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Lineage Jobs in Wisconsin (NOW HIRING)

$109K - $144K/yr

Lead AI Engineer, Agentic Data Lineage Location: Montreal, Canada Work Type: Hybrid min 3 days work from office per week Interview rounds: L1 and L2 JD: Lead AI Engineer, Agentic Data Lineage What ...

Ability to understand instructions in Country's official language or as defined by Lineage Logistics * Ability to work in temperatures as low as -20 Fahrenheit/-25 Celsius in cold storage sites or up ...

Custodian

Waukesha, WI · On-site

$18/hr

Ability to understand instructions in Country's official language or as defined by Lineage Logistics * Ability to work in temperatures as low as -20 Fahrenheit/-25 Celsius in cold storage sites or up ...

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Lineage information

See Wisconsin salary details

$11

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$27

How much do lineage jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for lineage in Wisconsin is $19.48, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.07 per hour, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

High-paying roles such as sales managers, real estate brokers, or skilled trades like electricians and plumbers can earn $10,000 or more monthly without a college degree, often requiring experience, certifications, or licensing. Success in these fields depends on skills, networking, and performance rather than formal education.

What is the difference between Lineage vs Data Analyst?

AspectLineageData Analyst
Required credentialsKnowledge of data management, data governance, and sometimes certifications in data managementBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis or tools
Work environmentData management teams, IT departments, data governance officesBusiness units, analytics teams, IT departments
Employer and industry usageUsed across industries for data tracking and governanceUsed in finance, marketing, healthcare, and other sectors for insights and reporting
Common search and comparison intentUnderstanding data tracking roles and responsibilitiesAnalyzing data to inform business decisions

Lineage focuses on tracking data's origin, movement, and transformation within systems, ensuring data quality and compliance. Data Analysts interpret data to generate insights and support decision-making. While both roles work with data, Lineage emphasizes data governance and management, whereas Data Analysts focus on analysis and reporting.

Is Lineage a good company to work for?

Lineage is a company that provides cloud-based data management and analytics solutions. Employee reviews often cite a collaborative environment and opportunities for technical skill development, but experiences can vary depending on the role and department.

What are Lineage jobs?

Lineage jobs typically refer to roles involved in data lineage, which is the process of tracking the flow and transformation of data through systems, pipelines, and databases. Professionals in these jobs are responsible for documenting where data originates, how it moves, and how it is altered throughout its lifecycle. These roles are essential for ensuring data quality, compliance, and transparency within organizations, especially those dealing with large and complex datasets. Lineage jobs may include data engineers, data analysts, or specialized data lineage analysts who use tools to visualize and monitor data movement. Understanding data lineage helps organizations troubleshoot issues, meet regulatory requirements, and make informed business decisions.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day typically include specialized roles such as surgeons, anesthesiologists, corporate lawyers, and senior executives, often requiring advanced degrees, certifications, or extensive experience. Freelance consultants, project managers in large industries, and certain skilled trades like commercial pilots or oil and gas engineers may also reach this level with significant expertise and demand. These roles often involve high responsibility, long hours, or specialized skills.

What are some common challenges faced by professionals working in supply chain roles at Lineage Logistics, and how can they be addressed?

Professionals working in supply chain roles at Lineage Logistics often encounter challenges such as managing tight delivery schedules, adapting to rapidly changing customer demands, and ensuring strict compliance with food safety regulations. These challenges can be addressed by leveraging advanced warehouse management systems, maintaining strong communication with cross-functional teams, and participating in ongoing training programs. Collaboration and continuous process improvement are key to thriving in this fast-paced, team-oriented environment.

What are the salary ranges at Lineage?

Lineage is a company specializing in data management and analytics solutions, not a specific job role. Salary ranges for positions at Lineage vary depending on the role, experience, and location, but generally, data analyst or engineer roles can range from $60,000 to $120,000 annually. Entry-level positions tend to start around $50,000, while senior roles or specialized skills can command higher salaries.

What are the key skills and qualifications needed to thrive as a Lineage Logistics Worker, and why are they important?

