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Director Data Engineer Jobs in Wisconsin (NOW HIRING)

US Venture, Inc.

Senior Data Engineer - IGEN

Appleton, WI · On-site

$100K - $137K/yr

Partners with the Director, Data & Analytics on the Center of Excellence operating model ... Drives engineering best practices across the data function - including CI/CD for data, version ...

US Venture, Inc.

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

Partners with the Director, Data & Analytics on the Center of Excellence operating model ... Drives engineering best practices across the data function - including CI/CD for data, version ...

Core BTS

GCP Data Engineer

Appleton, WI

$75 - $80/hr

Please note that this is a (contract/contract to hire/direct hire) opportunity with our client and NOT with NRI. Summary As a Data Engineer on the Data Analytics Data Platform (DADP) team, you ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise data architecture strategy that powers the Quad/Rise Data Stack. This role provides architectural ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise data architecture strategy that powers the Quad/Rise Data Stack. This role provides architectural ...

Wisconsin

Research Data Engineer

Madison, WI · On-site

$82K/yr

  • Retirement

  • PTO

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 ...

Faith Technologies

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

Experience: 3+ years direct work experience in a data engineering, analyst, software development or project management capacity. * An understanding of data warehousing and ETL processes. * Awareness ...

Faith Technologies Inc.

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

Experience: 3+ years direct work experience in a data engineering, analyst, software development or project management capacity. * An understanding of data warehousing and ETL processes. * Awareness ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Direct work history working within Agile, Scrum, DevOps, or DataOps development methodologies, including Azure DevOps for project management, CI/CD, and deployment automation * Experience with data ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Direct work history working within Agile, Scrum, DevOps, or DataOps development methodologies, including Azure DevOps for project management, CI/CD, and deployment automation * Experience with data ...

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Communicate regularly with Engagement Managers (Directors), project team members, and ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

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All JobsData Engineer JobsDirector Data Engineer JobsDirector Data Engineer Jobs in Wisconsin

Director Data Engineer information

See Wisconsin salary details

$52K

$148.8K

$198.8K

How much do director data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director data engineer in Wisconsin is $148,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $197,800.00 per year, depending on experience, location, and employer.

What does a director data engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.

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

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

How does a director data engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

How much does a director data engineer make in the US?

A director data engineer in the US typically earns between $130,000 and $180,000 annually, with salaries varying based on experience, location, and company size. They often oversee data teams, manage large-scale data infrastructure, and require expertise in tools like SQL, Python, and cloud platforms.

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

The most popular types of Data Engineer jobs in Wisconsin are:

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

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

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

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

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

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

Director Data Engineer jobs near you
Infographic showing various Director Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $148,840 per year, or $71.6 per hour.

Senior Data Engineer - IGEN

US Venture, Inc.

Appleton, WI • On-site

$100K - $137K/yr

Other

Re-posted 19 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 419 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 .
91-00-800-0000

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