and rollback strategies.
  • Understanding of data security and compliance frameworks - SOC 2, GDPR, and PII handling principles - with the ability to operate inside a regulated-data environment.
  • Proficiency with at least one programming language for data work (Python, Scala, or equivalent) - including for pipeline orchestration, custom transformations, and integration with platform APIs.
  • Strong communication and collaboration skills - able to work effectively with engineering peers, business analysts, the Director of Data & Analytics, and cross-functional stakeholders in Product, Client Experience, Sales, and Marketing.
  • Demonstrated ability to mentor and grow engineering talent.

Preferred:
  • SnowPro Core or SnowPro Advanced certification.
  • Azure data certification (e.g., DP-203 Data Engineer Associate).
  • Experience with Power BI - including dataset modeling, refresh management, and integration with Snowflake or Azure data sources.
  • Experience integrating data platforms with AI/ML services - Azure OpenAI Service, Azure AI Foundry, or vector database technologies.
  • Experience with streaming platforms (Kafka, Azure Event Hub, Pub/Sub) and CDC patterns at scale.
  • Experience contributing to or operating a data Center of Excellence model - including intake processes, prioritization, and stakeholder management.
  • Experience with infrastructure-as-code for data platforms (Terraform, Bicep).
  • Experience working in regulated industries or with compliance-sensitive workloads (SOC 2 Type 2, SOX, financial data, regulated commerce).
  • Familiarity with data mesh, domain-oriented data product, or lakehouse architectures.
  • Experience with observability tooling for data (Monte Carlo, Great Expectations, OpenTelemetry, or equivalent).

DIVISION:
IGEN
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
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