To thrive as a Lineage Logistics Worker, you need a strong understanding of warehouse operations, inventory management, and basic safety procedures, often supported by a high school diploma or equivalent. Familiarity with warehouse management systems (WMS), handheld scanners, and forklift operation certifications are commonly required. Attention to detail, teamwork, and strong communication skills help ensure efficiency and accuracy in daily tasks. These skills and qualifications are critical for maintaining smooth logistics operations, ensuring inventory accuracy, and upholding safety standards in a fast-paced environment.
What are popular job titles related to Lineage jobs in Wisconsin? For Lineage jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Lineage jobs? Cities in Wisconsin with the most Lineage job openings:
Infographic showing various Lineage job openings in Wisconsin as of June 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $40,517 per year, or $19.5 per hour.

Lead AI Engineer, Agentic Data Lineage

UnivEdge Consulting LLC

On-site

$109K - $144K/yr

Other

Posted 20 days ago


Job description

Lead AI Engineer, Agentic Data Lineage

Location: Montreal, Canada

Work Type: Hybrid min 3 days work from office per week

Interview rounds: L1 and L2 

JD:

Lead AI Engineer, Agentic Data Lineage
What You Will Do:

  • Define and drive the technical strategy for a Firmwide, column-level data lineage platform built on AI reasoning agents.
  • Architect parsers that build Abstract Syntax Trees (ASTs) from SQL across multiple dialects, stored procedures, Python, Java, Scala, and Spark jobs, then resolve column-level transformations from those trees.
  • Design ingestion of no-code signals from ETL and transformation tools, workflow orchestrators, data catalogs, and BI platforms, normalizing them into a common lineage model.
  • Build a multi-agent system in which specialized deep agents parse, reason, disambiguate, and reconcile conflicting signals, then assemble a coherent end-to-end lineage graph.
  • Establish how agents handle ambiguity (dynamic SQL, runtime configuration, hand-written transformations) by reasoning over context rather than failing silently or guessing.
  • Model and persist lineage as a queryable knowledge graph supporting impact analysis, root-cause tracing, and regulatory evidence generation.
  • Build confidence scoring and validation so every lineage edge carries a provenance signal and a measure of certainty, with low-confidence inferences surfaced for human review.
  • Partner with the Firmwide Data Office, Risk, Compliance, and the divisional technology teams to align the platform with the Firm''s data governance obligations, including BCBS 239, CCAR, GDPR, and SOX.
  • Lead, mentor, and grow a team of AI and data engineers, setting engineering standards, reviewing designs, and owning delivery.
  • Operate within Morgan Stanley''s controls for AI safety, data confidentiality, and model governance.

   
Required Qualifications:

  • 8+ years of software and data engineering experience, including a track record of leading complex platform builds end to end.
  • Strong background in program analysis or compiler techniques: parsing, ASTs, intermediate representations, and static analysis. Hands-on experience with tools such as ANTLR, tree-sitter, sqlglot, or language-native AST libraries.
  • Practical experience building LLM-powered agents or multi-agent systems, including reasoning loops, tool use, retrieval, and orchestration frameworks (LangGraph, LlamaIndex, AutoGen, or equivalent in-house systems).
  • Deep data engineering expertise: SQL fluency across dialects, plus experience with Spark, distributed pipelines, and modern transformation tooling such as dbt.
  • Experience modeling and querying graph data, with a graph database such as Neo4j, Amazon Neptune, or Janus Graph.
  • Strong software engineering fundamentals: testing, CI/CD, and production-grade systems at scale.
  • Demonstrated technical leadership, including mentoring engineers and influencing architecture across teams.

Preferred Qualifications:

  • Experience in financial services, capital markets, or another heavily regulated data environment.
  • Familiarity with data lineage and metadata standards and tools such as OpenLineage, Marquez, DataHub, Apache Atlas, Egeria, Collibra, or Alation.
  • Working knowledge of BCBS 239 data aggregation and risk reporting principles and how they translate into engineering requirements.
  • Experience harvesting metadata from enterprise ETL tools (Informatica, Talend) and BI platforms (Tableau, Power BI).
  • Background in knowledge representation, semantic reasoning, or evaluation of LLM output quality and hallucination control.

   
Tech Stack:
Python, SQL, Spark, and Scala or Java for parsing targets. LLM and agent frameworks for reasoning. Graph databases for lineage storage. Workflow orchestration for pipeline execution. Cloud and on-premise deployment with containerized services. OpenLineage-aligned metadata models.