IGEN U.S.

Venture United States, Wisconsin, Appleton 222 West College Avenue (Show on map) May 29, 2026\nPOSITION 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. Preferred location for this position is our Corporate Headquarters in Appleton, WI, with hybrid work options available.

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.\nArchitects 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.\nEstablishes 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.\nOwns 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.\nDrives 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.\nImplements and maintains data lineage, catalog, and metadata management
ensuring every governed KPI has a traceable source, definition, owner, and certification status.\nPartners 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.\nUses 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.\nDesigns 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.\nImplements 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.\nDrives engineering best practices across the data function
including CI/CD for data, version control, automated testing of transformation logic, observability, and incident response.\nMentors 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.\nOptimizes cost and performance across the Snowflake platform
including warehouse sizing, query optimization, storage management, and chargeback visibility for consuming functions.\nContinuously 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.\nLives the company values of High Performance, Caring Relationships, Strategic Foresight, and Entrepreneurial Spirit. Champions continuous improvement and quality.\nSupports corporate efforts for safety, government compliance, and all other company policies and procedures.\nLive our values of High Performance, Caring Relationships, Strategic Foresight, and Entrepreneurial Spirit\nFind A Better Way by championing continuous improvement and quality control efforts to identify opportunities to innovate and improve efficiency, accuracy, and standardization\nContinuously learn and develop self professionally\nSupport corporate efforts for safety, government compliance, and all other company policies & procedures\nPerform other related duties as required and assigned\n

QUALIFICATIONS

Required:

Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related discipline; or equivalent demonstrated experience.\n4-7 years of professional data engineering experience, with demonstrated technical leadership on enterprise-grade data platforms.\nAdvanced proficiency in SQL

including complex query authoring, performance tuning, and schema design at scale.\nHands-on proficiency with modern data transformation tooling
dbt (preferred), Dataform, or equivalent transformation framework
including modular model design, testing, documentation, and CI/CD integration.\nHands-on proficiency with workflow orchestration tooling
Airflow, Azure Data Factory, Dagster, or equivalent
including DAG design, dependency management, and operational monitoring.\nProduction experience with Snowflake
including warehouse design, role-based access control, performance optimization, and cost management.\nStrong working experience on Microsoft Azure data services
including Azure Data Factory, Azure SQL, Storage, Key Vault, and integration with Azure security and identity services.\nDemonstrated experience designing and operating production data pipelines
including ingestion patterns, transformation frameworks, and observability.\nHands-on experience using AI development assistants (GitHub Copilot, Microsoft Copilot, Claude, or equivalent) as part of daily development practice.\nStrong working knowledge of data modeling
conceptual, logical, and physical
including dimensional modeling and modern data product patterns.\nWorking knowledge of data governance, lineage, and cataloging practices
including data classification, definition stewardship, and metadata management.\nWorking knowledge of CI/CD for data
version control, automated testing, environment promotion, and rollback strategies.\nUnderstanding of data security and compliance frameworks
SOC 2, GDPR, and PII handling principles
with the ability to operate inside a regulated-data environment.\nProficiency with at least one programming language for data work (Python, Scala, or equivalent)
including for pipeline orchestration, custom transformations, and integration with platform APIs.\nStrong 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.

\nDemonstrated ability to mentor and grow engineering talent.

Preferred:

SnowPro Core or SnowPro Advanced certification.\nAzure data certification (e.g., DP-203 Data Engineer Associate).\nExperience with Power BI

including dataset modeling, refresh management, and integration with Snowflake or Azure data sources.\nExperience integrating data platforms with AI/ML services
Azure OpenAI Service, Azure AI Foundry, or vector database technologies.\nExperience with streaming platforms (Kafka, Azure Event Hub, Pub/Sub) and CDC patterns at scale.\nExperience contributing to or operating a data Center of Excellence model
including intake processes, prioritization, and stakeholder management.

\nExperience with infrastructure-as-code for data platforms (Terraform, Bicep).\nExperience working in regulated industries or with compliance-sensitive workloads (SOC 2 Type 2, SOX, financial data, regulated commerce).\nFamiliarity with data mesh, domain-oriented data product, or lakehouse architectures.\nExperience 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 employmentbased nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a fulltime 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. 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Senior Data Engineer - IGEN